
Data Steward
4 weeks ago
We are hiring for Data Steward Lead
About the client
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
Key Responsibilities:
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.
Leadership & Execution of Stewardship Initiatives:
- 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.
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 & Experience Required:
Minimum 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.
Preferred Qualifications:
- 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).
- Strong communication and stakeholder management skills.
Desired Traits
- Self-starter with business acumen and understanding of organizational challenges.
- Ability to communicate technical solutions to business stakeholders.
- Entrepreneurial, collaborative, and adaptable.
- Skilled at understanding cultural and emotional blockers to change.
- Professional presence with experience presenting data strategies to senior leaders.
- Strong analytical skills with attention to detail.
Interested candidates can apply by sharing their resume at or apply via LinkedIn job post.
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