Platform Engineer

• Design, deploy, and optimize Databricks workspaces and clusters on AWS to support data science and modeling workloads.
• Manage Fivetran connectors and dbt projects for end-to-end data ingestion, transformation, and orchestration across Databricks, S3, and Snowflake.
• Automate infrastructure provisioning and configuration using Terraform integrated with GitHub Actions.
• Architect and implement high availability (HA) and disaster recovery (DR) strategies, including cross-region replication and failover.
• Implement job orchestration, cluster policies, autoscaling, and CI/CD workflows for notebooks, models, and releases.
• Establish monitoring and alerting for cost, usage, pipeline health, data freshness, and compliance using tools such as Datadog.
• Collaborate with platform segments and security teams to enforce governance, tagging, rightsizing, SLAs, and audit readiness.
• Develop and maintain Unity Catalog for governance, lineage, and secure data sharing across platforms.
• Build and maintain MLflow integrations for model lifecycle management, experimentation tracking, and deployment.

Manager – Databricks Platform Engineer

Project Manager

• Conduct thorough business assessment to analyze and understand the current state of systems and processes.
• Identify process transformation opportunities, design, and propose solutions that meet business requirements and improve Cx, efficiencies, effectiveness, Revenue etc.
• Develop and manage project plans, including timelines, resource allocation, and milestones, while ensuring projects are delivered on time, within scope, and within budget

Artificial Intelligence

• Design and deploy intelligent automation and agentic AI solutions that save time, slash errors, and WOW stakeholders.
• Collaborate on AI strategies, ensuring our clients’ critical needs are met.
• Blend tech prowess with domain insights — think big, fail fast, innovate.
• Evangelize best practices in this thrilling fusion of AI and business.

Agentic – GEN AI

• 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

Data Scientist

• Lead the development and optimization of complex data models
• Oversee data science project management and execution
• Mentor junior data scientists
• Ensure data solutions align with organizational goals
• Provide strategic guidance on data science technologies.

Senior Data Scientist

Manager

• Support the administration of global equity compensation programs including:
• - Stock Options
• - Restricted Stock Units (RSUs)
• - Employee Stock Purchase Plans (ESPP)
• Processing equity grants, vesting events, ESPP enrollments & purchases
• Maintaining accurate employee equity records in stock plan systems
• Monitoring transactions and reconciling data with HRIS and payroll systems
• Supporting employee inquiries regarding ESPP, equity awards and transactions
• Ensuring compliance with applicable regulatory and tax requirements
• Coordinating equity data with various business partners, i.e. payroll, finance, HR
• Assisting with reconciliation and reporting in Fidelity equity platform
• Maintaining documentation of equity plan procedures and policies
• Providing equity samplings for audit and SOX controls
• Preparing equity reports and analytics for internal stakeholders
• Identifying process improvements and system enhancements
• Assisting with equity system maintenance and data audits
• Supporting annual grant cycles and Employee Stock Purchase Plan
• Partnering with internal teams to ensure smooth operation of equity programs
• Responding to employee inquiries related to equity awards and ESPP
• Assisting with employee communications, webinars, and training materials
• Supporting equity education sessions when needed

Manager – Corporate Rewards

• 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

• Develop and execute digital transformation roadmaps tailored for the F&A vertical/Assigned client/Portfolio, aligning with business objectives and client needs.
• Champion automation initiatives leveraging RPA (Robotic Process Automation), AI/ML, Analytics, and other emerging technologies to optimize F&A processes.
• Collaborate with clients, internal teams, and Developers to define requirements, ensure alignment, and manage expectations throughout the project lifecycle.
• Oversee end-to-end delivery of digital transformation projects ensuring quality, timelines, and budget adherence.
• Drive change management efforts to ensure smooth adoption of new technologies and processes by client teams.
• Define KPIs, monitor performance, and provide insights to stakeholders for continuous improvement.

Project Manager – Digital Transformation, DIG F&A

• 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

• 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).