Data Analytics Manager (POD SPOC)

EXL is considered the Special Investigation Unit by 6 of the top 10 US health insurance companies (~1/3rd of US healthcare data is handled by us), helping with error/overpayment detection of hospital/doctor claims. Unlike typical services and consulting companies, we make our revenue from the savings we identify for the client (Commission/Outcome basis). We productize algorithms and R&D accelerators that are intended to be used across multiple health insurance clients for the above business case.

The POD SPOC is accountable for end-to-end analytics project delivery for an assigned client POD. This is a hands-on delivery role that converts client and program priorities into executable analytics workplans, manages project cadence across teams, governs POD and program health through KPIs, and ensures the analytics portfolio contributes to monthly, quarterly, and annual revenue goals.

*Base Pay Range: 93,900 - 154,200

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

• 10+ years Managing analytics delivery, program analytics, client delivery, KPI governance, or similar hands-on analytical roles
• 7+ years Data profiling, joins, reconciliations, validation, trend analysis, business-rule testing, and performance-aware querying
• 3+ years Data wrangling, automation, exploratory analysis, QA checks, reusable scripts, and productivity improvements
• 2-3 years Notebook-based analysis, data exploration, validation, collaborative code review, and scalable analytics workflows
• 8+ years Complex formulas, pivots, QA trackers, KPI packs, reconciliations, and stakeholder-ready analysis views
• 5+ years Executive summaries, KPI narratives, revenue readouts, client-ready decks, and business recommendations
• 5+ years Trend interpretation, sampling logic, variance analysis, outlier detection, opportunity sizing, and decision support
• 5+ years POD scorecards, program health dashboards, delivery metrics, corrective actions, and operating cadence
• 5+ years Workplans, action logs, dependency tracking, risk management, release coordination, and stakeholder follow-up
• Basic practical knowledge of ML/LLM

Preferred Background:

• Hands-on experience managing analytics delivery for healthcare, payment integrity, claims operations, audit analytics, risk analytics, finance analytics, or operational analytics programs.

• Experience managing one complex client or two to three smaller clients while balancing BAU production, enhancements, strategic projects, and revenue priorities.

• Prior consulting, advisory, transformation, or client-facing analytics delivery experience is strongly preferred and will be considered an added advantage.

• Experience leading cross-functional initiatives with distributed teams across onshore and offshore locations.

• Experience creating KPI packs, program scorecards, operational dashboards, revenue summaries, executive updates, and business case materials.

• Exposure to AI, ML, GenAI, or LLM-enabled analytics solutions, productivity tools, or automation initiatives.

• Comfortable working with senior stakeholders while also being hands-on with data validation, analytical review, and issue diagnosis.

*The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.