The Executive Assistant (EA) to the CEO plays a critical role in ensuring the smooth operation of the CEO’s office. This position requires a highly organized, proactive, and discreet professional who can manage complex scheduling, coordinate travel, facilitate communication, and support interactions with the Board of Directors and Executive Committee (EC) team. The EA will act as a strategic partner to the CEO, ensuring efficiency and effectiveness in daily operations. Key Responsibilities: 

• Manage and prioritize the CEO’s calendar, ensuring optimal time management. 
• Schedule internal and external meetings, including those with the Board of Directors and EC team. 
• Prepare agendas, materials, and follow-ups for key meetings. 
• Coordinate logistics for conferences, speaking engagements, and corporate events. 
• Arrange domestic and international travel, including flights, accommodations, and itineraries. 
• Ensure seamless travel experiences by managing visas, transportation, and meeting schedules. 
• Prepare travel expense reports and reconcile reimbursements. 
• Serve as the primary point of contact for the CEO, managing emails, calls, and inquiries. 
• Draft and review correspondence, presentations, and reports. 
• Ensure timely responses to stakeholders, maintaining professionalism and confidentiality. 
• Liaise with internal teams, clients, and external partners on behalf of the CEO. 
• Coordinate Board meetings, including scheduling, agenda preparation, and minutes documentation. 
• Assist in the preparation of reports and presentations for Board and EC meetings. 
• Maintain governance documents and ensure compliance with corporate policies. 
• Facilitate communication between the CEO and Board members. 
• Work closely with the EC team to align priorities and streamline operations. 
• Support Chief of Staff with strategic initiatives by coordinating cross-functional projects. 
• Assist in organizing leadership retreats, strategy sessions, and corporate events. 

Qualifications: 

• 10+ years of experience supporting CEO, C-Level Executives. 
• Strong organizational skills that reflect ability to perform and prioritize multiple tasks seamlessly with excellent attention to detail 
• Expert level written and verbal communication skills 
• Strong interpersonal skills and the ability to build relationships with stakeholders, including staff, board members, and external partners 
• Proven ability to handle confidential information with discretion, be adaptable to various competing demands, and demonstrate the highest level of service and response 
• Demonstrated proactive approaches to problem-solving with strong decision-making capability 
• Highly resourceful team-player, with the ability to also be effective independently 
• Proficient in Microsoft Office (Outlook, Word, Excel, and Power Point), Adobe Acrobat, Oracle, ERP systems, BoardVantage and Concur

15-20 yrs experience as BA/ PO ; strong  P& C insurance and rockstar communication skills needed & Data projects (data migration) experience.  

We are looking for a strategic and results-driven Product Owner with hands-on experience in Insurance Data Management and a solid understanding of Property & Casualty (P&C) insurance. In this role, you will drive the vision, roadmap, and delivery of data products and platforms that enable accurate, compliant, and efficient data usage across underwriting, claims, actuarial, and regulatory functions.

Key Responsibilities:

• Own and manage the product backlog for insurance data platforms and solutions.
• Define product vision and roadmap aligned with business goals and regulatory requirements.
• Collaborate with business stakeholders, data architects, and engineering teams to translate insurance data needs into clear product features.
• Ensure data quality, governance, and integration initiatives support critical P&C functions (e.g., underwriting, pricing, claims).
• Prioritize features to deliver maximum value to users and ensure timely delivery.
• Act as the SME on insurance data flows, sources, and P&C insurance processes.

Required Qualifications:

• 15-20 years of experience as a Product Owner or Business Analyst in data-focused roles.
• Strong Insurance P&C experience
• Deep understanding of P&C insurance products, data structures, and workflows.
• Proven experience with insurance data management platforms, data warehouses, or MDM solutions. Strong background with Data projects and Data Migration projects  is needed.
• Strong communication and stakeholder management skills across business and technical teams.
• Familiarity with agile frameworks

Key Responsibilities

• Transformation Leadership: Serve as a trusted advisor, leading and providing expert consultation on the transformation journey across multiple workstreams for an enterprise-wide program.
• Project Management: Oversee and drive the successful execution of key project modules, including scoping, timeline management, and progress tracking.
• Current State Assessment & Transformation Strategy: Conduct end-to-end process assessments to develop a roadmap for productivity improvements, automation, and process re-engineering.
• Change Management:
• Lead change management initiatives by coordinating with stakeholders and securing buy-in through Pilots or MVPs.
• Leverage a broad range of leadership and influencing styles—from respected manager to motivational senior coach—while demonstrating resilience in fast-paced, ambiguous environments.
• Stakeholder Management: Build and maintain strong relationships across functions (Technology, Sourcing, Finance), influencing key stakeholders at all levels with clear communication.
• Communications & Reporting: Lead Steering Committee meetings, present project progress to cross-functional leadership, and deliver actionable insights and recommendations.

What You’ll Bring

• 5–10 years of post-graduation experience in transformation consulting, with a proven track record in long-term transformation, operational improvement, or implementation initiatives.
• Strong analytical, problem-solving, communication, and leadership skills.
• Exceptional relationship management abilities, with a talent for building and sustaining effective client partnerships.
• A proactive mindset, eagerness to learn, and a strong drive for professional growth.
• Preferred expertise in Technology and Software Optimization Transformation.
• Tools: Excel & PowerPoint (required); SQL & Power BI (preferred).

We are seeking a talented and experienced Prompt Engineer to join our GenAi team. The ideal candidate will have a strong background in Python programming, AWS cloud services, and hands-on experience with generative AI models (LLMs like GPT, Claude, etc.). You will be responsible for crafting, optimizing, and evaluating prompts for large language models, building reusable prompt frameworks, and integrating them into scalable GenAi applications.

