Product Owner Data Platforms Development

Digital & Technology Team (D&T) is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our processes, ensuring best-in-class technology, and embedding a data-driven culture. By joining us you will work in one of the most dynamic and innovative teams and have a direct impact on building the future of Heineken!

Would you like to meet the Team, see our office and much more? Visit our website: Heineken (heineken-dt.pl)

This role is a part of the Data Management Department, Digital & Technology Global Team (D&T) of HEINEKEN International.
Its purpose is to define and drive the vision, strategy and execution for the organization's Data & Analytics Platform technology and capability. The product owner is accountable and responsible for defining data platform feature roadmap and making sure this is connected to the analytics & data needs of the platform customers at our OpCos and Global Functions (impact & value).

The Product Owner Data Platforms Development is responsible for owning and evolving the technology stack that powers HEINEKEN’s data & analytics platforms, ensuring scalability, security, and (cost) efficiency across the organization. This role drives the development and optimization of Databricks & Azure-based data solutions, integrating cutting-edge technologies to support data ingestion, processing, storage, and analytics. While primarily focused on enabling the Data Engineering teams at the Data Management Department, Global Data science & AI and our regional Hubs, the scope extends beyond, influencing the broader HEINEKEN technology landscape by setting standards, ensuring interoperability, and fostering innovation. The role includes close collaboration with our technology suppliers and development partners, ensuring standardization of technology patterns, developing tech skills across the teams and drive platform adoption. By aligning platform capabilities with business needs, the Product Owner plays a critical role in HEINEKEN’s data-driven transformation.

Your responsibilities would include:

• defining and delivering business value e2e: creating Product’s vision, owns the product, ensures that the product evolves in alignment with business goals and data management strategies.
• contracting management: collaborating with technology vendors and 3rd party partners on their technology roadmaps to meet future demand and optimize the service delivery
• representing “the voice of the customer” and striving to understand and reflect it in product roadmap and design
• connecting with stakeholders: engaging with key business stakeholders (e.g. data analysts, solution architects, business units) to gather and define requirements for the data dictionary. Managing expectations and provide regular updates on progress
• owning and managing Product Backlog: reflecting requirements in User Stories prioritizes features and ensures successful execution of data dictionary-related initiatives
• service delivery: ensuring the delivered solution is consistent with the requirements, verifies the product increment against the plan and oversees the quality of implementation.
• working closely with the Product Team, Chapter Lead and Scrum master to ensure alignment on priorities, processes, and resource allocation
• working closely with the relevant Architects to ensure alignment on solution development, scalability, robustness and security that is within the right architectural guidance
• maintaining awareness of emerging technologies, industry trends and best practices and evaluate them for applicability.

You are a good candidate if you have:

• a Bachelor/Master's degree in Computer Science or similiar
• 10 years of experience in relevant in the data related field
• proven experience as a Product Owner, Product Manager, or similar role, preferably in data-related products
• a strong understanding of cloud-based data platforms (e.g., Azure, AWS, GCP), Lakehouse architecture, data engineering, data modelling and data architecture principles
• a strong understanding of Data Management, Data security and Data governance principles
• proven experience in delivering current data & AI technologies from Databricks, SAP, Microsoft and AWS
• a strong understanding of data architecture principles, including data modeling, ETL/ELT pipelines, streaming & batch processing, and data warehousing
• a strong experience in managing product backlogs, defining requirements
• hands-on experience with Agile methodologies, backlog management, and working in cross-functional teams
• excellent analytical skills: ability to identify opportunities, assess needs, and define solutions that meet business goals
• strong problem-solving focus, balancing short-term needs with long-term strategic objectives
• ability to think critically and prioritize effectively in a fast-paced environment proven ability to connect and develop the right stakeholder network to ensure requirements and product development delivers the right business value.

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