Chief Marketing Data Architect

6 days ago

Bellary, Karnataka, India beBeeAnalytics Full time ₹ 1,44,00,000 - ₹ 1,92,00,000
Marketing Data Governance Expert

The successful candidate will play a pivotal role in the Chief Data Office, directly supporting the Global Director of Enterprise & AI Stewardship and Delivery – Engage-to-Consume. This key position 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.
Strategic 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).
Enabling Analytics Capabilities:
  • 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 Collaboration & Regional Support:
  • 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.

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