Head of Data Product - Lead Data Product & AI Strategy

Betclic Group

Bordeaux

Hybrid

EUR 120,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Hybrid work model
Training catalogue access
25 days paid leave
10 RTT days
Office rooftop with city view

Job summary

Betclic Group is seeking a Head of Data Product in Bordeaux to lead a growing team of Data Product Owners and coordinate cross-functional collaboration with Data Scientists, Data Engineers, and business leaders. You will drive the end-to-end lifecycle of data products and align them with strategic business objectives.

The role requires strong leadership, stakeholder management, and a solid understanding of data platforms and analytics.

Qualifications

  • Proven experience leading data product management or product management for data-driven products.
  • Experience coaching and developing a team of Product Owners or similar professionals.
  • Fluent in English and able to communicate with multiple stakeholders across the business.
  • Strong understanding of data platforms, analytics and data products.
  • Experience with dashboards, data pipelines, APIs and visualization tools.

Responsibilities

  • Lead and develop a growing team of Data Product Owners.
  • Set clear objectives and coordinate capacity across the team.
  • Oversee end-to-end lifecycle of Data Products from discovery to adoption.
  • Shape and communicate the vision and strategy for Data Products.
  • Coordinate with Data Science and Data Engineering teams and manage dependencies.
  • Define success metrics and track adoption and quality of data products.

Skills

Leadership
Data product management
Agile / SDLC
Stakeholder management
Communication
Prioritisation

Tools

Amplitude

Job description

Betclic Group is seeking a Head of Data Product in Bordeaux to lead a growing team of Data Product Owners and coordinate cross-functional collaboration with Data Scientists, Data Engineers, and business leaders. You will drive the end-to-end lifecycle of data products and align them with strategic business objectives.

The role requires strong leadership, stakeholder management, and a solid understanding of data platforms and analytics.

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