Product Owner Data Observability
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 and strategy for the organization's Data Observability product. The product owner is accountable and responsible for defining feature roadmap and making sure this is connected to the epics and outcomes (impact & value).
The Product Owner of Data Observability is responsible for defining, developing, and managing the data observability product and strategy within the organization. This role is pivotal in ensuring data systems, pipelines, and models are monitored, traceable, and optimized for reliability and performance including operational cost. The Product Owner will work closely with data engineering, data operations, and business teams and they will prioritize and drive initiatives that enhance the transparency, monitoring, and overall health of the data ecosystem. Product Owner will enable the organization to proactively detect, diagnose, and resolve data issues throughout the data lifecycle.
Your responsibilities would include:
• defining and delivers business value e2e: creates Product’s vision, owns the product, ensures that the product evolves in alignment with business goals and data management strategies
• contract 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 strives to understand and reflect it in product roadmap and design
• stakeholders’ connection: engages with key business stakeholders (e.g. data analysts, solution architects, business units) to gather and define requirements for the data dictionary. Manages expectations and provide regular updates on progress
• owing and managing Product Backlog: reflects requirements in User Stories prioritizes features and ensures successful execution of data dictionary-related initiatives
• service delivery: ensures 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:
• Bachelor/master's degree in Computer Science or similiar
• 10 years of relevant in the data related field
• proven experience as a Product Owner, Product Manager, or similar role, preferably in data-related products
• deep understanding of data observability tools, technologies, and practices, including experience with data monitoring, data quality, and data lineage solutions (e.g., Monte Carlo, Datafold, Great Expectations)
• experience with monitoring frameworks for data systems, pipelines, and models, ensuring end-to-end visibility and traceability
• strong experience in data engineering, data pipeline architecture, and related tools (e.g., Databricks, Apache Kafka, Apache Airflow) to understand and monitor data flows and performance
• familiarity with data quality frameworks and approaches to ensure accurate, reliable, and high-quality data
• strong experience in managing product backlogs, defining requirements
• experienced in working with Agile 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.
You are a perfect match if you also have:
• familiarity with data observability tools and systems
• good knowledge of data governance frameworks and standards
• process management and risk management
• very strong interpersonal skills
• ability to manage and liaise various groups of stakeholders.
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