Responsibilities:

• Design and develop effective, context-aware prompts for a variety of use cases.
• Fine-tune and optimize prompt performance using evaluation tools and A/B testing.
• Build scalable backend services and APIs using Python to support GenAi applications.
• Leverage AWS services (Lambda, S3, SageMaker, Bedrock, etc.) for deployment and orchestration.
• Collaborate with data scientists and product teams to translate business needs into GenAi solutions.
• Stay current with emerging GenAi techniques and LLM advancements.

Required Skills:

• Strong Python development experience (min. 4 years)
• Experience working with LLMs, prompt tuning, and prompt chaining
• Hands-on experience with AWS services (e.g., Bedrock, Lambda, SageMaker)
• Familiarity with LangChain, OpenAI API, Hugging Face Transformers, or similar
• Ability to design robust prompt templates and manage prompt libraries
• Strong understanding of REST APIs, CI/CD pipelines, and containerization (Docker)

Good to Have:

• Experience with RAG (Retrieval-Augmented Generation)
• Exposure to MLOps and model deployment workflows
• Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate)

We are looking for a seasoned Product Analyst with experience in P&C insurance to support a Generative AI initiative involving complex integrations.

Key Responsibilities:

• Collaborate with business and technical teams to gather and analyze requirements
• Translate business needs into user stories and technical specifications.
• Work closely with engineering teams to support integrations using Frontend technologies, and backend services.
• Ensure alignment with insurance product rules, workflows, and regulatory requirements.
• Drive UAT and support go-live readiness.

Must-Have:

• 8+ years of experience as a Product Analyst or Business Analyst, with a strong focus on Property & Casualty (P&C) insurance.
• Proven expertise in insurance operations, including policy administration, claims, underwriting, and regulatory compliance.
• Strong track record of collaborating with cross-functional teams including developers, architects, data scientists, and QA.
• Good understanding of API integrations, data contracts, and end-to-end data flows in enterprise systems.
• Proficiency with Agile delivery frameworks, backlog grooming, user story creation, and sprint planning.
• Strong skills in requirements gathering, process mapping, impact analysis, and stakeholder communication.
• Hands-on experience using tools like JIRA, Confluence, Figma, or other product collaboration platforms.
• Familiarity with insurance core platforms (e.g., Guidewire, Duck Creek).

Nice-to-Have:

• Exposure to Generative AI tools and platforms
• Experience integrating AI features into customer-facing portals or internal underwriting tools.
• Understanding of data governance, security, and compliance specific to AI in the insurance sector.

The Audit Lead position will be required to lead audit staff and manage the execution of IT and information system security audits along with leading operational assurance and advisory projects. Successful IT Audit Manager candidates must be able to lead the completion of technical IT audits that support financial or business operations including Sarbanes-Oxley 404 requirements. The IT Audit Manager must be able to effectively interact with IT and business leadership to drive risk mitigation and to stay abreast IT operational changes and emerging technologies. This position will be required to work with IT on key IT initiatives and priorities including Enterprise Risk Management.

Proficient in SAP, S4 HANA, SAP GRC.

Responsibilities

• Managing a team of auditors performing both IT audit and other advisory and assurance projects
• Building a team of talented IT auditors through coaching and development activities
• Developing annual IT audit plan of high risk / importance projects based on independent research and knowledge, interactions with Company leadership and peer benchmarking
• Performing pre- and post-implementation audits of new system implementations, expanding ERP footprint, application re-writes, etc.
• Auditing key system functionality and systematic controls
• Working together with management to assist in identifying opportunities to enhance efficiencies and effectiveness of processes and strengthen controls
• Liaising with IT management to provide ongoing advisory support for system implementations and key IT initiatives (IT security, BCDR, etc.)
• Evaluating the design and execution of the IT general and application controls for Sarbanes-Oxley compliance
• Establishing and maintaining effective relationships with management, external auditors, and other partners to further develop Company knowledge and auditing skills

Requirements

• Bachelor's Degree, preferably in Management Information Systems, Accounting Information Systems, Computer Science or other IT related discipline. Master’s Degree preferred
• CISA, CISSP, CPA or CIA a plus
• Minimum of seven years of experience in IT audit, IT development, internal audit, public accounting, finance, and/or information systems
• Minimum of four years of experience in leading audit staff and managing execution of the audit plan
• Strong human relations, analytical, and oral and written communications skills
• Understanding of key IT processes such as Disaster Recovery, IT Security, Software Licensing, Third Party Hosted Services, etc.
• Knowledge of internal audit principles (IIA Standards, and COSO) and IT control frameworks (COBIT, NIST, SANS, and ISO)
• Familiarity with the following technical areas/platforms beneficial:Operating Systems: IBM Mainframe/RACF, Linux, AIX
• Databases: Oracle, SQL Server, Informix
• ERP: SAP, SAP HANA, S4 HANA, JDE
• Experience in conducting risk assessments and facilitating enterprise risk management a plus
• Experience developing and leading a data analytics program a plus

Develop, maintain, and optimize software for OS, networked systems, and databases. Create platform architecture, fine-tune final programs, and troubleshoot critical issues. Work across the full Software Development Lifecycle (SDLC) — from analysis to deployment.

Qualifications

• Education: Bachelor’s degree in CS or related field (or equivalent experience) + High School diploma.
• Experience: 8+ years in software development/system engineering.
• Core Competencies: Strong communication, problem-solving, customer focus, and time management skills.

