Data Governance and Analytics Architecture Director

Role Description

The Data Governance & Analytics Architecture Director is a leader within the Health Enablement Analytics organization responsible for ensuring all data, analytics, and AI initiatives are built on a scalable, standardized, and governed foundation. This role serves as a subject matter expert for data governance, analytics architecture, and AI/ML best practices across Health Enablement.

• Provide advisory leadership, technical guidance, and architecture standards.
• Shape how solutions are designed and delivered, enabling Health Enablement Analytics to operate as a reliable, high-impact capability.

Responsibilities

• Data Governance & Standards
  • Contribute to the development of data governance standards and best practices across analytics and reporting.
  • Provide guidance on data quality, consistency, and appropriate use of enterprise data assets.
  • Support the standardization of data models, business metrics, and reusable data assets.
  • Implement governance frameworks, ensuring policies are embedded into day-to-day data and analytics workflows.
  • Establish clear data stewardship accountability across business and analytics teams.
  • Oversee data quality processes, metadata management, and governance monitoring.
  • Serve as the primary point of contact for Information Governance, data risk, and compliance alignment.
• Data Architecture & Platform Alignment
  • Drive standardization of data assets to reduce fragmentation.
  • Provide subject matter expertise on analytics architecture across BI, reporting, and advanced analytics.
  • Partner with teams to ensure solutions are aligned with enterprise data platforms.
  • Recommend architectural approaches that support scalability, interoperability, and reuse.
• Technical Enablement & Scalable Delivery
  • Serve as a technical SME contributing to AI/ML standards and best practices.
  • Provide guidance to ensure analytic and AI solutions are designed for scalability and sustainability.
  • Advise on approaches to monitor performance, manage technical debt, and identify architectural risk.
  • Assess technical feasibility of innovation and analytics initiatives.
  • Consult on solution design to support production readiness and scalability.
  • Identify constraints in data or architecture and propose practical workarounds.
  • Define guardrails that enable faster decision-making and reduce execution friction.
• Cross-Functional Collaboration
  • Serve as a consultative technical partner to Innovation, Data Science, Reporting, and broader enterprise teams.
  • Translate business and analytics requirements into technical solutions and executable designs.
  • Provide input on feasibility, architecture, and standards to support solution development.
  • Collaborate across teams to ensure analytics solutions are aligned with enterprise direction.
  • Contribute technical expertise to vendor evaluations and platform decisions as needed.
  • Hire, develop, coach, lead and retain top-tier talent.
  • Complete all responsibilities as outlined in the annual performance review and/or goal setting.
  • Complete all special projects and other duties as assigned.

Qualifications

• Advanced degree in Computer Science, Engineering, Data Science, or a related field required.
• 10+ years of experience in data governance, data architecture, data engineering, and analytics roles.
• 5+ years of leadership experience driving data governance, data architecture, and analytics platform initiatives at enterprise scale.
• Proven ability to define and implement data governance frameworks, standards, and data quality processes.
• Strong expertise in data modeling, data warehousing and lakehouse architectures, cloud-based analytics platforms, and modern data ecosystems.
• Experience enabling analytics and AI/ML solutions to scale from prototype to production deployment.
• Strong understanding of BI platforms, ETL/ELT frameworks, and data lifecycle management.
• Experience working across analytics, product, engineering, and innovation teams in complex environments.
• Ability to translate business and analytics priorities into scalable technical architecture and design.
• Strong leadership, stakeholder management, and decision-making capabilities.
• Able to work independently in a fast-paced environment as part of a distributed team.
• Proven ability to handle stressful situations, multiple tasks, and deadlines.
• Strong written and oral communication skills.
• Demonstrated teamwork, leadership, and project management discipline.
• Demonstrated ability to work cross-functionally to drive business outcomes.

Requirements

• Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
• Must be able to provide a dedicated, secure work area.
• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Repeating motions that may include the wrists, hands and/or fingers.
• No adverse environmental conditions expected.

Benefits

• Base compensation ranges from $150,000 to $200,000 per year.
• Eligible for discretionary bonus consideration.
• Competitive benefits package including medical, dental, vision, disability, and life insurance coverage.
• 401(k) savings plans.
• Paid family leave.
• 9 paid holidays per year.
• 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service.