
Hybrid Data Steward
21 hours ago
A boutique AI and data engineering firm, founded in 2018 and headquartered in Gurgaon, India, that empowers Fortune 1000 companies through AI-powered decision intelligence—especially in finance and supply chain transformation—delivering over US $2 billion in financial benefits while fostering a highly developed people-first culture
As the Marketing Data Steward Lead , you will be part of the Chief Data Office, directly supporting the Global Director of Enterprise & AI Stewardship and Delivery – Engage-to-Consume. 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.
Support execution of an integrated Data & AI stewardship strategy for Marketing and Consumer Engagement.
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.
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.
Orchestrate support for data issues across markets.
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.
Inform with Insights, Plan Engagement Ecosystem, Develop Experiences, Engage Consumers, Convert Across Connected Commerce.
Key data objects: Customer, Digital Assets, MRM, Sales, Insights.
Salesforce, DAM, CDP.
Skills & Experience Required:
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.
~ 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 (e.g., Collibra, Informatica, SAP, Microsoft Purview).
~ Experience with Master Data Management (e.g., SAP MDG).
~ Experience in the Consumer Products & Goods industry (preferred but not required).
~ Professional presence with experience presenting data strategies to senior leaders.
com or apply via LinkedIn job post.
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