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.

• 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 anomalies.
• 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.