Sr. Engagement Manager, Product Analytics

EXL•San Francisco, CA

About The Position

EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world’s leading corporations. EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail among others. Our organization is headquartered in New York and comprises a workforce exceeding 55,000 employees, operating from more than 50 offices across six continents. For information, visit www.exlservice.com . Responsibilities Role and Responsibilities: As the Product Analytics Engagement Manager, you will lead the design, implementation, and optimization of product analytics strategies, focusing on instrumentation, experimentation, and actionable insights across digital products. Acting in a consulting capacity, you will partner with senior stakeholders to translate business goals into measurable outcomes, build reliable data foundations, and scale analytics solutions that drive product growth and user engagement.

Requirements

7+ years of experience in product analytics, consulting, solution design, and client management.
Advanced proficiency in analytics tools and programming languages (SQL, Python, R, or similar).
Deep expertise in product instrumentation, event tracking, and data engineering for digital products.
Experience designing and analyzing experiments (A/B testing, multivariate, incrementality).
Strong understanding of digital product metrics (activation, engagement, retention, feature adoption).
Demonstrable leadership ability, superior problem-solving and people management skills.
Excellent communication, presentation, and story-building skills in a consulting setup.
Master’s degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas; candidates with BA/BS degrees in the same fields from top-tier academic institutions are also welcome to apply.

Responsibilities

Serve as the primary analytics partner for product teams, engaging with senior stakeholders across Product, Engineering, and Data.
Design and optimize product analytics frameworks (funnels, cohorts, retention, feature adoption, content tests) to drive clear business outcomes.
Define and implement tracking plans, event taxonomies, and oversee instrumentation for accurate and scalable data collection.
Ensure data quality, governance, and reliability across analytics pipelines and reporting systems.
Establish and manage test-and-learn frameworks for product features (A/B, incrementality, lift) with rigorous measurement and analysis.
Build and refine forecasting models (time-series, causal) for product usage, engagement, and growth metrics.
Create executive-ready dashboards and KPIs for product performance, health, and growth levers; recommend data-driven actions.
Partner with engineering and data teams to operationalize analytics solutions (segmentation, triggers, journeys, personalization).
Lead analytical projects with on/offshore teams; ensure quality, timeliness, and smooth productionization of solutions.
Stay abreast of industry trends in product analytics, instrumentation, and experimentation; recommend innovative approaches.