Data Steward

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.