Chief Data Governance Officer

2 days ago


Anand, Gujarat, India beBeeDataGovernance Full time ₹ 20,00,000 - ₹ 25,00,000

At our organization, we are looking for a Data Governance Professional to join our team. As the Data Steward Lead, you will be part of the Chief Data Office, directly supporting the Director of Enterprise & AI Stewardship and Delivery. 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.

Job Description
  • Support execution of an integrated data 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.

The ideal candidate will have a strong understanding of data governance, quality, and metadata management principles. They should be able to communicate technical solutions to business stakeholders and possess strong analytical skills with attention to detail.



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