Warsaw, Mazowieckie, Poland
Data-focused Product Owner leading Derivatives Data migration with a strong focus on data accuracy, quality checks, and gap analysis. Experienced in translating business needs into technical solutions, collaborating with stakeholders and Tech teams to ensure clean, reliable data delivery and reporting alignment.
- Lead governance-aligned data controls and quality initiatives across derivatives trading book data,ensuring trusted, compliant,and business-ready datasets across finance and risk domains. - Manage and mentor a team supporting data governance,migration, and quality control activities,driving delivery alignment,prioritization,issue resolution,and cross-functional execution. - Partner closely with data engineers, technology teams, finance, operations, and risk stakeholders to improve data integrity, standardize data flows, and strengthen governance adoption across global applications and platforms. - Translate business, operational, and regulatory requirements into actionable governance artifacts including user stories, workflows, ownership models, data controls, implementation roadmaps, and SDLC deliverables. - Conduct data quality assessments, gap analysis, and governance maturity reviews across datasets and processes, proactively identifying ownership gaps, consistency risks, dependencies, and process optimization opportunities. - Coordinate cross-functional data initiatives across global teams, ensuring alignment on architecture dependencies, implementation priorities, release planning, testing activities, and stakeholder sign-off. - Oversee governance-related delivery cadence across the SDLC, including requirements gathering, backlog prioritization, UAT coordination, defect tracking, release management, and implementation oversight. - Facilitate alignment between business and technical teams by clarifying data ownership, accountability, governance standards, and execution priorities across complex finance and risk ecosystems. - Collaborate with stakeholders to identify and remediate data quality issues, data gaps, and control weaknesses impacting downstream reporting, analytics, and regulatory processes.
- Analyze derivatives data to identify and resolve data gaps and quality issues, ensuring accuracy and consistency. - Conduct data quality checks to support seamless data migration and ensure compliance with business requirements. - Interpret corporate data requirements and translate them into user stories to enhance data accuracy, reporting automation, and analytics. - Work closely with technical teams to address data gaps and ensure business needs are translated into appropriate technical specifications. - Collaborate with stakeholders to understand data-related challenges and provide solutions for strategic data sourcing. - Manage the end-to-end Software Development Lifecycle (SDLC) from requirements gathering to deployment. - Prioritize and maintain the backlog in alignment with the deployment schedule. - Partner with implementation leads, release managers, and project managers to understand system dependencies, infrastructure, and data flows within Finance and Risk applications.
- Acted as liaison between team and stakeholders to refine the product and incorporate features based on market demands. - Partnered with IT and product leadership to drive and manage the solution development process and ensure the product team understands the direction and vision. - Collaborated with teams to discover and deliver the best solution to the market presented by the product team lead and the business. - Created and maintained the solution vision, roadmap, and backlog of work through the project's life cycle. - Translated features into user stories within the team’s backlog while managing, ranking, and prioritizing this backlog to reflect stakeholder’s requirements.