Lead enterprise operational analytics and advisory for healthcare payment integrity. Consult with C-suite, drive ROI-focused analytics strategy, oversee ML/NLP and Agentic AI delivery, manage talent, and ensure operational KPI and revenue targets.
Lead the operational analytics function at a strategic level. Partner with executives to guide decision-making and ensure continuous operational efficiency improvements across the business.
We are seeking a strategic and highly driven AVP of Analytics Transformation & Advisory to lead a multi-dimensional organization in Healthcare Payment Integrity. You will operate at the intersection of business strategy and advanced analytics, consulting directly with C-suite executives at major payers and providers. Your mandate is to reduce provider abrasion, optimize provider engagement, and spearhead highly scalable, innovative solutions that directly impact the bottom line.
ResponsibilitiesLead operational analytics strategy across the organization. Guide executive decision-making. Ensure continuous operational improvements.
1. Strategic Transformation & Advisory
- Executive Consulting: Serve as the primary Transformation & Advisory leader, consulting with senior client stakeholders to define roadmaps, identify revenue remediation opportunities, and design enterprise-level data solutions.
- Business Growth & P&L Impact: Drive overarching business metrics that significantly add to the top-line and profitability. Own the ROI frameworks for EXL’s revenue optimization business.
- Next-Gen Capability Building: Champion the integration of state-of-the-art technologies into the analytics lifecycle. Pioneer the adoption of advanced frameworks, including Agentic AI and LLM agents, to automate complex decision-making and uncover new patterns in structured and unstructured data.
2. Delivery & Operations Management
- Outcomes-Driven Leadership: Maintain overall accountability for the Payment Integrity KPIs. Ensure the organization consistently meets commission-based revenue targets through meticulous operational excellence.
- Risk & Strategy Steerage: Proactively identify risks to business KPIs and pivot strategies using advanced data science, predictive analytics, and deep-dive quantitative methodologies.
- Portfolio Oversight: Oversee a massive, multi-dimensional analytics portfolio, including Production Analytics (Rules & Model runs for 5+ enterprise clients), Shared R&D/Data Mining, ML/NLP development, and end-to-end Operational Analytics.
3. Talent & Stakeholder Management
- Organizational Leadership: Direct, mentor, and scale a high-performing organization of data analysts, scientists, and team managers. Define hiring strategies, career pathing, and attrition management.
- Cross-Functional Synergy: Build strategic relationships across global teams, onshore counterparts, and internal technology/platform teams. Centralize and prioritize enterprise requirements to ensure seamless delivery.
- Change Management: Translate complex data insights into compelling business narratives, enabling smooth change management and adoption among key client stakeholders.
Bachelor�s or Master's degree in Business, Data Science, Operations, or related field. 8-12 years of experience in operational analytics or business analytics.
The ideal candidate is a seasoned leader with 15+ years of overall experience in analytics delivery, strategy, and enterprise consulting.
- Leadership Experience: 10+ years of experience leading large-scale analytics organizations, creating enterprise solutions, and defining strategic roadmaps.
- Consulting Pedigree: 8+ years of experience preferably from top-tier Analytics/Consulting firms (e.g., MathCompany, Tredence, Mu Sigma, Tiger Analytics, LatentView, Big 4).
- Domain Expertise: Deep understanding of the US Healthcare value chain (Payers and Providers). Candidates with proven experience solving complex healthcare data and payment integrity problems are highly preferred (e.g., Optum, Truven/IBM, Cognizant Healthcare Payer, Sagitec).
- Education: MBA from a Top-Tier B-school strongly preferred, or an advanced degree in Engineering, Mathematics, Statistics, Operations Research, or Finance.
Core Skillsets & Competencies
- Advanced Analytics Mastery: Deep understanding of analytics levers (SQL rules, ML pipelines, NLP automation, optimization, and Agentic workflows).
- Technical Fluency: Strategic command over modern tech stacks (AWS/Azure, Databricks, Python, SAS) and digital frameworks to guide technical teams effectively.
- Commercial Acumen: Exceptional ability to translate ambiguous business problems into structured technical solutions that yield measurable financial ROI.
- Executive Communication: Flawless written and verbal communication, with the ability to storyboard complex analytical concepts for non-technical executive audiences.
- Agile Leadership: Proven ability to thrive in a fast-paced, high-stakes environment, managing multiple concurrent enterprise initiatives while fostering a collaborative, high-performance culture.
About Us
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
EXL Chennai, Tamil Nadu, IND Office
Chennai, India
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