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Description

Success in any organization begins with its people. Having a comprehensive understanding of our workforce and how we best utilize their unique skills and experience is paramount to our future success. As part of the Amazon-wide Amazonian Leadership Experiences (SLX) team, the Senior Leadership team’s mission is to build workforce planning application suite. We develop philosophies, mechanisms and products that guide leaders to inspect and make data-driven decisions to improve their organizational operating models, and plans to guide their outlook year for workforce composition

SLX is looking for an exceptional Sr Technical Program Manager with strategic expertise and a strong delivery record in building trust and delivering results to the business to advance adoption and effective use of Workforce Planning(WFP) across Amazon. Moreover, this role will work in partnership with the core SLX Work Force Planning (WFP) team that requires thought leadership to advance WFP capability across Amazon. This individual has proficiency in employing workforce insights, strong business operations fundamentals and good judgement. This individual will also provide thought leadership and program management against current and future technical capabilities and programs that enable the acceleration of revenue growth, improved operational efficiencies & delivery. Ultimately, the individual will be responsible for a program level effort to enable optimized workforce size, location and level in service of predictably accelerating product innovation, and enhancing the customer experience at acceptable cost. If you enjoy leading strategic programs, working in a fast-paced dynamic environment and being challenged by new problems, we’d like to speak with you!

Key job responsibilities

* Work directly with senior leaders in the Workforce Planning team, while partnering with Finance, HR and business leadership to manage creation of tools and processes that support the one- and three-year workforce plans in cadence with Amazon’ operational cycles

* Earns trust with internal stakeholders and customers, and develops collaborative solutions that create measurable economic impact within Amazon.

* Leverage deep knowledge of workforce planning methodologies, data sources, and practices. Applies this technical knowledge to invent, evolve, improve, and simplify.

* Drive large-scale workforce planning programs that solve significantly complex or endemic problems.

* Consistently bring strong, data-driven business and technical judgment to decisions.

* Recognize when designs/solutions require additional technical guidance (e.g., from senior practitioners or subject matter experts).

* Advocate for and guide workforce programs. Influence teams to dedicate resources, and lead the effort (or finds appropriate owner).

* Capture the right metrics to influence stakeholders and measure success.

* Occasional travel to internal meetings and fact-finding sessions.

A day in the life

As a Sr TPM within Amazon, you will partner across the WFP team to set the vision and direction for a high-quality workforce. You will play a key role on the Workforce Planning Science, Tooling and Inspection sub-teams that influence the long-range plans of the business and the technical agenda that supports it. You will influence tools and programs serving senior leaders globally and impacting Amazon’ future.

The ideal candidate has a strong sense of ownership, is self-driven, loves breaking new ground. You will bring a mix of experience including complex senior stakeholder management, cross-functional collaboration, strategic planning, operational planning, and process improvement.

About the team

Our team communicates who we are as an employer – what it’s like to be an Amazonian, why we love innovating on behalf of customers and why people should join us. We build trust with our partners, dive deep into our data, and love to learn and be curious as we deliver results. Our job is to bring that to life.

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face.

Basic Qualifications

- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience

- Master's degree or above in math/statistics/engineering or other equivalent quantitative discipline, or a Associate's degree or above and experience with data analysis package (R, SAS, Matlab, etc.)

- Experience with analytical tools and ability to dive deep into metrics and reporting

- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers

- Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment

- * Experience setting technical requirements for process automation

Preferred Qualifications

- Experience engaging and influencing senior executives, demonstrating a strong familiarity with decision-making processes in enterprise customers

- Experience in solving business problems through machine learning, data mining and statistical algorithms

- * Excellent communication skills, both verbal and written (ability to present detailed technical analysis, assumptions, and recommendations succinctly)

- * Experience with making large scale optimization and predictive models

- * Meets/exceeds Amazon’s leadership principles requirements for this role

- * Meets/exceeds Amazon’s functional/technical depth and complexity for this role

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,900/year in our lowest geographic market up to $231,400/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.