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Lead Director, Business Analytics; Medicare Stars Data Intelligence

Job in Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listing for: 4062 Aetna Resources, LLC
Full Time position
Listed on 2026-06-27
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 231540 USD Yearly USD 100000.00 231540.00 YEAR
Job Description & How to Apply Below
Position: Lead Director, Business Analytics (Medicare Stars Data Intelligence)

Position Summary

Lead Director, Business Analytics (Medicare Stars Data Intelligence) is a senior leadership role within the Medicare Stars Data Intelligence organization, responsible for advancing enterprise analytics, driving strategic insights, and enabling data‑driven decision‑making across the business. The role leads the synthesis of complex, multi‑source data into clear, actionable insights to improve Medicare Stars performance and inform executive strategy. It aligns analytics with business priorities, strengthens data governance, and accelerates innovation through advanced analytics and emerging capabilities such as AI‑enabled insights.

Responsibilities

Strategic Analytics & Leadership
  • Lead the development and execution of analytics strategies that support Medicare Stars performance and enterprise priorities.
  • Serve as a trusted advisor to senior leadership, delivering insights that directly influence strategic decisions.
  • Translate complex analytical findings into compelling executive‑level storytelling.
  • Proactively identify opportunities to improve performance through advanced analytics and data‑driven recommendations.
Data Intelligence & Insights Delivery
  • Oversee the development of reporting, dashboards, and analytical models to track performance and inform decision‑making.
  • Drive the synthesis of structured and unstructured data into meaningful insights that support strategic planning.
  • Ensure timely delivery of high‑quality analytics to support forecasting, trend analysis, and scenario modeling.
  • Leverage AI agents and advanced tools to enhance the speed and quality of insight generation for executive stakeholders.
Cross‑Functional Partnership
  • Partner across Data Science, Product, Operations, and DDAT teams to align data capabilities with business needs.
  • Collaborate with stakeholders to define data requirements and ensure alignment with enterprise priorities.
  • Influence cross‑functional initiatives by embedding analytics into operational workflows.
Data Governance & Quality
  • Ensure adherence to data governance, compliance, privacy, and security standards.
  • Establish processes to validate, monitor, and improve data integrity and reliability.
  • Provide leadership in defining best practices for analytics, reporting, and data usage.
Innovation & Capability Advancement
  • Drive the adoption of advanced analytics techniques, including AI/ML, to enhance business insights.
  • Identify and implement opportunities to modernize analytics tools, processes, and data capabilities.
  • Promote a culture of innovation, continuous improvement, and data literacy within the organization.
Qualifications
  • Bachelor’s degree in Informatics, Data Science, Business Analytics, or a related field (or equivalent experience).
  • Significant experience in analytics, informatics, or data‑driven leadership roles.
  • Proven ability to translate complex data into actionable business insights.
  • Experience leading cross‑functional initiatives and influencing senior stakeholders.
  • Strong expertise in data analysis, reporting, and visualization tools (e.g., SQL, Tableau, Python).
  • Experience in healthcare, Medicare Stars, and regulated environments.
  • Familiarity with CMS Stars measures, forecasting methodologies, and performance frameworks.
  • Experience with cloud‑based data platforms (e.g., GCP, Azure, Snowflake).
  • Exposure to AI/ML and advanced analytics techniques.
Other Skills
  • Project Leadership:
    Ability to lead complex, multi‑threaded initiatives from concept through execution.
  • Business Analysis:
    Strong capability to translate business needs into data‑driven solutions and insights.
  • AI‑Enabled Insight Generation:
    Experience leveraging AI agents to synthesize large datasets into executive‑ready insights.
  • Complex Data Queries:
    Advanced proficiency in querying, manipulating, and analyzing large, complex datasets.
Core Competencies
  • Strategic thinking and executive presence.
  • Data storytelling and influence.
  • Cross‑functional collaboration.
  • Analytical rigor and problem solving.
  • Execution and accountability.
  • Impact of the role.
Impact of the Role

This role is instrumental in shaping how data is leveraged across the organization to drive Medicare Stars performance. By delivering high‑impact…

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