Product Owner - Predictive Execution & Operations Modeling

Strategy & Roadmap for Optimization Solutions

• Build in alignment with other streams owners product roadmap for operations research solutions, ensuring alignment with business goals
• Translate business challenges into mathematical optimization problems and drive their implementation
• Identify opportunities for automation, process optimization, and decision support using advanced analytics

Team Leadership & Project Execution

• Lead a team of Operations Research and Machine Learning Associates, ensuring clear objectives and priorities
• Oversee multiple concurrent projects related to optimization, simulation, and decision support
• Ensure efficient project delivery and stakeholder alignment, balancing technical feasibility and business needs
• Collaborate with Engineering and Data teams to develop scalable solutions and integrate them into operational systems

Stakeholder Engagement & Communication

• Act as the primary bridge between the Operations Research team and business stakeholders (Operations, Supply Chain, Last Mile)
• Gather requirements, validate business constraints, and ensure solutions deliver measurable impact
• Effectively communicate technical insights in a non-technical manner to drive adoption of data-driven decision-making

Data-Driven Decision Making & Model Validation

• Work closely with Data Science and Engineering teams to validate models, assess performance, and iterate based on real-world results
• Define and monitor key KPIs for optimization solutions, ensuring continuous improvements
• Support the development of A/B testing frameworks for new decision-support models

• 3+ years of experience in product management, operations research, data science, or a related analytical field
• Strong understanding of mathematical optimization, simulation modeling, and operations research methods (LP, MILP, Constraint Programming)
• Proven experience in leading cross-functional teams and managing data-driven projects
• Ability to translate complex mathematical problems into business solutions
• Strong stakeholder management skills – ability to align technical teams and business leaders
• Analytical mindset with a data-driven approach to decision-making
• Experience with Agile methodologies (Scrum, Kanban) and working in a fast-paced environment
• Basic familiarity with Python or optimization tools is a plus, but coding expertise is not required

• Lead cutting-edge optimization projects with real-world impact
• Work in an international, fast-scaling company
• Autonomy to innovate and drive data-driven decision-making
• Opportunity to grow within a data-driven product leadership role
• Competitive salary, career development, and ongoing learning opportunities