• Collaborate closely with product management, engineering, architecture, and external stakeholders to define success criteria and business impact through data-driven insights. • Leverage this understanding as work is prioritized to ensure delivery of the highest priority initiatives. • Drive the design, development, and deployment of AI-powered forecasting, allocation, and fulfillment solutions. • Ensure integration of data science models into merchandising and supply chain workflows to optimize inventory flow, minimize excess, and maximize product availability. • Ensure comprehensive project planning, including detailed budgets, milestones, deliverables, resource allocation, dependencies, and risk mitigation strategies, while remaining flexible to adapt plans based on evolving business needs and real-time data. • Provide a consistent model and clear expectations for budget management from initial forecasting, to tracking of actuals, and proactively identify and address any deviations from the plan. • Inspire and lead cross-functional teams through evolving project challenges, including scope, schedule, and cost changes, by fostering clear communication, continuous alignment, and collaborative problem-solving. • Develop and execute proactive, actionable risk management plans, ensuring early identification of risks and collaborative resolution, driving successful outcomes with minimal disruption. • Foster a culture of collaboration and partnership across cross-functional teams, business stakeholders, and executives, enabling accelerated development and value delivery. • Promote open, honest communication to identify challenges and co-create impactful solutions that drive consumer value. • Identify and engage key stakeholders to ensure their voice is integrated into program decision-making, fostering alignment across departments and maximizing the impact of each initiative. • Lead teams through ambiguity and complex challenges with clarity, resilience, and a focus on innovative solutions. • Apply principled decision-making frameworks with consistency and rigor to drive success in dynamic environments. • Develop standard reporting and metrics to provide real time visibility to the project as well as team health. • Track, report, and communicate measurable business outcomes resulting from program delivery. • Leverage agile best practices within Product Management, Engineering, Marketing and Business Development to optimize cross-team and cross-organizational collaboration and communication.