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Data Governance Specialist
2 weeks ago
We are seeking a highly skilled and experienced professional to fill the role of Data Governance Lead. The ideal candidate will have a strong background in data management, business transformation, and analytics.
Key Responsibilities:- Develop and implement an integrated data governance strategy that aligns with business priorities.
- Guide leaders on opportunities for data-enabled process improvement and provide expertise on data modeling and governance.
- Collaborate with cross-functional teams to develop templates and frameworks for capturing complex data design and business process metadata.
- Build a backlog of data improvements and quick wins for governance councils.
- Map critical data elements against business processes.
- Collaborate on logical data models supporting enterprise-wide capabilities.
- Embed data governance and stewardship into business processes.
- Ensure metadata is captured, curated, and maintained (F.A.I.R. – Findable, Accessible, Interoperable, Reusable).
- Analyze, document, and orchestrate fit-for-purpose data for business innovation.
- Work with data architects, engineers, and scientists to prepare data for analytics.
- Collaborate with analytics teams to improve and publish KPI metrics on adoption.
- Orchestrate support for data issues across departments.
- Manage relationships with stakeholders and communicate progress, challenges, and opportunities.
- Stay updated on trends, technologies, and best practices.
- Adapt governance processes to evolving needs.
- Support change management, training, and data literacy efforts.
- Guide and manage teams to coordinate data governance at departmental and enterprise levels.
Skills & Qualifications:
- Bachelor's degree in Computer Science, Business Analytics, or related field (MBA/Master's preferred).
- 5+ years in large-scale data management and business transformation.
Preferred Qualifications:
- Expertise in data domains (e.g., Customer, Digital Assets, Sales).
- 7+ years of experience in data analysis, architecture, management, quality, AI, or related disciplines.
- Experience capturing business processes and data requirements.
- Proven ability to manage diverse technical and non-technical teams in data projects.
- Familiarity with data modeling (conceptual, logical, physical) and data governance tools (e.g., Collibra, Informatica, SAP, Microsoft Purview).
- Experience with Master Data Management (e.g., SAP MDG).
- Strong communication and stakeholder management skills.