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Senior Manager

EXL

5 - 10 years

Chennai

Posted: 24/05/2026

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Job Description

Key Responsibilities

1. Pre-Sales & Business Growth

  • Account Expansion & Client Acquisition: Drive revenue growth by identifying up-sell/cross-sell opportunities within existing accounts and spearheading analytical consulting efforts to win new enterprise clients.
  • Proposal & Pitch Development: Architect and construct comprehensive, high-impact proposals, RFP responses, and pitch decks that clearly articulate EXLs value proposition and deep analytical capabilities.
  • Value Realization: Leverage EXLs vast repository of Payment Integrity success stories, benchmarks, and data insights to demonstrate clear ROI, financial savings, and operational efficiencies to prospective and current clients.

2. Industry Strategy & Transformation Advisory

  • Trend Analysis & Research: Continuously research and monitor evolving trends in the US Healthcare Payment Integrity market (e.g., shift-left strategies, AI adoption, DRG savings benchmarks, and regulatory shifts).
  • Internal Capability Building: Partner with internal Analytics Transformation and R&D teams to integrate market trends into EXLs internal solution frameworks, ensuring our offerings remain highly competitive and cutting-edge.
  • Client Innovation Showcase: Act as the face of EXLs analytical innovation, showcasing newly developed frameworks (including AI accelerators and ML models) during client engagements to position EXL as a strategic thought leader.

3. Data-Driven Storytelling & Stakeholder Management

  • Narrative Construction: Translate complex analytical outputs and raw data into intuitive, compelling business narratives that resonate with C-suite and executive payer audiences.
  • Executive Storyboarding: Consult in a leadership capacity, utilizing strong storyboarding skills to guide client decision-making, overcome objections, and foster long-term strategic partnerships.
  • Cross-Functional Synergy: Act as the critical bridge between client executives, sales teams, and internal data science delivery pods to ensure technical solutions align perfectly with client business objectives and pre-sales promises.

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