Managing Director, Data Reporting and Analytics, TPMG

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 teams; building organizational capacity and grooming high potentials for growth opportunities and advancement; staying current with industry trends, benchmarks, and best practices; providing guidance and leadership when difficult decisions need to be made; and ensuring performance management guidelines and expectations drive business needs.
• Oversees the operation of multiple units and departments by identifying customer and operational needs; analyzing resources, costs, and forecasts and incorporating them into business plans; engaging strategic, cross functional business units to champion and drive support for business plans and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; anticipating and removing obstacles that impact performance; addressing performance gaps and implementing contingency plans accordingly; ensuring products and/or services meet customer requirements and expectations while aligning with organizational strategies; serving as a subject-matter expert and trusted source to executive leadership; and providing influence and consultation in the development of the larger organizational or business strategy.
• Oversees data analysis interpretation by: championing the review of insights, reports, and presentations to ensure a compelling story to stakeholders to enable and influence decision making; approving high-profile findings and their application to contextual settings across the organization; pioneering analysis interpretation strategies as well as providing support to teams across the organization on complex data interpretation; and sharing insights with executive-level internal and/or external audiences.
• Oversees the execution of creative data analytic approaches leading to actionable outcomes across one or more functional areas, business and/or clinical lines by: championing strategic data design and analysis; and ensuring that established data analysis strategies align with and advance organizational needs.
• Champions data and information collection on targeted variables in an established systematic fashion by: approving data collection sources as well as reviewing and approving data sources for the entire organization; establishing data collection, refresh, and update standards; ensuring users are trained and supported; and overseeing the development and/or delivery of tools for electronic data collection as well as auditing documentation.
• Oversees data preparation for analytic efforts by: reviewing complex or high-profile data sets; establishing data quality and accuracy standards as well as overseeing the approval of system improvements to enhance overall quality of data; and championing the resolution of critical issues as appropriate.

Knowledge, Skills and Abilities: (Core)

• Ambiguity/Uncertainty Management
• Attention to Detail
• Business Knowledge
• Communication
• Constructive Feedback
• Critical Thinking
• Cross-Group Collaboration
• Decision Making
• Dependability
• Diversity, Equity, and Inclusion Support
• Drives Results
• Facilitation Skills
• Health Care Industry
• Influencing Others
• Integrity
• Leadership
• Learning Agility
• Organizational Savvy
• Problem Solving
• Short- and Long-term Learning & Recall
• Strategic Thinking
• Team Building
• Teamwork
• Topic-Specific Communication

Knowledge, Skills and Abilities: (Functional)

• Artificial Intelligence Threat Defense
• Business Acumen
• Business Intelligence
• Business Strategy Leadership
• Change Management
• Data Architecture
• Data Engineering
• Data Governance
• Executive Communications & Reporting
• Health Care Data Analytics
• Health Care Operations
• Information & Data Security
• Information Systems
• Innovative Mindset
• Program Development
• Business Planning
• Data Extraction
• Data Mining
• Data Visualization Tools
• Delegation
• Negotiation
• Project Management
• Relational Database Management
• Statistical Programming Language
• Vendor Management
• Written Communication

Minimum Qualifications:

• Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field AND minimum twelve (12) years progressive corporate, non-profit, or consulting experience, including six (6) years in data analytics or directly related field OR minimum fifteen (15) years of experience in data analytics or a directly related field, including six (6) years in data analytics or directly related field.
• Minimum five (5) years of experience in a leadership role with direct reports.
• Minimum six (6) years of general management experience, including three (3) years of experience in Director-level role or equivalent in a complex, multi-faceted health care setting.
• Minimum twelve (12) years of experience in data analytics, data engineering, business intelligence, or directly related field.
• Minimum six (6) years leading enterprise data, analytics, or technology teams.
• Minimum six (6) years managing complex data, analytics, or technology portfolios.
• Five (5) years of experience interacting with executive leadership in a complex organization.

Preferred Qualifications:

• One (1) year of experience working with Databricks.
• Two (2) years of experience partnering with physician and clinical leadership.
• Seven (7) years of healthcare analytics experience.
• Certifications in data governance, analytics, AI/ML, or cloud technologies.
• One (1) year of experience leading organizational change initiatives involving data, analytics, technology, or operations, including bringing together diverse teams and stakeholders into new or evolving operating models.
• Master's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.