Chief Data Architect

1 day ago

Kannur, Kerala, India beBeeMarketing Full time ₹ 40,00,000 - ₹ 50,00,000

Marketing Data Steward Lead

About the Role:

The successful Marketing Data Steward Lead will partner with global and regional leaders to analyze, document, optimize, and orchestrate enterprise data for marketing and consumer engagement.

  • Support the execution of an integrated data 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.

Applicants should have a Bachelor's degree in Computer Science, Business Analytics, or related field, with 5+ years of experience in large-scale data management and business transformation.

Preferred qualifications include expertise in marketing/consumer engagement data domains, 7+ years of experience in data analysis, architecture, management, quality, AI, or related disciplines, and experience managing diverse technical and non-technical teams in data projects.

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