At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. WW Selling Partner Support (SPS) is focused on making Amazon the safest and most trusted company on earth for customers, brands, and selling partners and the best place to build a successful business.
Selling Partner Support (SPS) Finance team is looking for a Program Manager to join the Forecasting & Planning Research (FPR) team. You will assume primary responsibility for driving new innovation for global forecasting and headcount/capacity planning. The ideal candidate will possess both an analytical background that enables them to standardize methodologies and data to develop and successfully implement tools, systems and processes that empower the accurate prediction, measurement and reporting of demand forecasting, productivity, headcount, capacity and workforce compliance/adherence. In this role, you will experience a wide range of problem-solving situations, strategic to real-time, requiring extensive use of data collection and analysis. You will be responsible for the long-term product strategy and product integration which are on the team's roadmap. You will drive quarterly business reviews across SPS to promote FPR’s work, increase stakeholder engagement, onboard new customers and provide a platform for leaders to review advancements made by FPR. You will work with data scientists & analysts on the FPR team to translate business requirements, research new algorithms and innovations in the field of data science and machine learning, build conceptual and shadow design of the final product and plan for product implementation.
Key job responsibilities
• Develop strong relationships and partnerships with internal and external SPS customers.
• Fully define project scope and deliverables; stakeholders & project resources; gather, analyze, and prioritize customer and program requirements
• Document constraints, dependencies, and assumptions
• Define project success measures, timelines and milestones; drive project schedules and manage implementation of the tool or process
• Clearly communicate goals, roles, responsibilities, and desired outcomes to internal cross-functional and remote project teams; identify criteria for decision making and priorities
• Create & maintain project documentation such as project plans, functional requirements and specifications, gap and dependency analyses, risk analyses, project briefs, and periodic reports
• Engage directly with key resources to proactively identify, analyze, and creatively solve initiative blockers
• Drive a rigorous and proactive cadence of analysis and reporting, keeping stakeholders well informed and engaged in key decisions
• Develop and manage plans and roadmaps that successfully deliver promised results
• Develop metrics to measure and ensure solution effectiveness
• Remove obstacles and work towards consensus
• Deliver projects with documented process workflows, data maps, standards & guidelines and sustainment plan
• Have good working relationships with stakeholders, managers, and peers. You recognize discordant views and take part in constructive dialogue to resolve them
• Have basic proficiency in SQL & python to run & manage existing automated scripts
• Have advanced proficiency in Excel
About the team
Selling Partner Support (SPS) provides services and solutions aimed at protecting our customers from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of selling partners.
Forecasting & Planning Research (FPR) team in SPS is responsible for estimating the potential future risk on the Amazon platform and its stores using state of art machine learning algorithms and is responsible for translating those estimates into the investigator headcount requirement in each country. The team consists of Data Scientists, Business Intelligence Engineers, Business Analysts and Program Managers.
- 3+ years of program or project management experience
- Experience in a highly analytical, results-oriented environment with cross functional interactions
- Experience with SQL
- Experience in data mining
- Knowledge of Lean principles and DMAIC methodology