The Data Product Owner 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.

Job 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.

Our expectations:

• 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

We offer:

• Great opportunity to take part in the development of a growth- and innovation-driven company and build its future.

• Dynamic work in a rapidly growing international company with personal development possibilities.

• Professional team with various international backgrounds to collaborate.

• Opportunity for career development.