Senior Product Owner, Fractal

• 10–15 years of experience in product management, with at least 3–5 years in a Product Owner or Senior Product Manager role
• Hands-on exposure to food science, formulation, R&D processes, or working closely with such teams
• Proven ability to lead cross-functional product teams in an Agile environment
• Strong experience in client-facing roles, managing expectations, leading demos, and influencing at senior levels
• Ability to communicate fluently with technical and data teams—knowledge of APIs, data structures, modeling approaches, and software delivery cycles
• Proficiency with tools like JIRA, Confluence, Figma, Tableau/Power BI, and product analytics platforms
• Excellent communication and facilitation skills
• High ownership, collaborative mindset, and ability to work in ambiguous, fast-changing environments
• Comfort working across time zones and teams, especially in global or distributed settings

Desirable

• We are seeking a seasoned Senior Product Owner to lead the development and evolution of data-driven solutions in the food science and R&D domain
• This is a client-facing leadership role combining deep domain knowledge, exceptional stakeholder management, and a strong grasp of digital product lifecycles
• The ideal candidate brings hands-on experience in food science or food R&D, is fluent in data-driven product development, and thrives at the intersection of business, science, and technology
• Define and own the product vision, strategy, and roadmap for food innovation and R&D platforms
• Prioritize features, enhancements, and technical debt across multiple workstreams using Agile/Scrum methodologies
• Collaborate with cross-functional teams (engineering, UX, data science, domain SMEs) to drive product development
• Leverage past experience in food science, nutrition, formulation, or R&D to guide feature development and solution design
• Translate complex scientific workflows into scalable digital solutions that improve speed, accuracy, and collaboration in R&D environments
• Serve as the primary point of contact for client stakeholders, balancing business goals with scientific integrity and user needs
• Facilitate discovery workshops, requirement-gathering sessions, and regular product reviews
• Drive adoption and value realization through proactive relationship management
• Partner with data scientists and engineers to integrate predictive modeling, analytics, and machine learning into the product roadmap
• Translate R&D and operational use cases into data-driven features
• Ensure data pipelines and interfaces support both product goals and client insights needs

• End Date: November 30, 2025