Data Governance Manager

Omnicell•Atlanta, GA

About The Position

Omnicell is building its enterprise data governance program and seeks a Data Governance Manager to join its Legal Department. The role develops standards and policies for managing data across its lifecycle, establishes a data use program with clear quality standards, and designs a HIPAA-compliant de-identification program to support responsible analytics and research. It translates governance requirements into practical processes and controls so data is accurate, trusted, and used in accordance with applicable law and internal policy. The role partners across the organization to define data ownership and stewardship, establish governance documentation and controls, assess and remediate risks, and report on quality, policy adoption, and exceptions. It also promotes data literacy and a culture of stewardship through guidance, enablement, and training. The position is based in Atlanta, Georgia, or remote, and requires flexibility in working hours as needed and approximately 10% travel.

Requirements

At least 7 years of experience in data governance, data management, or a related discipline.
Proven experience developing and implementing data governance frameworks, policies, and standards.
Experience establishing or operating data quality standards, metrics, and monitoring mechanisms.
Strong command of data governance principles, frameworks, and best practices, such as DAMA-DMBOK.
Practical knowledge of data quality concepts, metadata management, and data lineage principles.
Working knowledge of HIPAA de-identification standards, including Safe Harbor and Expert Determination methods.
Familiarity with HIPAA/HITECH and CCPA/CPRA and their effects on data use, sharing, and governance.
Ability to translate governance requirements into practical, adoptable processes and controls.
Strong stakeholder management skills and ability to influence senior and cross-functional teams without direct authority.
Analytical mindset; ability to interpret data models and use basic querying to validate governance outcomes.
Excellent written and verbal communication skills, including the ability to produce clear governance documentation.
Strong project management skills, including prioritizing and managing competing demands, with a collaborative, solutions-oriented approach and sharp attention to detail.

Nice To Haves

Bachelor’s degree in information management, data management, computer science, business administration, or a related field, or equivalent experience.
Advanced degree or relevant certification, such as CDMP, CIPP/US, CIPM, or CHPC.
Experience in healthcare, medical device, or another HIPAA-regulated environment.
Hands-on experience designing or operating a HIPAA de-identification program, including Expert Determination.
Experience supporting de-identified analytics, research data environments, or a governed data lake.
Familiarity with data governance and catalog tools such as Collibra, Alation, Informatica, or Securiti.
Experience supporting global or cross-regional data programs, including GDPR.

Responsibilities

Develop, implement, and maintain data governance standards, policies, and procedures across the data lifecycle, aligned with business objectives and regulatory requirements.
Translate governance requirements into practical processes and controls that operational teams can adopt.
Establish a formal data use program defining how data may be accessed, used, and shared, including quality standards, approval workflows, and accountability.
Define, monitor, and report on data quality standards, metrics, and KPIs, and partner with data owners and stewards to investigate root causes and drive remediation.
Design and operate a HIPAA-compliant de-identification program using Safe Harbor and Expert Determination methods to enable de-identified analytics and research while protecting PHI.
Define data ownership and stewardship models and assign roles and responsibilities across business and technical teams.
Establish and maintain governance documentation and artifacts, including policies, standards, a business glossary, data dictionaries, metadata, and data lineage.
Conduct data risk assessments and manage remediation plans for data quality, governance, and compliance issues.
Partner with Privacy, Legal, Enterprise Security, Quality, and IT to align data practices with applicable law and contractual obligations.
Report regularly to data and privacy leadership on data quality, policy adoption, and exceptions, and drive continuous improvement through training, process changes, and escalation.
Promote data stewardship and data literacy through organizational guidance, enablement, and training.