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Chief Data Architect

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Job Description

We are seeking a Data Steward to spearhead our marketing data initiatives.

  • Lead the execution of an integrated data and analytics 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.
Required Skills and 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.
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.