Data Governance Analyst III [Remote]
$100k - $120kjobgether
- Remote job
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Governance Analyst III based in United States.
This role offers the opportunity to strengthen enterprise data governance capabilities within a fast-growing healthcare technology environment.
You will help establish trusted, scalable data foundations by improving ownership, consistency, and accessibility across critical business domains.
The position sits at the intersection of data strategy, analytics, compliance, and operational excellence.
You will collaborate with technical and business stakeholders to enhance metadata management, master data practices, and governance processes.
Your work will directly contribute to improving data quality, transparency, and decision-making across complex healthcare ecosystems.
This is an ideal opportunity for a data professional who enjoys solving cross-functional challenges and building sustainable governance frameworks.
Accountabilities:
As a Data Governance Analyst III, you will support the development and execution of enterprise data governance and master data management initiatives. You will work closely with cross-functional teams to improve data quality, accountability, and operational adoption while helping create a trusted foundation for analytics and business decisions.
- Partner with business, analytics, platform, and infrastructure teams to support data governance initiatives aligned with organizational priorities.
- Own and improve governance workflows, metadata practices, stewardship processes, and documentation standards across assigned data domains.
- Support the development and maintenance of data glossaries, lineage documentation, canonical data models, and governance frameworks.
- Contribute to master data management initiatives by improving data consistency, discoverability, and operational reliability.
- Help define and monitor governance KPIs, reporting processes, and data quality measurements.
- Support governance controls, remediation workflows, and accountability processes to strengthen compliance and trusted data practices.
- Drive adoption of governance standards through stakeholder communication, enablement materials, and process improvements.
- Collaborate with technical teams to evaluate automation opportunities, AI-assisted governance capabilities, and data quality enhancements.
Requirements:
The ideal candidate brings strong experience in enterprise data management, governance frameworks, and cross-functional collaboration. You should be comfortable translating complex data concepts into practical business solutions while maintaining operational discipline and attention to detail.
- 4–6+ years of experience in data governance, master data management, analytics, operations, or related enterprise data roles.
- Strong understanding of metadata management, reference data, data stewardship models, and governance frameworks.
- Experience supporting governance processes, data quality initiatives, and operational data management workflows.
- Familiarity with metadata catalog platforms such as Atlan and enterprise data lineage practices.
- Working knowledge of modern data architectures and how governance integrates with analytics and data engineering environments.
- Understanding of AI-assisted governance, entity resolution concepts, and automation opportunities for improving trusted data management.
- Ability to collaborate effectively with technical and non-technical stakeholders across multiple teams.
- Strong communication skills with the ability to explain governance concepts clearly to business, operational, and technical audiences.
- Strategic and systems-oriented mindset with strong organizational skills and attention to process consistency.
- Experience in healthcare, life sciences, regulated industries, privacy, classification, or retention initiatives is a plus.
Benefits:
- Competitive estimated total cash compensation range of $100,000 – $120,000 USD .
- Fully remote work opportunity within the United States.
- Opportunity to contribute to impactful healthcare data solutions that improve accessibility and usability of health information.
- Collaborative environment focused on innovation, data excellence, and meaningful industry transformation.
- Comprehensive healthcare benefits, including medical, dental, and vision coverage.
- Health savings and flexible spending account options.
- Retirement benefits and employee support programs.
- Professional growth opportunities within a high-performance technology organization.
- Inclusive workplace culture committed to diversity, belonging, and equal opportunity.
- Supportive environment with opportunities to work on advanced data governance, analytics, and AI-driven initiatives.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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