
Data Governance Lead
6 days ago
We are seeking a seasoned Marketing Data Governance Lead to spearhead our data stewardship initiatives. This pivotal role partners with global, regional, and business leaders to analyze, document, optimize, and orchestrate enterprise data for marketing and consumer engagement, enabling analytics and AI initiatives.
Key Responsibilities:- Leadership & Execution of Stewardship Initiatives
- Support the execution of an integrated Data & AI stewardship strategy for Marketing and Consumer Engagement.
- Align stewardship with business priorities; guide leaders on opportunities for data-enabled process improvement.
- 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.
- Data Governance, Quality & Metadata Management
- Map critical data elements against marketing processes.
- Collaborate on logical data models supporting marketing and enterprise-wide capabilities.
- Embed data governance and stewardship into marketing processes.
- Ensure metadata is captured, curated, and maintained (F.A.I.R. – Findable, Accessible, Interoperable, Reusable).
- Enablement of AI/Analytics
- Analyze, document, and orchestrate fit-for-purpose data for marketing innovation.
- Work with data architects, engineers, scientists, and AI teams to prepare data for analytics.
- Collaborate with analytics teams to improve and publish KPI metrics on adoption.
- Cross-functional & Regional Collaboration
- Orchestrate support for data issues across markets.
- Manage relationships with business and technology stakeholders.
- Communicate progress, challenges, and opportunities.
- Continuous Improvement & Innovation
- Stay updated on trends, technologies, and best practices.
- Adapt stewardship processes to evolving needs.
- Support change management, training, and data literacy efforts.
- People Management
Guide and manage Regional Data Stewards to coordinate data stewardship at regional and market levels.
Required Skills and 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.
- Expertise in marketing/consumer engagement data domains
- 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.
- Experience with Master Data Management.
We empower Fortune 1000 companies through AI-powered decision intelligence.
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