Capacity Planning Manager, Global Planning and Site Strategy (GPSS) - Amazon

Description Global Planning and Site Strategy (GPSS) team is part of the Payment Risk Operations (PRO). PRO helps stop bad actors from hurting our customers. GPSS team enables this by ensuring we have the right staffing for a 24x7x365 payments fraud prevention operation worldwide that covers all the products Amazon offers to our Buyers. To deliver on this vision the Global Planning and Site Strategy (GPSS) team is looking for an experienced candidate who will be able to contribute for the long term headcount planning. This candidate will take ownership of our planning for global staffing covering Amazon's largest workforce that helps mitigate fraud risk. The candidate will help define and deliver our long term planning output for staffing. We are looking for an analytically strong candidate with experience in handling large data sets, capacity planning, financial planning and program management skillset. This position requires a solution-oriented candidate with the knowledge of business growth drivers, head count planning, workforce management, statistical best practices, and an analytical mindset. The candidate must have the ability to work with diverse stakeholder groups to solve business problems and provide data-oriented solutions that are organized yet simple to understand. Data Management and modeling: The role will require to consolidate and review planning inputs and develop capacity plan. The incumbent supports creation of databases, creates reporting structures with analytic teams or develops them inhouse, and deep dives into cost and leadership reviews. The candidate is required to use mathematical and statistical models for developing scenarios, variances in plan and computation in the form of simple to complex excel/Python based models. Program Management: To execute the candidate interacts and drives discussions with multiple stakeholders across Payment Risk - Forecasting, Product, Machine Learning, Economists, Global Process Owners, Operations and Finance. The candidate will develop OPEX scenarios on planning that needs to be presented to Directors and Senior leadership to drive decision making via creation of business review or concept documents. Projects: Drive projects in operations process, planning efficiencies and scale across multiple functions within Payment Risk. Examples are idle time planning, compute production headcount ratios based on work-types. The candidate drives decision making at a PRO Director level and through the process brings out efficiencies in planning, productivity and cost. Key job responsibilities Effectively plan and execute capacity and headcount planning - Independently define analytical approach and metrics to track head count variance - Scale forecasting strategies and expand past immediate department - Create simple statistical adhoc models to enable decision making on staffing - Have a broad understanding of the data available in both traditional and non-traditional sources, allowing access to new levels of analysis - Work with data owners, production systems, or other authoritative sources to guarantee data fidelity (attrition, hiring, and headcount data) - Solve the most complex and ambiguous analytic projects for PRO related to HC forecasting - Comfortably and skillfully flex among various tools according to the problem and data - Derive recommendations from analysis that have impact on multiple teams and provide significant business value - Run basic regression methods (e.g., linear, logistic, basic time series) and identify opportunities to leverage more advanced modeling methods - Own the effective communication of metrics and analysis - Partner with forecasting and data science teams to influence the direction of data visualization platforms - Influence other teams to ensure deadlines are met; hold stakeholders accountable - Effectively manage and deliver assigned projects A day in the life 1. Review current gaps in capacity and headcount for the responsible functions and work with stakeholders to mitigate them 2. Work on excel or python based or similar tools to analyze patterns in site forecast, gaps in headcount measurement 3. Conduct and be present in critical meetings to drive stakeholders for delivering business solutions leveraging data 4. Work on incumbents project roadmap items on a day to day basis 5. Be a key voice when representing headcount and operational expense as drivers to business decision making during leadership forums About the team The current team is spread across US, India, Costa Rica, Canada. GPSS team manages planning and execution of ~3000 resources across 4 countries. The team works with Product, Machine Learning, Process owners, Operation leadership, Finance teams to optimize staffing and OPEX. Basic Qualifications - Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field - 3+ years of business analyst, data analyst or similar role experience - Experience partnering with executive-level leaders to identifying and solving business issues - Experience with SQL - Strong Analytical and Program management and analytical skills - Ability to manage different programs at a network level to influence and obtain buy-in, and then drive execution, analysis and achievement of the right results - Excellent written and verbal communication skills with understanding of Service Operations industry - Experience owning program strategy, end to end delivery, and stakeholder management Preferred Qualifications - Master's degree, or MBA in supply chain management, operations, engineering, analytics or related field - Understanding of Tools built in Python using Statistical concepts Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,900/year in our lowest geographic market up to $143,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.