EXL

Senior Engagement Manager, Product Analytics

EXL

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaUnited States

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About the role

  • Lead the design, implementation, and optimization of product analytics strategies.
  • 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.

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.
Benefits
  • Health insurance
  • Flexible work arrangements
  • Professional development
  • Paid time off
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythonRproduct instrumentationevent trackingdata engineeringA/B testingmultivariate testingforecasting modelsanalytics frameworks
Soft Skills
leadershipproblem-solvingpeople managementcommunicationpresentationstory-building