Remote Data Governance & Analytics Architecture Leader

Overview

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. This role provides advisory leadership, technical guidance, and architecture standards to ensure analytics and innovation efforts are aligned to enterprise data strategy and built in a scalable, sustainable manner.

This position operates as a consultative technical partner to Innovation, Analytics, and Reporting teams helping shape how solutions are designed and delivered; enabling Health Enablement Analytics to operate as a reliable, high-impact capability, driving measurable business outcomes.

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 to improve consistency and efficiency.
• 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 to ensure sustained data integrity.
• 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 and enable consistent cross-domain insights.
• 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 and long‑term strategy.
• 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 and provide input on viable solution approaches.
• Consult on solution design to support production readiness and scalability.
• Identify constraints in data or architecture and propose practical workarounds to enable business outcomes.
• 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 while meeting business needs.
• Contribute technical expertise to vendor evaluations and platform decisions as needed.
• Hire, develop, coach, lead and retain top-tier talent, with a focus on building and improving a team and culture that is able to assist in employing best in class practices to support and drive high levels of internal and external customer satisfaction.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as…