
Senior Marketing Data Analyst
1 day ago
This is a pivotal role that 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:- 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 (F.A.I.R. – Findable, Accessible, Interoperable, Reusable).
- 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.
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 (e.g., Customer, Digital Assets, Sales). 7+ years of experience in data analysis, architecture, management, quality, AI, or related disciplines. Familiarity with data modeling (conceptual, logical, physical) and data governance tools (e.g., Collibra, Informatica, SAP, Microsoft Purview).
We offer a dynamic and collaborative environment where you can grow your career and contribute to our success.
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