Job Description:

• Define and execute the reporting and analytics strategy aligned to organizational priorities, with a product mindset that emphasizes reusability, consistency, and scalability across the enterprise.
• Establish and maintain a standard library of reporting insights, including a semantic layer of measures and models, designed to meet the majority of recurring reporting and analytics needs across the organization and in-the-moment ad-hoc analyses.
• Drive enterprise-wide data literacy and self-service analytics capabilities, enabling teams to access, interpret, and act on data confidently without requiring analyst intermediation for routine decisions.
• Champion a culture of insight-to-action — ensuring analytics findings are translated into clear strategic and operational recommendations that business leaders can act on decisively.
• Lead the team’s evolution toward AI-enabled analytics capabilities in accordance with Centivo’s AI Governance and Acceptable Use policies.
• Serve Employers, Brokers, Client Success, and Centivo Corporate in highlighting Centivo’s value — proactively creating and managing standard insights and delivering urgent and advanced analysis for clients and corporate stakeholders.
• Serve internal stakeholders (e.g. Claims Operations, Member Operations, Care, Provider, Finance, etc.) by delivering operational performance insights and supporting data driven planning — predominantly developing standard insights for self-service by internal users, with ad-hoc delivery as prioritized.
• Partner directly with senior leaders across Claims Operations, Member Operations, Care, Finance, Sales & Marketing, and Centivo Corporate to translate business priorities into actionable analytics capabilities.
• Ensure proactive, ongoing engagement Client Success — anticipating stakeholder needs and maintaining alignment on priorities.
• Collaborate closely with the head of data architecture (Datalake team) to ensure alignment between analytics products and the underlying data infrastructure, governance standards, and platform roadmap.
• Own the BI infrastructure strategy, including sourcing, integration and ongoing management of third-party BI tools and metrics/models that enable scalable and differentiated insights.
• Lead BI tool migration efforts, ensuring continuity of reporting capabilities while improving scale, performance, and usability.
• Identify and propose analytical solutions that leverage corporate, clinical and third-party data assets to drive measurable business outcomes.
• Own accountability for delivery against time and quality SLAs across standard and ad-hoc analytics requests.
• Lead execution of a prioritized portfolio of analytics initiatives; establish process discipline to ensure consistent, high-quality output at scale.
• Drive automation — including AI-assisted workflows — to reduce errors, improve productivity, and increase the team’s overall capacity for higher-value analysis.
• Define and track key performance metrics across analytics value streams; course-correct proactively when performance deviates from plan.
• Directly manage and develop a team of data analysts, providing coaching, performance oversight, and career development aligned with Centivo’s leadership behaviors and growth objectives.
• Build and maintain a high-performing analytics organization; model Centivo’s values and leadership behaviors consistently.
• Manage vendor relationships related to BI tooling and third-party data/model providers, including oversight of contracts, statements of work and delivery performance.

Requirements:

• Bachelor’s degree required; advanced degree (MBA, MS, or related) preferred.
• 5 years of experience leading analytics or reporting teams, including direct management of analysts and team leads.
• 5 years of healthcare industry analytics experience with a health plan (TPA strongly preferred) and/or health systems and/or HealthTech companies, with hands-on experience with core datasets (claims, EHR, enrollment, provider, care coordination).
• Domain expertise with claims operations, value-based care, ACO models, and self-funded employer health plans is a significant differentiator.
• Demonstrated experience designing and delivering a standard library of reporting and analytics products at enterprise scale, with a product mindset for reusability and consistency.
• Strong working knowledge of modern BI and analytics tools, especially Tableau, and additionally AWS Quicksight and Power BI; data platforms such as Databricks, Snowflake, or Microsoft Azure Fabric; and analytical tools such as Python or R.
• Experience with advanced analytics including machine learning and predictive modeling; familiarity with agentic AI and automation in an analytics context is a strong differentiator.
• Strong stakeholder management skills, with experience delivering business reviews and translating complex analytics into clear, actionable recommendations for senior leaders.
• Demonstrated ability to build consensus across business and technology stakeholders to drive prioritization and investment decisions.

Benefits:

• Offers Equity
• Offers Bonus