Artificial Intelligence

• Lead and oversee large-scale Generative AI projects from conception to deployment
• Develop and implement AI strategies aligned with business objectives
• Collaborate with cross-functional teams including technology, data science, and business units
• Design and architect scalable Generative AI solutions
• Mentor and guide teams in best practices for AI development and deployment
• Ensure adherence to software engineering principles and Agile methodologies
• Stay abreast of emerging trends and technologies in Generative AI

Assistant Vice President – Artificial Intelligence

Sales

• Define and execute EXL’s partner strategy across hyperscalers and data platforms.
• Position EXL as a strategic Data & AI transformation partner within hyperscaler ecosystems
• Drive alignment with partner industry priorities, funding programs, and co-sell motions
• Lead co-build initiatives to develop differentiated solutions across: Data engineering, Advanced analytics & decisioning, AI / GenAI-led transformation
• Create industry-specific, use-case-led offerings (e.g., risk, operations, CX, finance) leveraging EXL IP + partner platforms
• Accelerate solution industrialization and marketplace readiness
• Own partner-sourced, partner-influenced, and hyperscaler marketplace revenue targets
• Embed co-sell into EXL’s core GTM, including joint account planning and pipeline governance
• Drive large, platform-led transformation deals anchored in data and AI
• Activate partners to drive new logo acquisition and expansion into priority industries and geographies
• Orchestrate joint GTM campaigns, digital demand programs, and CXO connects
• Leverage partner ecosystems to access new buying centers (CDO, CAO, CIO, AI leaders)
• Design EXL’s Data & AI partner framework (segmentation, tiering, incentives, joint KPIs)
• Establish data-driven governance tracking pipeline, influence, certifications, and ROI
• Build deep partner-aligned capabilities (certifications, solution specializations, joint assets)
• Embed partner strategy into Industry Units, Sales, Solutions, and Marketing cadences
• Drive a partner-first, platform-led selling mindset across EXL
• Influence investment decisions toward high-impact ecosystem opportunities
• Architect and scale ecosystem-led growth, positioning partnerships as a core revenue engine
• Drive partner-sourced, influenced, and marketplace revenue with strong commercial ownership
• Deep expertise in hyperscaler and data platform ecosystems, including co-sell and funding models
• Strong Data, Analytics & AI fluency, translating complex solutions into CXO-level business outcomes
• Lead co-innovation and solution development, building differentiated, industry-led offerings
• Influence across a matrixed organization, embedding partner-led GTM into core sales motions
• Build and lead high-performing alliances teams with strong execution rigor and accountability
• Operate with data-driven governance and transformation mindset, driving scalable, measurable impact
• Strong executive presence with the ability to engage and influence
• Skilled at representing the organization in strategic forums, partner councils, and executive reviews

VP – Partner Sales, Development

Project Manager

• Develop and validate data hypotheses across various domains, including marketing, finance, and data product analytics.
• Conduct external research and maintain regular communication with client teams to align on project goals, expectations, and progress.
• Oversee project task management, including communication, preparing presentation decks, coordinating team efforts, ensuring timely delivery of outputs, and gathering client feedback on problem structuring.
• Effectively manage the feedback loop with offshore resources, ensuring timely and efficient collaboration.
• Define project scope, deliverables, and dependencies, working closely with other project managers to ensure end-to-end project delivery.
• Utilize advanced data analysis/engineering tools and software, such as SQL, Azure services like Azure Databricks, Blob Storage, Azure SQL, Azure Data Factory, Salesforce Marketing Cloud, Salesforce Data Cloud, Salesforce Mulesoft, Python, Microsoft Word, Microsoft Excel, and Microsoft Power Point to conduct detailed data analysis, data transformation, and guide team in performing related tasks.
• Manage large-scale enterprise data migration projects, overseeing both on-site and cloud-based migrations to ensure smooth transitions.
• Lead infrastructure and application upgrade initiatives, identifying and addressing performance bottlenecks to improve operational efficiency.
• Develop and implement business continuity and disaster recovery strategies to safeguard operational excellence and minimize disruptions.
• Monitor and report on team capacity, effort, and utilization using project management tools like JIRA and Azure DevOps to ensure optimal resource allocation.
• Apply EXL analytics methodologies and licensed software to perform data extraction, variable reduction, model development, and validation to drive data-driven insights and business solutions.
• Lead and collaborate with both offshore and onshore teams to ensure successful project delivery while maintaining alignment with client objectives.
• Contribute to firm development by assisting in training, staffing, recruitment, and business development activities.
• Deliver clear, insightful data analytics presentations to clients and senior executives, ensuring effective communication of key findings and strategic recommendations.

