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TPMG Managing Director, Data Reporting and Analytics

Job in Pleasanton, Alameda County, California, 94566, USA
Listing for: Kaiser Permanente
Full Time position
Listed on 2026-09-11
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
  • Management
    Data Science Manager
Salary/Wage Range or Industry Benchmark: 350000 USD Yearly USD 350000.00 YEAR
Job Description & How to Apply Below

Job Summary:

TPMG Managing Director, Data Reporting and Analytics role is responsible for establishing an enterprise data, analytics, and reporting strategy aligned with organizational priorities, regulatory expectations, and long-term performance objectives; advising executive leadership on the effective use of data, analytics, and digital insights to inform clinical, operational, and financial decision-making; governing enterprise data and reporting operations to ensure transparency, consistency, scalability, and alignment with organizational needs;

directing long-term planning and investment decisions for data platforms, cloud infrastructure, enterprise analytics tools, and advanced analytic capabilities; driving enterprise transformation of data, analytics, and reporting by bringing together diverse teams, functions, and stakeholders into a unified, high-performing organization; leading the standardization of the data & analytics operating model by aligning strategy, governance, standards, platform and execution across domains and groups;

partnering with executive leaders to guide the organization through complex change to deliver sustainable impact of data and analytics; and leading enterprise transformation of data, analytics and reporting by integrating distributed teams into a unified operating model.

This role is also responsible for defining prioritization frameworks for data, reporting, and analytics initiatives to maximize enterprise value and resource efficiency; overseeing enterprise reporting, business intelligence, and data product functions to deliver timely, accurate, intuitive, and actionable insights; advancing innovation through the responsible application of advanced analytics, artificial intelligence, and machine learning to improve outcomes and performance; fostering a culture of data-driven decision-making through strong data governance, cross-functional collaboration, and executive engagement;

and developing high-performing teams by promoting continuous learning, coaching, and effective communication across technical and nontechnical audiences.

In addition to the responsibilities listed below, this managing director role is also responsible for establishing an enterprise data, analytics, and reporting strategy aligned with organizational priorities, regulatory expectations, and long-term performance objectives; advising executive leadership on the effective use of data, analytics, and digital insights to inform clinical, operational, and financial decision-making; governing enterprise data and reporting operations to ensure transparency, consistency, scalability, and alignment with organizational needs;

directing long-term planning and investment decisions for data platforms, cloud infrastructure, enterprise analytics tools, and advanced analytic capabilities; driving enterprise transformation of data, analytics, and reporting by bringing together diverse teams, functions, and stakeholders into a unified, high-performing organization; leading the standardization of the data & analytics operating model by aligning strategy, governance, standards, platform and execution across domains and groups;

partnering with executive leaders to guide the organization through complex change to deliver sustainable impact of data and analytics; and leading enterprise transformation of data, analytics and reporting by integrating distributed teams into a unified operating model.

This role is also responsible for defining prioritization frameworks for data, reporting, and analytics initiatives to maximize enterprise value and resource efficiency; overseeing enterprise reporting, business intelligence, and data product functions to deliver timely, accurate, intuitive, and actionable insights; advancing innovation through the responsible application of advanced analytics, artificial intelligence, and machine learning to improve outcomes and performance; fostering a culture of data-driven decision-making through strong data governance, cross-functional collaboration, and executive engagement;

and developing high-performing teams by promoting continuous learning, coaching, and effective communication across technical and nontechnical audiences.

Essential Responsibilities:
  • Models and drives continuous learning and maintains a highly skilled and engaged workforce by aligning cross functional resource plans with business objectives; overseeing the recruitment, selection, and development of talent; motivating and empowering…
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