Technical Skills (Required)

• WebLogic (MUST HAVE)
• SQL & Oracle DB
• DevOps tools/processes
• Agile methodology
• SDLC expertise: requirements → development → testing → delivery

 Preferred / Nice-to-Haves

• ServiceNow & Dynatrace familiarity (can be learned on the job)
• SQL & database performance tuning
• API development and integration
• Java / J2EE development

 Key Responsibilities

• Partner with engineering to define specifications, performance needs, and integration points.
• Maintain and enhance software systems; resolve technical issues.
• Develop, test, and validate software solutions.
• Provide project updates, documentation, and technical guidance.

We are seeking a seasoned Full Stack Development Manager to lead the delivery of cutting-edge Generative AI (GenAI) solutions. This role involves managing end-to-end development of intelligent, scalable applications that integrate Large Language Models (LLMs) and modern web technologies. You will collaborate with cross-functional teams including FSD, Data Engineers, python Developers, GenAi Developers and business stakeholders to drive innovation and deliver impactful AI-powered products.

 Key Responsibilities

• Technical Leadership: Lead the design, development, and deployment of full-stack GenAI applications.
• GenAI Integration: Oversee integration of LLMs via APIs (OpenAI, Azure OpenAI, Hugging Face, LangChain, etc.) into business workflows.
• Frontend Development: Guide teams in building responsive, user-friendly UIs using frameworks like React, Angular, or Vue.
• Backend Development: Architect and manage scalable APIs and microservices using Node.js, Python, or Java.
• Data Integration: Ensure seamless connectivity with databases, data pipelines, and vector stores (e.g., Pinecone, FAISS).
• Prompt Engineering & RAG: Collaborate on prompt design and retrieval-augmented generation flows.
• DevOps & Deployment: Implement CI/CD pipelines and manage cloud deployments (AWS, Azure).
• Stakeholder Collaboration: Work closely with product managers, designers, and ML engineers to align technical delivery with business goals.

 Required Skills & Qualifications

• Programming Expertise: Strong proficiency in JavaScript/TypeScript and backend languages (Python, Java).
• Frontend Frameworks: Deep experience with Angular (v8+), React, and state management tools (NgRx, Redux, Zustand).
• Backend Technologies: Proven experience with Spring Boot, RESTful APIs, GraphQL, and microservices.
• Database Knowledge: Hands-on with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).
• GenAI Tools: Familiarity with LLM APIs, prompt engineering, and vector databases.
• Cloud & DevOps: Experience with AWS, Azure, or GCP; containerization (Docker, Kubernetes); CI/CD pipelines.
• Version Control: Proficient in Git and collaborative development workflows.
• Problem Solving: Strong analytical and debugging skills.

 Preferred Qualifications

• Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
• Understanding of RAG architecture and embeddings.
• Exposure to NLP, ML pipelines, or model fine-tuning.
• Familiarity with enterprise SDLC processes.
• Sensitivity to UI/UX for AI-assisted applications.

We are looking for a skilled Full Stack Developer with strong Python expertise and hands-on experience in Generative AI (GenAI) technologies. You will be part of a dynamic team building intelligent, scalable applications that leverage Large Language Models (LLMs) and modern web frameworks to transform enterprise workflows.

 Key Responsibilities

• Application Development: Build and maintain full-stack web applications integrating GenAI capabilities.
• GenAI Integration: Work with APIs such as OpenAI, Azure OpenAI, Hugging Face, and LangChain to embed LLM-driven features.
• Frontend Development: Develop responsive and user-friendly interfaces using React, Angular, or Vue.
• Backend Development: Build robust APIs and microservices using Python (FastAPI, Flask) or JavaScript (Node.js).
• Data Integration: Connect applications to SQL/NoSQL databases and vector stores like Pinecone, FAISS, or Weaviate.
• Prompt Engineering: Collaborate with AI engineers to design effective prompts and implement RAG (Retrieval-Augmented Generation) flows.
• Testing & Deployment: Implement CI/CD pipelines, write unit and integration tests, and deploy applications to cloud platforms (AWS, Azure).
• Team Collaboration: Work closely with product managers, designers, and ML engineers to deliver high-impact AI solutions.

 Required Skills & Qualifications

• Programming Languages: Strong proficiency in Python
• Frontend Frameworks: Experience with React, Angular (v8+), or Vue.js.
• Backend Frameworks: Hands-on with FastAPI, Flask, experience with RESTful APIs and microservices.
• GenAI Tools: Familiarity with LLM APIs (OpenAI, Azure OpenAI), LangChain, and vector databases.
• Databases: Experience with PostgreSQL, MongoDB, DynamoDB, and vector stores.
• Cloud & DevOps: Exposure to AWS, Azure, or GCP; containerization (Docker, Kubernetes); CI/CD tools.
• Version Control: Proficient in Git and collaborative development workflows.
• Problem Solving: Strong debugging and optimization skills.

 Preferred Qualifications

• Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
• Understanding of RAG architecture and embeddings.
• Exposure to NLP, ML pipelines, or model fine-tuning.
• Familiarity with enterprise SDLC processes.
• UI/UX sensitivity for building intuitive AI-powered interfaces.

The Digital Diversified Business Unit spans multiple industries and verticals, including retail, CPG, energy and infrastructure, and mobility. With a strategic focus on growth, the unit seeks to expand its footprint within telecommunications and automotive, while strengthening relationships with specific clients and pursuing similar industry opportunities.

We are looking for an experienced Business Development Manager to lead initiatives aimed at growing our client base and deepening our engagements with existing Retail Industry clients. This role requires a dynamic individual who can leverage industry expertise, foster relationships, and drive revenue growth in line with the organization’s strategic priorities.