Project Manager – Analytics, Engineering

• Owns end-to-end change management for Salesforce releases and process changes (awareness → adoption → reinforcement).
• Leads enablement/training programs (cohorts for basic–advanced users) and builds on-demand learning assets (cheat sheets, guides, videos, micro-learning).
• Spends ~50%–70% of time directly with users via trainings, surveys, and feedback loops to stay close to user needs.
• Establishes feedback and continuous improvement loops, translating user input into actionable items for BAs/product teams and supporting PoCs.
• Owns adoption measurement/KPIs and ROI tracking, including dashboards and executive summaries (usage, training effectiveness, satisfaction, query reduction).
• Drives user query reduction through proactive training, documentation, simplification, and root-cause-based fixes (vs reactive support).
• Creates and maintains SOPs and a centralized knowledge repository to enable self-service.
• Oversees trouble ticket governance and RCA, ensuring proper triage and prevention of repeat issues in partnership with support/admin/BA/PO teams.

Manager – Salesforce Change Management, Enablement

Administration

• Owns Level‑2 Salesforce support, ensuring platform stability, reliability, and user adoption.
• Manages incidents/defects/production issues end-to-end: ticket triage, prioritization to SLAs (e.g., Salesforce requests), troubleshooting, root-cause analysis, coordination with admins/devs, testing and post-deployment validation.
• Supports platform monitoring and release readiness: tracking trends, dashboards, KPIs, and proactively reducing risk through improvements.
• Drives user enablement: onboarding, hands-on guidance, training sessions, and maintaining documentation (SOPs, guides, FAQs, etc.).
• Ensures governance, security, and compliance: aligns work to change management; applies Salesforce security concepts (profiles, roles, permission sets, OWD); supports audits/access reviews.

Assistant Manager – Salesforce Administration

Manager

• Come build Optimization tools for Amazon Supply Chain.
• Our Research team builds decision support tools for supply chain processes across multiple countries.
• Develop our labor optimization models using Mixed Integer Programming, Linear Programming or Heuristic search.
• Work closely with our program partners to define business requirements, build data pipeline, write optimization code and deep dive on solution quality.

Assistant Manager

Business Intelligence Developer

• Support the migration of enterprise supply chain and finance reports from MicroStrategy to Metabase
• Rebuild and optimize BI reports
• Validate data accuracy
• Partner closely with supply chain, finance, and data engineering teams to ensure seamless business continuity and improved analytics performance.
• Translate complex business requirements into scalable, high-quality dashboards.

Analytics & BI Consultant – Metabase

Actuary

• Doing independent research, analyze, and present data as assigned
• Expected to work in close collaboration with the EXL team and clients on general insurance actuarial projects for US markets
• Manage rate reviews, filings with DOIs and DOI complaints support moderate to complex product initiatives
• Prepare detailed documentation for rate review, and state filing reports and preparing presentations
• Assist in analyzing, identifying and tracking new market trends, including underwriting and rate actions and proposing what actions to take
• Develop and use collaborative relationship to facilitate the accomplishment of working goals
• Facilitate, while working with other departments, in creation of product strategy, countrywide underwriting revisions and countrywide requirement updates
• Assist in audit functions as needed
• Work with Predictive Modeling on finding support and determining new model selections

Actuarial Analyst

Client Partner

• Serve as the strategic advisor and trusted partner to senior executives (CIO, CFO, COO, CRO) at top U.S. banks.
• Drive account growth, identify white-space opportunities, and lead multi-tower solution conversations across AI, analytics, data, and operations.
• Lead business transformation discussions, translating banking challenges into data-driven, tech-enabled solutions.
• Orchestrate cross-functional teams including solution architects, domain experts, delivery leads, and innovation teams to deliver high-impact outcomes.
• Maintain deep understanding of evolving banking trends—digital banking, FedNow, GenAI, operational risk, ESG, and compliance—and proactively shape client strategies.
• Champion CXO-level engagement, design roadmaps, and support thought leadership initiatives within the Financial Services vertical.

