Senior Director Global Resource Allocation Product Owner

Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap. Enterprise-Level Impact: Lead a transformative, data-powered resource allocation platform used by global business units and bottlers. Vision & Delivery Leadership: Shape strategy, drive Agile execution, and steer cross-functional teams across product, data, and change. Exec-Level Alignment: Influence C-suite stakeholders and lead organizational adoption of a critical strategic capability. Why Join Us: System-Wide Transformation: Oversee a flagship enterprise platform that enables data-driven decision-making across global markets. High-Visibility Leadership: Engage regularly with VP and SVPlevel leaders to align product roadmap with enterprise priorities. Best-in-Class Practices: Establish standardized product methodology, agile workflow, and global governance to scale adoption and performance. Key Responsibilities: Own the strategic vision and global roadmap for the enterprise resource allocation platform, aligning innovation with measurable business value. Translate system-wide priorities into clear objectives for product development, maintaining executive support via governance forums. Lead Agile development teams and oversee product evolution from MVP to fully scaled global solutionensuring usability, stability, and adoption. Guide modeling engine design and data governance, in collaboration with data science teams, to deliver optimized financial and marketing analytics. Manage change adoption across global markets, including training programs, stakeholder engagement, and rollout initiatives. Build and lead cross-functional teams encompassing product management, data strategy, change management, and community practice. Qualifications: 810+ years in product management, with at least 5 years in leadership roles managing enterprise products. Proven ability to scale platform solutions in enterprise SaaS, tech, or analytics environmentsespecially using AI/ML-driven tools. Strong technical understanding and experience collaborating with engineering, data science, and analytics teams. Track record in stakeholder engagement at senior levels and driving execution across matrixed, system-wide environments. Skilled in Agile delivery, product roadmap planning, change management, and driving product adoption at scale. Bachelors degree in Business, Data Science, Computer Science, or related field required; masters or certifications (e.g. PMP, Prosci) preferred.