product manager for data products

Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services. It helps enterprise companies solve complex technical challenges and achieve business outcomes during business transformation.

• Define a 12–24-month vision, value hypotheses, and positioning for EMEA data products;
• Maintain an outcome-based roadmap aligned with enterprise standards and local needs;
• Convert outcomes into prioritized epics and stories;
• Lead refinement and planning;
• Uphold DoR and DoD;
• Balance features with reliability, observability, cost, and sustainability;
• Establish VIPs, KPIs, and OKRs;
• Run quarterly value reviews and update the roadmap based on evidence;
• Embed privacy, security, quality, and lifecycle controls into every increment;
• Ensure GDPR compliance and data residency adherence;
• Maintain versioned schemas and data contracts;
• Define business rules and semantic layers for interoperability across domains;
• Reuse enterprise platforms, patterns, and reference architectures;
• Drive reusability and scale across markets while meeting country-specific requirements;
• Communicate clearly at all levels;
• Manage dependencies and risks;
• Prepare business cases, Investment Board inputs, release notes, and adoption communications;
• Triage issues and lead root-cause analysis;
• Prioritize preventative fixes;
• Plan releases and change controls;
• Coordinate rollbacks and hotfixes where needed;
• Publish documentation, examples, and learning paths;
• Champion catalog discoverability, access requests, and community channels;
• Own product budgets and forecasts;
• Track benefits realization and ROI;
• Report performance and outcomes to sponsors and Finance partners;
• Partner with global product, platform, and architecture teams to align roadmaps;
• Share learnings and represent EMEA needs and impact.

• Bachelor’s degree in Business, Computer Science, Engineering, or a related field;
• 7–10+ Years of experience across product management or ownership, data platforms, analytics, or digital strategy;
• Proven success delivering data products from concept to scaled adoption;
• Strong understanding of data privacy, GDPR, regulatory frameworks, security, and AI ethics;
• Practical understanding of ELT/ETL, event streaming, data modeling, semantic layers, and production operations;
• Expert backlog management, story writing, acceptance testing, and agile delivery at scale using Scrum or Kanban;
• Excellent communication and facilitation skills;
• Ability to influence executive, technical, and non-technical audiences;
• Technical fluency and eagerness for continuous learning in Data & AI capabilities and products;
• Nice to have: Medtech, pharma, or consulting experience; a data product mindset.

• Competitive salary;
• Flexible schedule;
• Medical insurance;
• Sports benefits;
• Corporate social events;
• Professional development opportunities;
• Well-equipped office.