Data Product Lead/engineer

Greystar Australia Property Manager

London, United Kingdom
Data product definition & modeling
Stakeholder alignment & roadmapping
Backlog ownership & delivery
The Data Product Owner (DPO) is accountable for defining, governing, and evolving domain-aligned data products in alignment with Greystar’s data strategy

Job Summary

  • The Data Product Owner (DPO) is accountable for defining, governing, and evolving domain-aligned data products in alignment with Greystar’s data strategy.
  • Partnering closely with Data Engineers and Architects, this role ensures that data products built are architecturally aligned, properly modeled, governed, scalable, and usable across the organization.
  • The DPO will act as the primary point of contact for Line of Business (LOB) analytics teams, define roadmaps and priorities, translate business requirements into actionable data product features and enable self-service analytics by ensuring business teams can use curated data assets.

Matching Summary

The Data Product Owner (DPO) is accountable for defining, governing, and evolving domain-aligned data products in alignment with Greystar’s data strategy.

Skills & Requirements

Must-have

  • Data Product Definition & Modeling
  • Stakeholder Alignment & Roadmapping
  • Backlog Ownership & Delivery
  • Data Quality & Governance Enforcement
  • Advanced SQL proficiency
  • working Python knowledge
  • dimensional modeling and normalization concepts

Nice-to-have

  • Agile methodologies experience
  • translate between business and technical audiences
  • modern data platforms and tools familiarity
  • enterprise data governance and quality frameworks familiarity

Key Requirements

  • 5+ years in Data Product, Data Architecture, Analytics Engineering, or Data Engineering-adjacent roles
  • Strong organizational skills
  • Agile methodologies experience
  • Excellent communication and stakeholder management skills
  • Advanced SQL proficiency
  • working Python knowledge
  • Strong understanding of dimensional modeling and normalization concepts
  • Experience with batch ETL design patterns and schema evolution strategies
  • Familiarity with modern data platforms and tools
  • Familiarity with enterprise data governance and quality frameworks

Work Rights

Not specified

Tailored Resume

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