Product Owner Data Platforms Development

Key Responsibilities

• 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.

Qualification & Requirements

• 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.

Benefits

No Information Available