Director, Enterprise Data Management

ConvenientMD•Portsmouth, NH

About The Position

The Director of Enterprise Data Management provides strategic and operational leadership for ConvenientMD’s enterprise data strategy and data platform. The role encompasses data engineering, architecture, security, governance, analytics, and delivery capabilities. The Director is responsible for building, maintaining, and securing a scalable healthcare data environment using Microsoft Fabric and Azure technologies. The Director partners 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. The role combines strategic leadership with hands-on collaboration and operational problem-solving.

Requirements

  • Bachelor’s degree in computer science, data engineering, information systems, analytics, healthcare informatics, or a related field, or an 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, and 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.

Responsibilities

  • Develop and execute a multi-year enterprise data strategy aligned with organizational priorities, clinical operations, revenue cycle, payer requirements, compliance, and growth.
  • Establish target-state data architecture, engineering standards, integration patterns, and reusable data products across structured and unstructured healthcare data sources.
  • 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.
  • Implement security controls and practices, including role-based access, least-privilege controls, encryption, data classification, auditing, retention, secure development, and monitoring, consistent with HIPAA, HITECH, contractual obligations, and organizational policies.
  • Direct ingestion, normalization, validation, and exchange of clinical, claims, eligibility, remittance, provider, financial, and operational data using standards such as HL7 v2, FHIR, and X12 EDI and related coding systems.
  • Oversee data solutions involving commercial and government payers, claims and encounter files, eligibility, authorizations, denials, remittances, and revenue-cycle analytics.
  • Establish data ownership, stewardship, definitions, lineage, metadata, master and reference data practices, quality controls, issue management, and certification of trusted data assets.
  • Manage and develop analysts and data professionals by setting priorities and standards, allocating resources, coaching team members, and building a culture of accountability and continuous improvement.
  • Collaborate with data delivery teams to translate business needs into scalable solutions, remove delivery barriers, manage dependencies, and improve release quality and speed.
  • Define service levels, platform performance measures, incident and change processes, documentation standards, cost controls, vendor oversight, and technology roadmaps.
  • Communicate data strategy, risks, priorities, and outcomes to executive, technical, clinical, financial, and operational audiences.

Benefits

  • Collaborative team environment that encourages professional growth.
  • Urgent care services at no cost to team members and their families.
  • Health, dental, and vision coverage.
  • Company-paid short-term disability.
  • Optional pet insurance.
  • 401(k) match after one year of service.
  • Access to primary care, depending on location.
  • Educational Alliance with Purdue University Global and reduced tuition rates for team members and their families.
  • Rewards and access to discounts on services and products such as hotels, travel, entertainment, and restaurants.
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