Responsibilities: 

• The Retail Client Partner role will be a part of the Operations Consulting & Solutions team. They will manage relationships across an assigned set of Retail industry accounts and will be responsible for driving revenue growth and manage customer interactions related to service delivery.
• The Retail Client Partner will also work with other leaders within to provide the best solutions that align with client’s strategic priorities and drive high value growth within client organizations through data-led approach.
• Client relationship management and growth: manage assigned client relationships across retail and CPG.
• Grow revenue within the assigned portfolio to $30M+ by developing new relationships across multiple buying centers and increasing presence across client relationships.
• Client delivery assurance: collaborate with all delivery stakeholders involved to ensure fulfillment of all commitments to the client
• Account planning and governance: create the account plan including relationships required, opportunities to be pursued, price decisions, etc.
• Assistance with new logo acquisition – be able to bring new relationships and leverage existing relationships to help grow new logos

Required Qualifications:

• Bachelor’s degree minimum and preferably post-graduate degree or MBA
• At least 10 years of experience in the BPO and/or Consulting industry with recent experience working with a Retail client portfolio.
• Significant business development, program and delivery management experience to Retail clients.
• Track record as client partner in rapidly growing client relationships
• Track record of interacting and building relationships at CXO level
• Strong executive presence
• Hands-on experience with proposal creation, content development and leading proposal presentations
• Strong leadership, interpersonal, communication, and presentation skills
• Wide variety of BPO, technology and business consulting engagement experience
• Strong knowledge and understanding of AI / ML concepts, promise of Generative AI and other digital transformation solutions.
• Experience collaborating with large, multi-location teams in a matrix structure
• U.S. citizenship or permanent residency required.

We are seeking a seasoned Technical Lead with 9–10 years of hands-on experience in designing and delivering scalable enterprise solutions. The ideal candidate will be an expert in container technologies, real-time data streaming, DevOps practices, and performance optimization. You will play a key leadership role in architecting robust systems, guiding teams, and driving continuous improvement in both development and operational processes.

Key Responsibilities:

• Design scalable enterprise-grade solutions using OpenShift, Kafka, and container-based architectures.
• Lead container migrations from legacy systems to modern, cloud-native infrastructure.
• Ensure system performance, high availability, and security across enterprise platforms.
• Take ownership of end-to-end architecture and DevOps integration, including CI/CD pipeline automation.
• Drive compliance, governance, and best practices in deployment and release processes.
• Mentor development teams on performance tuning, observability, and sustainable coding strategies.
• Collaborate with product managers, QA, and infrastructure teams to ensure alignment and delivery excellence.
• Evaluate and implement tools for monitoring, alerting, and logging to improve operational visibility and reliability.
• Conduct technical reviews and performance audits to continuously enhance platform stability and speed.

Must-Have Skills:

• Proven experience designing scalable and secure solutions using OpenShift.
• Hands-on expertise in Apache Kafka for real-time data streaming and event-driven architectures.
• Strong background in containerization and container orchestration (Docker, Kubernetes, OpenShift).
• Experience leading container migrations, optimizing system performance, security, and availability.
• Solid knowledge of CI/CD automation, with tools like Jenkins, GitLab CI/CD.
• Expertise in DevOps practices, including infrastructure-as-code (IaC), continuous monitoring, and automated deployments.
• Strong mentoring skills and experience coaching teams on observability, tuning, and architectural best practices.

Good-to-Have Skills:

• Experience with cloud platforms (AWS) and Java.
• Knowledge of microservices and event-driven design patterns.
• Hands-on with monitoring tools Grafana, ELK Stack.
• Experience implementing security best practices.
• Working knowledge of Agile/Scrum methodologies.
• Certification in Kubernetes, OpenShift, or Cloud platforms is a plus.

We are seeking a Business Data Analyst with a strong background in large-scale data applications, data analysis, and transformation to support enterprise-level initiatives in the Property & Casualty (P&C) Insurance domain. The ideal candidate will bring hands-on expertise in SQL, data mapping, and business analysis, along with deep domain knowledge of policy and claims data. This role requires close collaboration with business stakeholders, SMEs, and technical teams to drive data accuracy, consistency, and value.

Key Responsibilities:

• Perform end-to-end data analysis, including data profiling, validation, and transformation for large-scale data integration and reporting projects.
• Develop source-to-target data mappings (STTM) and documentation based on business requirements.
• Collaborate with business users and stakeholders to gather, analyze, and translate functional requirements into technical specifications.
• Work with data engineers and developers to implement and validate data consolidation, standardization, and transformation logic.
• Optimize complex SQL queries for performance and accuracy in handling large datasets.
• Participate in data quality assessments and recommend data cleansing or enrichment strategies.
• Leverage domain knowledge of Property & Casualty Insurance—including policy administration and claims lifecycle—to ensure data alignment with business processes.
• Facilitate communication between business SMEs, data modelers, and technical teams for successful data delivery and adoption.

Required Skills & Experience:

• 5+ years of hands-on experience in data analysis, data mapping, and data transformation within enterprise data environments.
• Strong proficiency in SQL, including analytical functions, query optimization, and performance tuning.
• Proven experience developing source-to-target mapping (STTM) documents and understanding ETL/data flow processes.
• Exposure to data consolidation, standardization, and transformation across heterogeneous data sources.
• In-depth knowledge of the Property & Casualty Insurance domain,
• Exceptional communication and interpersonal skills—able to work effectively with technical teams, business stakeholders, and subject matter experts.
• Strong documentation skills with the ability to create clear and concise technical and business art

We are looking for a highly experienced Senior Data Engineer with a strong focus on Azure Data Services and DBT, complemented by expertise in Snowflake and Snowflake Cortex. The ideal candidate will lead the design and development of scalable data pipelines, ensure data quality and governance, and support AI-driven analytics using Snowflake Cortex and GenAI capabilities. This role is ideal for someone who thrives in a cloud-native, data-first environment and enjoys working across engineering and analytics teams. 

