The Opportunity

The Director of Enterprise Data Management provides strategic and operational leadership for the organization’s enterprise data strategy and data platform. The role encompasses data engineering, architecture, security, governance, analytics, and delivery capabilities. This role is responsible for building, maintaining, and securing a scalable healthcare data environment using Microsoft Fabric and Azure technologies. The Director partners closely with business leaders, clinical and operational stakeholders, analysts, and data delivery teams to ensure trusted, timely, interoperable, and actionable data supports patient care, revenue cycle, payer relationships, regulatory obligations, and organizational decision-making.

Your Impact

• Enterprise data strategy: Develop and execute a multi-year enterprise data strategy aligned with organizational priorities, clinical operations, revenue cycle, payer requirements, compliance, and growth.
• Data architecture and engineering: Establish target-state architecture, engineering standards, integration patterns, and reusable data products across structured and unstructured healthcare data sources.
• Microsoft Fabric and Azure: Lead the design, implementation, administration, optimization, and lifecycle management of Microsoft Fabric and related Azure data services, including workspaces, lakehouse and warehouse patterns, pipelines, semantic models, capacity management, monitoring, backup, and disaster recovery.
• Security and compliance: Implement role-based access, least-privilege controls, encryption, data classification, auditing, retention, secure development practices, and monitoring consistent with HIPAA, HITECH, contractual obligations, and organizational security policies.
• Healthcare data and interoperability: Direct ingestion, normalization, validation, and exchange of clinical, claims, eligibility, remittance, provider, financial, and operational data using applicable standards such as HL7 v2, FHIR, X12 EDI, and related coding systems.
• Payer and claims data: Oversee data solutions involving commercial and government payers, claims and encounter files, eligibility, authorizations, denials, remittances, and revenue-cycle analytics.
• Data governance and quality: Establish ownership, stewardship, data definitions, lineage, metadata, master and reference data practices, quality controls, issue management, and certification of trusted data assets.
• Analytics leadership: Manage and develop a team of analysts and data professionals; set priorities, establish standards, allocate resources, coach team members, and build a culture of accountability and continuous improvement.
• Data delivery partnership: Work collaboratively and hands-on with data delivery teams to translate business needs into scalable solutions, remove delivery barriers, manage dependencies, and improve release quality and speed.
• Operational management: Define service levels, platform performance measures, incident and change processes, documentation standards, cost controls, vendor oversight, and technology roadmaps.
• Stakeholder engagement: Communicate data strategy, risks, priorities, and outcomes to executive, technical, clinical, financial, and operational audiences.

Who You Are

• Bachelor’s degree in computer science, data engineering, information systems, analytics, healthcare informatics, or a related field, or equivalent combination of education and relevant experience.
• Progressive leadership experience in enterprise data management, data engineering, data architecture, business intelligence, or analytics, including experience in a healthcare environment.
• Demonstrated experience designing, building, operating, maintaining, and securing Microsoft Fabric and Azure-based enterprise data platforms.
• Strong background in data engineering, dimensional and relational modeling, lakehouse and warehouse architecture, ETL/ELT, orchestration, APIs, data integration, performance optimization, and production support.
• Hands-on experience with insurance payers, claims and encounter files, eligibility and remittance transactions, and revenue-cycle or payer analytics.
• Working knowledge of healthcare interoperability standards, including HL7 v2, FHIR, and X12 EDI transactions; familiarity with healthcare terminology and coding systems.
• Experience establishing data governance, data quality, metadata, lineage, access control, privacy, retention, and audit practices for sensitive healthcare information.
• Experience managing, mentoring, and developing a team of analysts or data professionals, including performance management, workload prioritization, and resource planning.
• Ability and willingness to work directly with data delivery teams, participate in solution design and operational problem-solving, and balance strategic leadership with hands-on execution.
• Strong written, verbal, and executive communication skills, with the ability to translate technical concepts into business decisions and measurable outcomes.