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Data Product Lead

Job in Austin, Travis County, Texas, 73301, USA
Listing for: Floating Dots
Full Time position Listed on 2026-11-13
Job specializations:
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR

Job Description & How to Apply Below

Our client, a large international group, is rolling out a new data strategy within its Global Business Services (GBS) organisation. We are looking for a Senior Consultant / Data Product Lead to steer the operational rollout of this strategy. You will act as a driving force: bringing initiatives together, engaging senior stakeholders across entities, identifying the core data platforms and delivering tangible data products that will be made available across the group through an enterprise data marketplace
.

Key Responsibilities
  • Lead workshops and steering sessions with key stakeholders across entities to identify business use cases and capture pain points.

  • Map and structure the core platforms and establish clear Master Data ownership and architecture.

  • Define, scope and package end-to-end Data Products (governed, high-quality, ready-to-use data sets) for distribution across group entities.

  • Carry out gap analyses and build realistic roadmaps and delivery timelines for the identified data candidates.

  • Drive change management, overcome resistance with assertiveness and promote data democratisation across the organisation.

Requirements
  • Senior profile with solid consulting and project leadership experience in large, matrixed organisations.

  • Strong knowledge of Master Data Management (MDM),
    Data Product life cycles and Data Marketplace concepts.

  • Proven ability to translate high-level strategy into actionable operational roadmaps.

  • Excellent communication, diplomacy and assertiveness, with the ability to navigate political and organisational challenges.

  • Fluent English, written and spoken.

Nice to Have
  • Experience with data governance frameworks and data catalogue / marketplace tools.

  • Experience in shared services / GBS environments.

  • Familiarity with modern data platforms (e.g. Databricks, AWS).

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