 Key Responsibilities 

Azure & DBT-Focused Data Engineering 

• Design, build, and optimize scalable data pipelines using Azure Data Factory, DBT, and Databricks. 
• Develop modular, testable DBT models for data transformation and analytics. 
• Implement data orchestration and workflow automation in Azure environments. 
• Ensure high performance, reliability, and scalability of data workflows. 

Snowflake & Cortex Integration 

• Build and maintain Snowflake-based data architectures and pipelines. 
• Leverage Snowflake Cortex functions for: 
• Anomaly Detection, Time-Series Forecasting, Classification 
• Text Completion, Embedding, Sentiment Analysis, Summarization 
• Integrate Snowflake Cortex with UI tools like Copilot, Universal Search, and Document AI. 

Data Quality & Governance 

• Implement robust data validation frameworks using: 
• Snowflake Cortex anomaly detection 
• Custom logic via Snowpark UDFs 
• Collaborate with analytics teams to deliver clean, trusted datasets. 
• Ensure compliance with data governance, privacy, and security standards. 

 Required Qualifications 

• 7+ years of experience in data engineering, with a strong focus on Azure Data Factory, DBT, and Databricks. 
• Deep expertise in Snowflake and Snowpark APIs. 
• Experience with Snowflake Cortex ML and LLM functions. 
• Strong proficiency in Python and SQL. 
• Familiarity with open-source LLMs and GenAI integration within Snowflake. 
• Excellent understanding of data modeling, transformation, and pipeline optimization. 
• Strong collaboration skills across engineering, analytics, and business teams. 

We are seeking an experienced Scrum Master with Property & Casualty (P&C) insurance expertise to lead Agile practices for our GenAI team. The ideal candidate will facilitate Agile ceremonies, remove impediments, and ensure seamless collaboration between business and technical teams. 
 
Key Responsibilities: 

• Act as a servant leader for Agile teams working on GenAI solutions in the P&C insurance domain. 
• Facilitate Scrum ceremonies (Daily Stand-ups, Sprint Planning, Reviews, and Retrospectives). 
• Work closely with Product Owners, Developers, and Business Stakeholders to ensure alignment. 
• Identify and remove roadblocks to optimize team performance. 
• Promote Agile best practices and continuous improvement. 
• Ensure compliance with industry standards and regulatory requirements in the insurance domain.   

Qualifications: 

• Bachelor’s degree in computer science, Information Technology, or a related field. 
• Certified Scrum Master (CSM) or equivalent Agile certification preferred. 
• 6+ years of experience as a Scrum Master in Property & Casualty insurance projects. 
• Proven track record of managing technical projects and leading Agile teams. 
• Strong understanding of Agile methodologies, DevOps practices, and release management. 
• Excellent leadership, communication, and interpersonal skills. 
• Ability to adapt to changing priorities and handle multiple projects simultaneously. 
• Experience with Agile tools such as JIRA, Confluence, or similar. 

Preferred Qualifications: 

• Experience in the Insurance Industry very strongly preferred. 
• Gen AI  experience preferred
• Advanced certifications such as PMI-ACP, SAFE, or equivalent. 
• Knowledge of DevOps, GitHub, Rally, non-prod and prod environments. 
• Hands-on experience with DevOps tools and practices. 

Key Responsibilities:

•  Lead and mentor a team of engineers in the design and development of foundational frameworks and infrastructure to support advanced analytics and GenAI solutions.
• Architect and implement scalable, reusable infrastructure components for data processing, integration, and enterprise-wide AI/ML initiatives.
• Define and drive integration strategies for both analytical applications and GenAI models, including Large Language Models (LLMs) and Agentic AI, into core enterprise systems and frameworks.
• Collaborate with platform, data, and ML teams to define data pipelines and infrastructure for model training, deployment, and monitoring, with a focus on both analytics and GenAI.
• Ensure solutions are technically robust, aligned with enterprise architecture, and meet scalability, performance, and reliability requirements.
• Actively participate in the design, development, and maintenance of high-performance applications using Java, Python, JavaScript, Scala, PySpark, Spark, and Snowflake.
• Work extensively with AWS services, including designing and deploying serverless or containerized solutions using ECS, Lambda, S3, Glue, and other cloud services.
• Develop and deploy microservices-based and event-driven architectures using modern frameworks to support modular and scalable application development.
• Integrate and work with GenAI frameworks and APIs such as OpenAI, Hugging Face, Google Vertex AI, or other enterprise-grade platforms.
• Establish and enforce coding standards, conduct peer code reviews, and ensure best practices for test automation and CI/CD workflows.
• Ensure security compliance through vulnerability detection, remediation, and implementation of OWASP best practices in the application lifecycle.
• Collaborate with Agile cross-functional teams, including Product Owners, QA, and DevOps, for sprint planning, delivery, and continuous improvement.

We are seeking a highly skilled Gen-AI Project Manager to lead and manage the execution of critical projects within the insurance domain. This role will be responsible for overseeing end-to-end project delivery, from initiation through completion, ensuring alignment with business objectives, timelines, and quality standards. The ideal candidate will have strong expertise in project management, insurance claims processes, and stakeholder engagement, along with the ability to drive cross-functional collaboration in a dynamic, fast-paced environment.

Key Responsibilities

Project Planning & Execution

• Lead the planning, execution, and delivery of projects related to insurance claims systems, tools, and processes.
• Define project scope, goals, deliverables, and timelines in collaboration with business and technical stakeholders.
• Develop detailed project plans, manage resources, budgets, and schedules, and ensure on-time delivery of milestones.

