
Senior Data Information Manager
7 days ago
We are seeking a Data Steward Lead to join our organization's Chief Data Office. This pivotal role partners with global, regional, and business leaders to analyze, document, optimize, and orchestrate enterprise data for marketing and consumer engagement.
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.
Key Responsibilities:
- Strategic Partnerships: Collaborate with cross-functional teams to drive data-driven decision-making.
- Process Optimization: Analyze and optimize business processes to improve efficiency and effectiveness.
- Stewardship Frameworks: Develop and implement stewardship frameworks to ensure data quality and integrity.
Qualifications:
- Strong understanding of data governance, quality, and metadata management principles.
- Proven experience in data stewardship, data architecture, or related field.
- Excellent communication and collaboration skills.
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