Job Location : Seattle,WA, USA
8+ years of experience in Analytics, Data Science, Business Intelligence or other quantitative disciplines and familiarity with probability, probability distributions, statistics and causal inference.
5+ years of experience working cross-functionally to implement new solutions and concepts.
4+ years of analytical people management experience.
Track record of influencing senior executives.
Experience leading large scale complex programs with proven results.
Demonstrated experience developing successful analytics-based solutions to business problems.
Success in any organization begins with its people and having a comprehensive understanding of our workforce and how we best utilize their unique skills and experience is paramount to our future success.
AWS is looking for an exceptional Workforce Planning Leader with a strong delivery record in bringing together diverse, cross-functional teams to drive an integrated Workforce Planning Go-To-Market (GTM) plan that will support empowering leaders to make long-term decisions on the size, composition, and cost of their organizations, with a focus on embedding all capabilities seamlessly into the existing rhythms of the business. This leader will partner with our key stakeholders across finance, HR, Ops to advance the workforce planning capability for the company.
This leader will also have depth in building and managing a team of highly talented applied and data scientists, business intelligence engineers and analysts with expertise in employing workforce and human behavior insights, operations research and machine learning techniques to build models and algorithms that enable the acceleration of revenue growth, improved operational efficiencies & delivery through a workforce plan of optimized size, skill, level, and geography in service of predictably accelerating product innovation, and enhancing the customer experience.
Key job responsibilitiesStrategic Analytics & Consultative Guidance:
Project Management: Manage analytical projects by leveraging agile methodologies to partner across business functions, meet deliverables, and actively champion solution adoption across the business.
Requirements Gathering: Conduct interviews with key business stakeholders to translate business objectives into analytical project deliverables to realize business goals.
Data Preparation: Write high quality code and organize data structures to efficiently drive scalable workflows and analyze data.
Data Governance: Develop, maintain and perform processes to continuously monitor data quality and integrity.
A day in the lifeIn this role, you will be responsible for developing and executing the business strategy, tracking the efficacy of plans across the business to drive sustainable growth within and beyond the current fiscal year. You will lead the definition and orchestration of strategic go-to-market (GTM) plans, leveraging machine learning to map enterprise strategies into actionable delivery plans. This will guide data-driven business decisions, enabling you to predict outcomes, understand complex data relationships, and develop quantitative return on investment analyses. Additionally, you will be tasked with sponsoring and implementing optimization tactics, such as process reengineering, analytical solutions, and resource/skills solutions, to maximize efficiency across delivery groups.
You will recruit and set the vision and direction for a high quality, creative and results driven data science team. You will play a key role on the leadership team that is influencing the long-range plans for the business and technical agenda that will support it and you will work closely with the business and technology teams.
About the teamOur 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.
Why AWSAmazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life BalanceWe 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.
Inclusive Team CultureHere at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career GrowthWe'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.
Diverse ExperiencesAWS 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.
Minimum QualificationsAmazon 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 here.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $175,200/year in our lowest geographic market up to $302,900/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 here.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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