Stakeholder Engagement

• Act as the primary point of contact for business and technical stakeholders across the project lifecycle.
• Ensure clear and consistent communication on project status, risks, dependencies, and changes.
• Gather, document, and validate requirements from business units and ensure alignment with technical teams.

Risk & Issue Management

• Proactively identify and assess risks and issues impacting project outcomes.
• Define and implement mitigation strategies to address risks promptly.
• Escalate critical issues when necessary to ensure swift resolution.

Quality Assurance

• Ensure deliverables meet or exceed quality standards by collaborating closely with development, QA, and operations teams.
• Conduct reviews, inspections, and audits to verify compliance with defined processes and requirements.

Cross-Functional Collaboration

• Partner with engineering, operations, and product teams to align on project requirements and deliverables.
• Facilitate collaboration between business and technical teams to ensure successful outcomes.
• Coordinate with external vendors and partners where applicable.

Monitoring & Reporting

• Track and monitor progress against goals, schedules, and budgets.
• Provide timely status reports and updates to senior leadership and stakeholders.
• Conduct retrospectives and lessons-learned sessions to drive continuous improvement.

Qualifications

Experience

• 5+ years of experience in project management, preferably in the insurance or claims domain.
• Demonstrated success in managing projects related to claims processing, policy management, or other core insurance functions.
• Deep understanding of insurance claims workflows, including intake, processing, adjudication, and settlement.

Project Management Skills

• Strong knowledge of project management methodologies (Agile, Waterfall, or hybrid).
• Hands-on experience with project management tools (Jira, Microsoft Project, Trello, Rally, etc.).
• Excellent organizational, time management, and multitasking abilities.

Education

• Bachelor’s degree in business, Computer Science, Engineering, or a related discipline.

Certifications (Preferred, not mandatory)

• PMP, PRINCE2, or equivalent project management certification.
• Insurance industry certifications (AINS, CPCU) are a plus.

Key Attributes

• Exceptional communication, interpersonal, and stakeholder management skills.
• Strong analytical, problem-solving, and decision-making abilities.
• Ability to manage multiple priorities in a high-pressure, fast-paced environment.
• Results-driven, with a strong focus on delivering value and quality.

As part of the Data Management and Governance team, the Data Quality Analyst will:

• Conduct comprehensive data profiling on all source systems (e.g., Snowflake, Foundry, Excel) to identify data characteristics and anomalie
• Identify, analyze, and document patterns, inconsistencies, and rule violations within datasets.
• Work closely with development and data quality teams to define, refine, and validate data rules.
• Raise, track, and manage data issues that could impact application trust, scalability, or downstream processing.
• Provide continuous feedback loops to the development team during the development lifecycle, surfacing defects early.
• Collaborate with various Data Offices and Data Quality (DQ) teams to understand and apply existing business rules.
• Ensure the consistency and integrity of data quality practices.
• Contribute to long-term efforts in improving data quality and integrity across all systems.

Requirements for the Data Quality Analyst role include:

• Proven experience working with large datasets in platforms like Microsoft Excel, Snowflake, and Palantir Foundry.
• Strong analytical mindset and an exceptional attention to detail.
• Experience and proficiency in writing SQL and Python.
• The ability to "rip into a spreadsheet" to surface insights and discrepancies.
• Experience in data profiling or data quality analysis.
• Experience writing data quality rules.
• Comfortable working cross-functionally with developers, product leaders, and business users.

Preferred Traits:

• Insurance Industry knowledge.
• Experience working as part of agile teams.
• Curious and persistent in finding the "why" behind data inconsistencies.
• A self-starter who enjoys solving data puzzles and embraces new challenges
• Capable of ramping up quickly on new systems and business domains
•  Interested in making a strategic, long-term impact on the company's data assets.

We are looking for a highly detail-oriented and proactive Fraud Operations Specialist to play a critical role in safeguarding our clients. In this role, the resource will be responsible for investigating suspicious activity, analyzing fraud trends, and implementing strategies to mitigate risk.

Key Responsibilities

• With limited direction from a manager, work independently to monitor & research customer payment records, utilizing various tools and work queues to investigate and validate transactions.
• Takes initiative to develop solutions to complex problems as they relate to ticket fraud prevention, including, but not limited to, gathering personal information from customers to help identify discrepancies and/or eliminate suspicion.
• Make recommendations to streamline or enhance existing policies/procedures, stay ahead of continuously evolving fraud practices, and further protect guest data.
• Adept at navigating through various scenarios and being solution-oriented during conflict resolution. Willing to apply excellent customer service skills while having difficult conversations with guests, cardholders & Mileage plan (MP) members.
• Ability to thrive in a team environment, working closely with peers to analyze fraud trends, explore innovative ways to reduce risk, and make recommendations on rules adjustment with fraud tools.
• Collaborates with counterparts including banks, merchants, peers, and other internal teams to detect fraud and eliminate risks within the organization.

Required Qualifications & Skills

• 2 years of experience in fraud prevention, ecomm fraud prevention, revenue protection, airline industry experience or related area.
• Bachelor’s degree with Business Administration, Criminal Justice, or related field, or an additional two years of training/experience required in lieu of this degree.
• Experience working disputes, credits, and pre-arbitrations with financial institutions.

Preferred Qualifications

• Experience in Airline or Travel Vertical.
• Advanced knowledge of credit card chargeback processes and procedures.
• Advanced awareness of current fraud trends in ecommerce environment.

We are seeking Customer Service Representatives with Treasury Services department experience to join our team working from home on a temporary basis of up to 6 months. Contact Center for Treasury Services is responsible for providing comprehensive client service and support to clients of a global custodian firm.

The agent must possess strong communication skills, financial acumen, and a commitment to delivering exceptional service to high-net-worth individuals and families. 
The team is a client-service-driven organization whose talented and engaged team is dedicated to providing the most competitive services with the highest standards of ethics, and client service. 

