Centivo

Vice President

• 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.

VP Reporting – Analytics

Auditor

• Oversight and management of the Claims Quality Assurance Team, including mentoring the team, implementing and coaching through performance improvement plans, and training auditors on job performance expectations.
• Reviewing audits of claims, ensuring processing accuracy by verifying all aspects of the audit have been handled correctly and according to both standard processes and the Client’s summary plan description.
• Managing the inventory of audits against standard service level agreements (SLA’s) and reporting requirements.
• Compiling reporting of audits completed, with decision methodology for procedural and monetary errors which are used for quality reporting and trending analysis utilizing quality tools.
• Identifying trends based on the quality reviews, identifies quality improvement opportunities and partners with training team to develop programs.
• Partnering with Claims Department Leadership and Training Lead on any problematic issues warranting immediate corrective action.

Supervisor, Claims Quality Auditor

Business Intelligence Developer

• Partnering with business stakeholders and subject matter experts to gather, document, and validate requirements, and translate them into technical data specifications, KPIs, and user outcomes.
• Architect end-to-end solution covering data sourcing, scalable data models, metric definitions, and dashboard layouts that are scalable, accurate, user-friendly, and visualize trends effectively.
• Build reports, dashboards, and analytical datasets; write optimized SQL and leverage company approved BI tools to deliver market-facing and internal analytics capabilities.
• Conduct rigorous data validation and user acceptance testing (UAT); verify metric logic, source-to-target accuracy, and dashboard functionality before release.
• Manage the deployment of new reports and dashboards through defined release processes; communicate with stakeholders to ensure access control, user training, and timely delivery.
• Monitor and sustain the health of existing reporting assets; troubleshoot data and dashboard issues, identify root causes, and implement technology or process fixes to ensure ongoing reliability.
• Continuously evaluate existing analytics capabilities for improvement opportunities; incorporate stakeholder feedback, evolving business needs, and new data sources to expand analytical value.
• Provide training and support to end users on utilizing and interpreting reports and analytics. Write user-friendly documentation to help self-serve.
• Deliver urgent business needs through rapid ad-hoc queries, report creation, and data analysis.
• Perform continual analysis of current performance, utilizing historical trends, and conduct frequent re-forecasting to make necessary adjustments in staffing plans to achieve service level goals and business objectives.
• Support internal teams by using data and root cause analysis to recommend process changes that improve SLAs and operational efficiency. Reduce manual effort by automating needs for insights through BI tools, scripting, and improved data pipelines.
• Contribute to assigned special projects and transformation initiatives.

VP Reporting – Analytics

Supervisor, Claims Quality Auditor

Healthcare BI Analyst