Data Analytics AI Lead

Company Overview and Culture

EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 40,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com.

For the past 20 years, EXL has worked as a strategic partner and won awards in its approach to helping its clients solve business challenges such as digital transformation, improving customer experience, streamlining business operations, taking products to market faster, improving corporate finance, building models to become compliant more quickly with new regulations, turning volumes of data into business opportunities, creating new channels for growth and better adapting to change. The business operates within four business units: Insurance, Health, Analytics, and Emerging businesses.

Job Description:

Job Summary

This role will serve as a trusted advisor to business stakeholders, translating complex business challenges into data-driven solutions that deliver measurable value.

The ideal candidate will possess a strong blend of business acumen, analytics expertise, AI knowledge, and leadership capabilities. They will oversee cross-functional projects, manage stakeholder relationships, and guide teams in the design, implementation, and optimization of analytics and AI-driven solutions.

Responsibilities

Analytics Strategy & Consulting

Partner with business leaders to identify opportunities where data, analytics, and AI can improve decision-making and operational efficiency.

Develop analytics roadmaps aligned with business objectives and strategic priorities.

Provide thought leadership on emerging trends in analytics, machine learning, generative AI, and data-driven transformation.

Translate business requirements into actionable analytics and AI use cases.

Data Analytics & Insights

Lead the development of dashboards, reports, and KPI frameworks to monitor business performance.

Oversee exploratory data analysis and advanced analytics initiatives to uncover actionable insights.

Ensure data quality, governance, and consistency across reporting environments.

Drive adoption of self-service analytics capabilities.

Artificial Intelligence & Machine Learning

Identify, evaluate, and implement AI, machine learning, and generative AI / large language model (LLM) solutions to address business challenges.

Lead proof-of-concepts and pilot programs for predictive analytics, automation, NLP, recommendation systems, and generative AI applications, including LLM-powered chatbots, retrieval-augmented generation (RAG), and content generation.

Collaborate with technical teams to operationalize AI, machine learning, and LLM models, including prompt engineering, fine-tuning, and ongoing performance monitoring.

Establish best practices for responsible AI and generative AI usage, including governance, data privacy, model risk, and compliance.

Stakeholder Management

Serve as a trusted advisor to senior business leaders and executives.

Present complex analytical findings and AI recommendations in a clear, business-focused manner.

Facilitate workshops and strategy sessions to align stakeholders on priorities and solutions.

Influence decision-making through data-driven insights.

Team Leadership

Lead and mentor analytics professionals, data scientists, and consultants.

Manage project delivery timelines, resource allocation, and stakeholder expectations.

Foster a culture of innovation, continuous learning, and collaboration.

Support recruitment, training, and development of team members.

Required Qualifications

5+ years in data analytics, business intelligence, data science, AI consulting, or related fields.

Strong hands-on experience with AWS (or a comparable cloud platform such as Azure or Google Cloud).

Strong SQL skills and solid Pyth…