Data Analytics Manager – POD SPOC

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of delivery plans for analytics projects, enhancements, recurring reporting, and ad hoc client requests within the assigned POD.

• Convert business challenges into analytical requirements, outline project scope, estimate effort, synchronize timelines, and manage dependencies among analytics, Tech, Operations, POD, and program teams.

• Conduct data profiling, validation, reconciliation, metric interpretation, issue diagnosis, and quality assessment prior to release.

• Monitor deliverables from intake through development, validation, deployment, stabilization, and post-release monitoring.

• Recognize delivery risks, escalate obstacles, and facilitate resolutions through structured follow-ups and action logs.

• Ensure outputs are accurate, audit-ready, documented, and accessible to business, program, and client-facing teams.

• Oversee POD and program health utilizing delivery, quality, backlog, automation, revenue, and operational KPIs.

• Prepare regular KPI reviews that include status, risks, root causes, corrective actions, owners, and due dates.

• Analyze metric changes and devise action plans to enhance performance.

• Compile project status, savings/revenue performance, operational throughput, and client commitments for program governance.

• Develop executive-ready summaries and PowerPoint narratives detailing metric changes, delivery risks, and business impacts.

• Monitor forecast against actual revenue or savings contributions from analytics initiatives.

• Prioritize tasks based on business value, revenue impact, client commitments, compliance requirements, and feasibility.

• Identify revenue leakage, underperformance, stalled initiatives, delayed implementation, and dependency risks.

• Create business cases for analytics initiatives, automation opportunities, and improvements in value realization.

• Act as the POD's primary contact, coordinating program, technical, validation, operations, and client-facing teams.

• Facilitate project discussions, maintain work plans, track action items, establish ownership, and follow up to ensure closure.

• Report status through delivery trackers, issue logs, KPI dashboards, Excel summaries, PowerPoint updates, and leadership readouts.

• Represent the Analytics team in cross-functional forums.

• Apply SQL, Python, Databricks, statistics, Excel, PowerPoint, ML, and LLM concepts for analytics execution and business problem resolution.

• Structure ambiguous problems, develop hypotheses, validate with data, offer recommendations, and translate intricate analytics into business messages.

⛳️ Requirements

• Bachelor's Degree.

• Over 10 years of experience managing analytics delivery, program analytics, client delivery, KPI governance, or similar hands-on analytical roles.

• More than 7 years of experience in data profiling, joins, reconciliations, validation, trend analysis, business-rule testing, and performance-aware querying.

• At least 3 years of experience in data wrangling, automation, exploratory analysis, QA checks, reusable scripts, and productivity enhancements.

• 2 to 3 years of experience in notebook-based analysis, data exploration, validation, collaborative code review, and scalable analytics workflows.

• More than 8 years of experience with complex formulas, pivots, QA trackers, KPI packs, reconciliations, and stakeholder-ready analysis views.

• Over 5 years of experience creating executive summaries, KPI narratives, revenue readouts, client-ready presentations, and business recommendations.

• More than 5 years of experience in trend interpretation, sampling logic, variance analysis, outlier detection, opportunity sizing, and decision support.

• Over 5 years of experience with POD scorecards, program health dashboards, delivery metrics, corrective actions, and operating cadence.

• More than 5 years of experience managing work plans, action logs, dependency tracking, risk management, release coordination, and stakeholder follow-up.

• Basic practical knowledge of ML/LLM.

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

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

• Preferred background in consulting, advisory roles, transformation, or client-facing analytics delivery.

• Experience leading cross-functional initiatives with distributed teams across both 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 engaging with senior stakeholders while remaining hands-on with data validation, analytical review, and issue diagnosis.

🏝️ Benefits

• Base salary range of $93,900–$154,200.

• Benefits information available on EXL’s US careers and benefits page.

• Work from home.