Overview
Establish and mature enterprise-wide information governance capabilities, designing and operationalizing governance frameworks that enable trusted, consistent, and reusable information across the organization.
What you'll do
- Design, implement, and continuously improve the Enterprise Data Governance Framework, including governance policies, standards, processes, and operating models.
- Develop governance KPIs, maturity assessments, and continuous improvement initiatives.
- Promote governance as an enterprise capability and drive organizational adoption.
- Establish enterprise Data Owner and Data Steward operating models.
- Support business domains in implementing governance responsibilities and accountability.
- Facilitate governance councils and resolve governance and ownership challenges.
- Develop and maintain enterprise Business Glossaries.
- Standardize business terminology, KPI definitions, and business rules.
- Drive semantic consistency across reporting, analytics, AI, and Data Products.
- Define metadata management standards, taxonomy, classification, and documentation practices.
- Lead adoption of enterprise data catalog capabilities.
- Improve discoverability, transparency, and trust in enterprise information assets.
- Establish enterprise Data Quality governance standards.
- Define Critical Data Elements (CDEs) and coordinate remediation initiatives.
- Establish standards for information classification, retention, archival, and disposal.
- Define governance standards for enterprise Data Products.
- Support certification and lifecycle management of trusted information assets.
- Ensure enterprise information is AI-ready through strong governance, metadata, and semantic standards.
- Facilitate governance workshops and stakeholder engagement sessions.
- Develop governance playbooks, communication material, and training programs.
- Drive governance adoption and improve data literacy.
- Support governance activities related to privacy, security, regulatory compliance, and audits.
- Ensure governance controls are documented, measurable, and continuously improved.
What you'll need
- Bachelor's degree in Data Science, Information Management, Computer Science, Information Systems, Business Analytics, Engineering, or a related discipline.
- Minimum 5-7 years of experience in Data Governance, Enterprise Information Management, Metadata Management, Information Architecture, or Enterprise Data Management.
- Experience implementing enterprise Data Governance frameworks and governance operating models.
- Strong understanding of metadata management, business glossaries, semantic models, enterprise data catalogs, and data quality.
- Experience supporting enterprise analytics, digital transformation, and AI initiatives.
- Experience facilitating governance workshops and stakeholder engagement in global organizations.
- Strong understanding of Enterprise Data Governance, Metadata Management, Business Glossaries, Data Quality, Master Data Management (MDM), Semantic Models, Data Products, and Information Lifecycle Management.
- Good understanding of SAP HANA, SAP Business Data Cloud (BDC), relational databases, and modern cloud data platforms.
- Experience with SQL technologies including SAP HANA SQL, Microsoft SQL Server, Oracle SQL, or equivalent.
- Understanding of SAP Analytics Cloud (SAC), Power BI, Spotfire, or similar BI platforms.
- Familiarity with enterprise data warehouses, semantic layers, and cloud analytics platforms.
- Understanding of AI data foundations and governance required for responsible AI.
- Strong affinity for understanding end-to-end business processes across Finance, Supply Chain, Manufacturing, Procurement, Sales, HR, and other enterprise domains.
- Ability to bridge business and technology by collaborating with business stakeholders, architects, application teams, and data engineering teams.
- Proactive self-starter with strong ownership and accountability.
- Exceptional attention to detail while maintaining an enterprise perspective.
- Excellent stakeholder management and influencing skills.
- Strong communication and presentation skills.
- Analytical, structured, and solution-oriented mindset.
- Collaborative approach with the ability to build consensus.
- Comfortable leading change in a dynamic environment.
- High integrity, professionalism, and commitment to responsible information management.
Nice to have
- Professional certifications such as DAMA CDMP, DCAM, Microsoft Purview, Collibra, SAP BDC governance or equivalent.
Read the full description and apply on the company’s own careers page.