VP Client Partner – West Coast

• Provide end-to-end support for model-based rate filings under the guidance of pricing and modeling leads.
• Produce filing-ready exhibits derived from actuarial and predictive model outputs.
• Maintain and execute R scripts to automate transformation of model outputs into regulator-facing documentation.
• Draft and refine responses to regulatory objections in collaboration with modelers and pricing leads.
• Coordinate internal reviews and obtain approvals for filing documents before submission.
• Ensure all filing artifacts are accurate, timely, and aligned with regulatory requirements.
• Support the filing lifecycle from initial documentation to final regulator approval.

Decision Analytics – Actuarial Analyst

Operations

• Recognize and respect cultural diversity.
• Adapt communication to an individual’s ability to understand.
• Use medical terminology appropriately.
• Respond to communications received within a reasonable time frame.
• Project a professional manner and image.
• Adhere to ethical principles.
• Demonstrate initiative and responsibility.
• Work as a team member.
• Efficient Time Management.
• Prioritize and perform multiple tasks.
• Adapt to change, including new hours of operation and methodology.
• Attend functional team meetings and mandatory in-service education.
• Maintain proper observation and adherence to company policies and procedures.

Senior Executive – Operations

• Serve as primary support for the Salesforce.com administrators and the directors of Sales Operations
• Administer and maintain the Company internal platform for marketing automation and lead management

Lead Assistant Manager – Sales Operations

• Lead the AI/ML development process
• Design algorithms
• Mentor engineers
• Deploy AI solutions

AI & ML Development Lead

Product Manager

• Collaborate with stakeholders (Domain Lead(Ops, IT, Data leads)) to understand the business needs and shape the vision and roadmap for data-driven initiatives to alignment with strategic priorities.
• Contributes to the development of the program vision. Communicates product and portfolio vision to their team.
• Work with data scientists, engineers, and designers to ensure that products get built efficiently, meet user needs, and provide actionable insights.
• Analyze data sources, data technologies and vendors providing data services to leverage in the data product roadmap development; Create necessary ER diagrams, data models, PRD/BRD to convey requirements
• Accountable for developing and achieving product level KPIs. Manages product(s) (data products) with a moderate degree of strategy, scope, and complexity.
• Ensuring data accuracy, consistency, and security by establishing data governance frameworks, defining data quality standards, and implement data management best practices to maintain high data integrity.
• Collaborates with technology and business leadership to align system/application integrations inline with business goals, priorities. Resolves open issues/questions quickly and efficiently.
• Owns and maintains the product backlog and is accountable for its contents and prioritization. Accountable for clear, actionable user stories.
• Sets priorities and actively participates in squad/team quarterly planning. Collaborates with more senior Product Owners to set priorities for program quarterly planning.
• Sets expectations with stakeholders for delivery of new capabilities, features, and functionalities. Participates in team demos, retrospectives, and all other ceremonies.
• Works daily with the agile working group, clarifying business requirements, removing roadblocks, constantly communicating, and supporting alignment around product strategy.
• Monitors and maintains the product health, supporting long-term product viability and efficiency, and balancing long and short term and costs with desired outcomes.
• Analyzes and reports on feasibility, cost of delay ramifications, economies, or other aspects of planned or potential changes to the product.
• Understands regulatory, compliance, and other industry constraints on the product and prioritizes accordingly. Negotiates with internal and external teams to ensure priorities are aligned across squads/teams both within and outside the portfolio.

Product Owner

Data Scientist

• Build, test, and optimize applications powered by Large Language Models (LLMs), including proprietary and open‑source models.
• Perform API integrations with proprietary models (e.g., OpenAI, Anthropic, Gemini, Azure OpenAI, etc.).
• Execute fine‑tuning, model adaptation, and evaluation of open‑source models (Llama, Mistral, Falcon, etc.).
• Develop chatbots, agents, and RAG‑based pipelines using LangChain, LangGraph, and asynchronous architectures.
• Implement prompt engineering, prompt optimization, and design of efficient LLM workflows.
• Apply NLP techniques such as text classification, summarization, entity extraction, embeddings, and vector search.
• Utilize Redis for caching, rate limiting, session storage, and vector similarity search (Redis Vector).