Data Product Owner

The Data Product Owner (DPO) plays a key role in defining developing and delivering the new analytics platform that will integrate data across our regions. The role is responsible for translating business needs into clear data product definitions ensuring that the platform delivers trusted consistent and high-quality data to power performance reporting insights decision-making and innovation across the company.

The DPO leads the development of data products by business domain (e.g. Commercial Finance Marketing) ensuring alignment between business stakeholders data engineering and analytics teams. Acting as the bridge between business context and technical execution the DPO ensures that each data product from raw ingestion (Bronze) to curated models (Silver and Gold) meets clear business objectives governance standards and quality expectations.

By applying product thinking to data the DPO ensures the platform evolves as a living ecosystem of reusable well-documented and high-impact data assets that support Entains strategic and operational goals.

Key Responsibilities

Data Product Ownership

• Define and maintain the roadmap for data products within assigned domains (e.g. Commercial Finance Marketing) ensuring alignment with business priorities.
• Translate business requirements into clear data product definitions and data contracts for each layer of the data platform (Bronze Silver Gold).
• Partner with data engineering to design and deliver scalable reliable data pipelines and models that meet agreed service levels and performance targets.
• Own the intake and delivery of requests for new or expanded data coordinating technical team ensuring stakeholder needs are captured prioritised and delivered through governed data products while safeguarding a single source of truth.
• Ensure data products are discoverable well-documented and reusable across regions and business units.

Data Governance & Quality

• Define and enforce quality expectations validation rules and freshness SLAs for data products.
• Ensure each dataset has clear ownership metadata and lineage documented in the data catalogue.
• Work with governance teams to maintain a single source of truth and standardised metrics across regions.

Cross-Functional Collaboration

• Work closely with regional analytics engineering and commercial teams to prioritise data needs and coordinate delivery.
• Align data producers and consumers (BI Finance Marketing) so models underpin trusted reporting and communicate priorities/progress to senior stakeholders.
   

Strategy & Continuous Improvement

• Support the creation of a data platform that scales across multiple regions and domains while remaining modular and adaptable.
• Drive adoption of best practices in data modelling metadata management and semantic layer development.
• Continuously improve documentation processes and communication between data and business teams.

Competencies & Behaviours

• Strategic thinker with a strong product mindset focused on delivering business value through data.
• Excellent communicator able to explain technical data concepts in clear accessible language.
• Highly collaborative able to align diverse teams across regions functions and technical disciplines.
• Organized and proactive capable of prioritizing competing demands and managing multiple roadmaps.
• Detail-oriented ensuring high standards of data quality documentation and governance.
• Comfortable working in an evolving environment building from foundation to scale.

Qualifications :

• Proven experience in data product ownership data management or analytics product development.
• Strong project management skills with the ability to coordinate multiple teams and provide clear structure and transparency on project progress.
• Expert-level proficiency of data modelling concepts (conceptual logical physical) and modern data architecture (Bronze/Silver/Gold layers dbt semantic layers).
• Hands-on familiarity with data transformation tools (e.g. dbt) SQL and modern data platforms (Snowflake BigQuery Databricks etc.).
• Strong knowledge of business domains such as Commercial Finance or Marketing with the ability to translate business logic into structured data models.
• Experience defining and maintaining data contracts SLAs and governance standards.
• Excellent stakeholder management and communication skills with the ability to bridge technical and non-technical audiences.
• Strong working knowledge of distributed data ownership and data mesh principles.
• Background in analytics data engineering or BI development preferred.
• Fluency in English

Additional Information :

At Entain we know that signing top players requires a great starting package and plenty of support to inspire peak performance. Join us and a competitive salary is just the beginning. Working for us in the London you can expect to receive great benefits like:

• Generous group bonus scheme
• Hybrid working - 2 days in the office
• Private medical insurance
• Pension scheme matched to 6%
• Ability to buy and sell holiday
• Free subscription to wellbeing app Unmind
• Additional Its Your Game day off to use at either Christmas or New Year
• Entain & Enhance days 2 paid days off to focus on your professional or personal development
• Share save scheme

And outside of this youll have the chance to turn recognition from leaders and colleagues into amazing prizes. Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves. 

Should you need any adjustments or accommodations to the recruitment process at either application or interview please contact us.

At Entain we do whats right. Its one of our core values and thats why were taking the lead when it comes to creating a diverse equitable and inclusive future - for our people and the wider global sports betting and gaming sector. However you identify our ambition is to ensure our people across the globe feel valued respected and their individuality celebrated. 

We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate ensuring ethical and compliant hiring practices globally.

Remote Work :

No

Employment Type :

Full-time