Sr. Technical Program Manager, Data: Science \u0026 Engineering

The Data: Science & Engineering (D:SE) team at AWS Marketing is responsible for providing data-driven marketing technology solutions. The team owns the core ROI measurement, generative AI and Machine Learning, analytics and data pillars critical to AWS Marketing's success. We deliver the foundational data infrastructure powering all data products and services via our centralized data lake. We provide insights, tools, and methodologies to analyze performance and return on investment. Key tenets include impact-driven prioritization, favoring automation and self-service, relentless focus on data quality, and driving relevancy through AI/ML targeting and segmentation models. Our vision is to create an AI-powered, data-driven marketing technology ecosystem resulting in unparalleled efficiency, personalization, and measurable business impact.

We are looking for a Senior Technical Program Manager (TPM) to lead complex, cross-functional programs that have a significant impact on our data-driven marketing capabilities. In this role, you will focus on critical technology areas like our centralized data infrastructure, advanced analytics, and AI/ML solutions, as well as initiatives that span organizations or geographies to support our overall business objectives. You will partner closely with business and engineering stakeholders to ensure alignment on requirements, priorities, and trade-offs.

The Sr. TPM is responsible for the delivery of large and complex projects that may or may not be tied to a larger program. They will manage the roadmap and delivery processes for our organization, which will include driving OP1/OP2, and ownership of one or more organizational goals. As a senior technology program owner, they are accountable for the overall strategy as well as driving teams inside and outside D:SE to deliver. They define the program, set objectives, analyze data, drive improvements that are quantified with metrics, and influence resource allocation. They understand the systems in our product and program space, their limitations, scaling factors, boundary conditions, and reasons behind architectural decisions

Our environment is fast-paced. The ideal candidate will be a self-starter, endlessly curious, detail-oriented and highly organized. Strong communication skills (both oral and written) are critical.

About AWS

Diverse Experiences

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Key job responsibilities

* You communicate effectively, foster consensus, and partner closely with stakeholders and engineering teams.

* You will lead delivery of critical data infrastructure, analytics, and ML solutions to drive measurable business impact.

* You are accountable for the successful delivery of major programs, meeting challenging goals around efficiency, personalization, and ROI.

* Your program and operations management sets a high bar, delivering the right priorities, mitigating risks, and simplifying processes to boost team productivity.

* You deeply understand the data and ML architecture, influence technical priorities, and make data-driven business cases to leadership.

About the team

The Data: Science and Engineering team builds measurement products, AI/ML models for targeting and segmentation, and self-service insights capabilities to drive better performance and strategic decisions in AWS Marketing globally. We are the central data and science organization, and we work with different teams in AWS Marketing to drive better measurement, improve data access and analytical self-service, deploy and test AI/ML-powered targeting models, and empower strategic decisions with business deep dives.

BASIC QUALIFICATIONS

- 5+ years of technical product or program management experience

- 7+ years of working directly with engineering teams experience

- 3+ years of software development experience

- 5+ years of technical program management working directly with software engineering teams experience

- Experience managing programs across cross functional teams, building processes and coordinating release schedules

PREFERRED QUALIFICATIONS

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

- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership

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 $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.

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