Responsibilities

Customer Service Representative - Treasury Services, responsibilities:
•    Respond to incoming calls from brokers, clients, merchants, and financial institutions regarding checking, debit cards, ACH, and bill payments.
•    Ensure adherence to established call procedures and customer service standards.
•    Provide accurate information and solutions to customer inquiries in a professional manner. Ensure high levels of accuracy and attention to detail in every customer interaction.
•    Document all client interactions, inquiries, and recommendations accurately and maintain comprehensive records in accordance with regulatory requirements and company policies.
•    Work with supervision on standard tasks and handle special tasks with general guidance.
•    Maintain a high level of accuracy when addressing customer concerns.
•    Participate in training sessions and professional development activities to enhance knowledge and skills relevant to financial products and client service.

Qualifications

To be successful in this role, we’re seeking the following:
•    Customer Service Skills: professional telephone etiquette and ability to communicate effectively with clients and provide high-quality customer service. Strong verbal and written communication skills, with the ability to convey complex information clearly and professionally.
•    Willingness and empathy to fully understand complexity of clients’ concerns and resolve issues or provide the best alternative solutions. Problem-solving skills and attention to detail in resolving client issues and friction points
•    Familiarity with banking products, payment systems, and financial transactions (checking, debit cards, ACH, bill payments).
•    Ability to follow structured processes and maintain high accuracy levels.
•    Ability to work under supervision and follow established guidelines.
•    Strong team player mindset to excel not only individually but as a team through strong collaboration.
•    1-2 years’ experience in financial services or call center operations.
•    Experience in Microsoft Office including MS Excel, MS Word, and relevant digital collaboration tools (eg: MS Teams)

Senior Test Automation Engineer focused on developing and maintaining automated testing solutions for an Excel-based add-in used by the FDR squad. The ideal candidate will bring deep expertise in UI automation, particularly with Unified Functional Testing (UFT) and VBScript, to ensure robust and scalable test coverage throughout the software development lifecycle. Candidate will be responsible for analyzing business and technical requirements, creating comprehensive test plans and automation scripts, executing tests, reporting defects, and delivering high-quality documentation. Collaboration with development teams and mentoring junior testers will be crucial for the role. This position is critical to improving the overall quality, efficiency, and reliability of our testing processes and product delivery.

Key Responsibilities

• Design, develop, and maintain automated UI test scripts using UFT (Unified Functional Testing).
• Customize UFT frameworks to support modular and data-driven test execution for Excel-based add-ins.
• Use UFT to simulate user interactions and validate complex Excel UI workflows, formulas, and ribbon commands.
• Configure and maintain UFT Object Repositories for robust and reusable test development.
• Analyze business and technical requirements for Excel-based add-in and translate them into test scenarios.
• Write reusable, maintainable, and scalable code in VBScript and descriptive programming.
• Write SQL queries for test data identification and validation.
• Integrate UFT-based test suites with CI/CD pipelines using tools like Bamboo and GitHub Actions.
• Execute automated test runs in different environments and validate results against business expectations.
• Log, track, and retest defects using tools such as JIRA, collaborating with development teams for resolution.
• Create and maintain comprehensive test documentation including test plans, test cases, and test summary reports.
• Conduct root cause analysis of failures and enhance test scripts accordingly.
• Continuously improve the UFT test automation framework to enhance reliability, maintainability, and performance.
• Recommend and apply automation best practices across testing lifecycle stages.
• Participate in daily and weekly status meetings and submit bi-weekly progress reports.
• Mentor and support junior QA team members on UFT and UI test automation best practices.

 Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field with 5+ years of experience in UI automation with a focus on UFT in enterprise environments.
• Strong command of UFT test development, including expert use of Object Repository, Actions, Checkpoints, and Descriptive Programming.
• Proficiency in designing and maintaining modular, data-driven, and keyword-driven frameworks in UFT.
• Demonstrated experience in debugging, troubleshooting, and optimizing UFT test scripts.
• Hands-on scripting experience with VBScript;
• In-depth understanding of Excel object models and Office automation features.
• Familiarity with CI/CD tools such as Bamboo, Bitbucket, or GitHub Actions.
• Working knowledge of SQL for test data preparation and validation.
• Strong problem-solving skills with the ability to identify root causes and recommend solutions.
• Excellent verbal and written communication skills, including the ability to document and present test results.
• Ability to work independently as well as collaboratively in a fast-paced team environment.
• Experience mentoring junior QA engineers or leading small automation teams is preferred.

Senior API Test Automation Engineer to lead test automation efforts for REST APIs and Kafka-based data ingestion pipelines. The ideal candidate will possess deep expertise in developing automated framework and tests for modern backend systems and ensuring data integrity across integrated platforms. You will be responsible for designing and maintaining scalable automation frameworks using tools such as Rest Assured, REQUESTS, Postman, and JMeter, as well as scripting in Python or Java. In addition to backend and API validation, this role involves working with MongoDB, Oracle, and data lakes to perform post-ingestion data checks. The position requires strong collaboration with cross-functional teams, active participation in CI/CD processes, and a commitment to delivering reliable, high-quality test automation solutions aligned with project milestones. Strong problem-solving skills, test reporting, and communication abilities are critical to success in this role.

