Director, Data Strategy & Governance

Overview

has been leading the way in a booming healthcare industry since 1995. Locum Tenens is a Latin phrase meaning, “to substitute for.” When hospitals are understaffed, they rely on us to find the right temporary physicians to fill in when needed. Every associate at  plays a role in getting patients seen, no matter what they studied in school or what their role is here.

Located in Alpharetta, GA, we boast a state‑of‑the‑art campus featuring world‑class amenities. The company is a Jackson Healthcare company and is now the third largest healthcare staffing company in the U.S., serving more than 7 million patients in over 1,400 healthcare facilities.

The Director of Data Strategy & Governance is responsible for shaping and executing the organization’s data agenda across the full healthcare staffing lifecycle. This role serves as the strategic and operational backbone of the data function, owning data strategy, governance, quality, and semantic modeling. The Director builds and manages a robust data portfolio that powers competitive intelligence, workforce placement, and client outcomes, while ensuring data accuracy, trust, and consistent understanding across the enterprise.

• Data Strategy (55%)
  • Develop and maintain a multi‑year data portfolio roadmap aligned to business priorities, partnering with product, technology, and business leaders.
  • Inventory and assess existing first‑party data assets—applicant tracking, placement records, credentialing data, client engagement history—and identify gaps relative to strategic use cases.
  • Define a prioritized pipeline of second‑ and third‑party data investments, sequenced by expected impact and cost of acquisition.
  • Present quarterly roadmap updates to the VP, Data and senior leadership, including portfolio health, progress against milestones, and emerging opportunities.
  • Lead structured evaluations of external data providers using a standardized framework assessing data quality, coverage, refresh cadence, licensing terms, and total cost of ownership.
  • Negotiate data licensing and partnership agreements in collaboration with Legal and Procurement.
  • Manage ongoing vendor relationships, including periodic renegotiations and performance reviews.
  • Maintain and socialize a living catalog mapping datasets to prioritized business use cases to drive adoption and maximize the value of data investments.
  • Prior to investment, develop expected ROI models for each proposed dataset, quantifying projected revenue impact, cost savings, or efficiency gains using documented assumptions.
  • Instrument datasets post‑implementation to capture actual utilization and business outcomes, conducting regular ROI reconciliations and refining future investment decisions.
  • Collaborate with Finance to establish shared definitions, tracking methodologies, and reporting standards for data investment ROI.
• Data Governance (35%)
  • Define, enforce, and operationalize enterprise data quality standards across critical data domains by implementing automated monitoring, establishing SLAs, and embedding quality accountability within data‑producing teams.
  • Design and govern an enterprise data controls framework covering access management, retention, classification, lineage, and incident response, ensuring compliance with HIPAA and applicable state privacy laws.
  • Establish and govern a business glossary and data dictionary covering all critical data elements, ensuring shared definitions are accessible to both technical and business users.
  • Lead cross‑functional working groups to resolve definitional conflicts and drive alignment on key business metrics (e.g., active placement, fill rate, time‑to‑start).
  • Partner with BI, analytics, and data product teams to ensure consistent metric definitions are reflected in reporting layers, self‑service tools, and data products.
  • Implement and enforce naming conventions, classification taxonomies, and metadata standards across the data platform.
  • Own the design and evolution of the enterprise semantic model—the canonical representation of business entities, attributes, and relationships across the healthcare staffing domain.
  • Drive adoption of a knowledge graph or ontology layer…