
Senior Marketing Data Strategist
15 hours ago
As a Marketing Data Governance Manager, you will play a pivotal role in shaping our company's data strategy. This key position partners with global and regional leaders to analyze, document, optimize, and orchestrate enterprise data for marketing and consumer engagement.
This role requires expertise in data analysis, architecture, management, quality, AI, or related disciplines. You will be responsible for guiding leaders on opportunities for data-enabled process improvement and developing templates and frameworks for capturing complex data design and business process metadata.
The ideal candidate has experience in large-scale data management and business transformation, as well as expertise in data modeling (conceptual, logical, physical) and data governance tools.
You will work closely with data architects, engineers, scientists, and AI teams to prepare data for analytics and collaborate with analytics teams to improve and publish KPI metrics on adoption.
This is a senior-level position that requires strong communication and stakeholder management skills. The successful candidate will have a professional presence with experience presenting data strategies to senior leaders.
">- Support 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.
- 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.
- 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.
- Orchestrate support for data issues across markets.
- Manage relationships with business and technology stakeholders.
- Communicate progress, challenges, and opportunities.
- Stay updated on trends, technologies, and best practices.
- Adapt stewardship processes to evolving needs.
- Support change management, training, and data literacy efforts.
- Guide and manage Regional Data Stewards to coordinate data stewardship at regional and market levels.
- Lead performance-driving, consumer-led brand building with the right message at the right time, optimized by data and technology.
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