Key Responsibilities

• Design, develop, and maintain automated framework and tests for RESTful APIs using Java -Rest Assured or Python-Requests, Postman, and other tools.
• Build reusable and modular automation framework tailored API validations and data comparison against DBs – Mongo and Oracle.
• Develop test scenarios to validate functional, regression, performance, and security aspects of APIs.
• Implement edge case and negative testing strategies to ensure API robustness.
• Automate validation of Kafka data ingestion pipelines, verifying data flow through Kafka topics.
• Monitor and verify Kafka message delivery, consumption, and processing accuracy.
• Validate and verify backend data in MongoDB, Oracle, and data lake environments programmatically.
• Write complex SQL and NoSQL queries to confirm business logic and data transformation accuracy.
• Ensure data consistency and completeness across systems after ingestion and processing.
• Integrate automation frameworks into CI/CD pipelines using tools like Bamboo and GitHub Actions.
• Create and maintain test documentation, including test plans, test cases, and result reports.
• Work closely with developers, QA, DevOps, and product teams to align on testing strategy.
• Track and report defects; provide root cause analysis and test metrics to stakeholders.
• Support knowledge transfer through documentation and collaboration.
• Provide regular status updates during daily stand-ups, weekly syncs, and bi-weekly reports.

 Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline with 5+ years of experience in API test automation with a strong focus on backend and data pipeline validation.
• Hands-on experience with Postman, Requests, Rest Assured, JMeter, or similar tools.
• Strong programming/scripting skills in Python and/or Java.
• Experience with Apache Kafka, including message validation and monitoring.
• Solid understanding of data storage systems like MongoDB, Oracle, and data lakes.
• Experience writing complex queries (SQL and NOSQL) for data validation and transformation testing.
• Proficiency in integrating automation with CI/CD tools like Bamboo, GitHub, or Bitbucket.
• Familiarity with backend testing best practices including mock services and test data strategy.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and lead testing efforts across distributed teams.

We are looking for a highly experienced Technical Lead with a strong Full stack Java development background and over 12 years of experience. The ideal candidate will have deep expertise in designing and delivering scalable enterprise-grade solutions, hands-on Java development (both backend and frontend), containerization, real-time data streaming, and DevOps practices. You will be responsible for architecting robust systems, leading and mentoring teams, driving development best practices, and ensuring seamless integration across the stack from code to cloud deployment.

Key Responsibilities:

• Design and develop scalable enterprise solutions leveraging Java (Spring Boot), frontend frameworks (React, Angular), and microservices architecture.
• Lead container migrations from legacy to cloud-native infrastructure using Open Shift, Docker, and Kubernetes.
• Implement and optimize real-time data streaming solutions using Apache Kafka.
• Take ownership of end-to-end architecture, CI/CD pipeline automation, and DevOps integration using tools like Jenkins and GitLab CI/CD.
• Ensure system performance, security, high availability, and compliance across platforms.
• Collaborate with cross-functional teams including product managers, QA, infrastructure, and operations to deliver high-quality solutions.
• Mentor and coach development teams on performance tuning, coding standards, observability, and sustainable engineering practices.
• Develop and maintain RESTful APIs and integrate backend systems with frontend applications.
• Implement monitoring, logging, and alerting strategies using tools like Grafana and ELK Stack to improve operational visibility and reliability.
• Participate in architectural reviews, technical audits, and continuous improvement initiatives.

 Must-Have Skills:

• 12+ years of professional experience in Full stack Java development and technical leadership roles.
• Strong expertise in Java 8+ and Spring Framework (Spring Boot, Spring MVC, Spring Security).
• Proficient with frontend technologies like React, Angular, or Vue.js.
• Experience designing and implementing RESTful APIs and microservices-based systems.
• Proven experience with container technologies and orchestration: Docker, Kubernetes, Open Shift.
• Hands-on expertise with Apache Kafka for event-driven, real-time data streaming architectures.
• Solid knowledge of CI/CD pipelines and automation tools (Jenkins, GitLab CI/CD).
• Strong DevOps skills including infrastructure-as-code, continuous monitoring, and automated deployments.
• Familiarity with both relational (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra).
• Excellent mentoring and team leadership capabilities.

 Good-to-Have Skills:

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of security best practices and compliance requirements.
• Familiarity with Agile/Scrum methodologies and collaborative team environments.
• Certifications in Kubernetes, Open Shift, or cloud platforms.
• Experience with monitoring and logging tools like Grafana and ELK Stack.

We are seeking a senior engagement lead / client partner to join our Investment Management practice. In this role, you will work directly with C-suite and senior executives at leading investment managers, spearheading high-impact engagements, shaping transformation agendas, and establishing yourself as a trusted strategic advisor.

This is a partner-track leadership opportunity with direct visibility to the firm’s senior leadership team.

Key Responsibilities

• Strategic Advisory: Act as a thought partner to senior executives and CXOs; build trusted relationships and influence strategic decision-making.
• Solution Leadership: Shape and drive innovative strategies in data modernization, advanced analytics, and AI that deliver measurable business outcomes.
• Client Engagement: Cultivate long-term, trust-based relationships with senior stakeholders; proactively identify emerging needs, opportunities, and original ideas.
• Practice Growth: Contribute to firm-wide leadership by expanding the asset management vertical with differentiated and scalable offerings.
• Leadership: Represent the firm’s senior leadership team in client interactions; collaborate across delivery, consulting, and managed services.
• Team & Capability Development: Mentor, recruit, and develop project leads and consultants; contribute to culture-building, knowledge development, and internal initiatives.

Key Qualifications

• 12+ years of relevant experience in the investment management industry, with demonstrated success in winning business and growing client accounts.
• Recognized executive presence, deep domain expertise, and the ability to navigate and influence complex client organizations.
• Proven track record of designing and delivering large-scale data, analytics, and AI-driven transformation initiatives.
• Strong relationship-building and advisory skills; ability to engage at the highest levels and operate effectively in politically complex environments.
• Entrepreneurial mindset, proactive, visionary, and capable of shaping new opportunities.