Product Owner Data Observability

Key Responsibilities

• 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.

Qualification & Requirements

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.

Benefits

No Information Available