
Chief Data Steward Leader
1 day ago
About this Role
We are seeking a highly skilled professional to lead our data stewardship efforts. As a key member of the Chief Data Office, you will support the Global Director in analyzing, documenting, optimizing, and orchestrating enterprise data for marketing and consumer engagement.
Key Responsibilities:
- 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.
Marketing & Consumer Engagement Scope:
- Lead performance-driving, consumer-led brand building with the right message at the right time, optimized by data and technology.
- Process areas: Inform with Insights, Plan Engagement Ecosystem, Develop Experiences, Engage Consumers, Convert Across Connected Commerce.
- Key data objects: Customer, Digital Assets, MRM, Sales, Insights.
- Platforms: Salesforce, DAM, CDP.
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.
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