Technical Program Manager - Analytics & GenAI, Data Center Procurement Governance (DCPG)

Are you a builder who takes a messy business process and, in days not quarters,

turns it into a working data-and-AI solution people actually adopt? Do you pair

that with the technical depth to design the solution well, raise the quality bar

on what gets shipped, and lift the builders around you?

As Technical Program Manager, Analytics & GenAI within Data Center Procurement

Governance (DCPG), you will be a hands-on, technically deep builder-enabler who

takes generative-AI and analytics capabilities end to end: from the business

process and the build decision, through the solution and the data it stands on,

to the enablement and adoption that make it stick. This is a build-and-own role,

not a coordinate-and-hand-off role.

You bring a higher technical bar than a typical program manager - strong enough

in data and software practice to build fit-for-purpose solutions quickly, review

the quality and security of what the team builds, and mentor other builders. You

are a program manager first: you own the problem, the build decision, and the

outcome and you have the technical depth to deliver it yourself and raise the

bar for everyone around you.

This role works across a broad array of procurement practitioners and partner

teams in a global, matrixed organization. The ability to make an impact and

drive outcomes amid an ambiguous, complex landscape is critical. Due to the

global nature of the role, flexibility across time zones is needed.

Your role includes:

- Take a business process, understand it deeply, and iterate quickly to generate

solutions - re-engineering the workflow and folding its logic into the build

rather than automating it as-is.

- Build generative-AI, analytics, and automation solutions end to end on modern

low-code and GenAI platforms - fit-for-purpose, capability-grade solutions you

own through iteration, built close to the business process.

- Build and own analytics and insight - dashboards, metrics, and self-updating

mechanisms that surface signal proactively to decision-makers.

- Be data-strong: design and stand behind the data foundation your solutions

rely on so analytics and GenAI output can be trusted, not just believed.

- Provide technical leadership and mentorship, review the quality and security

of what the team builds (including code and application-security review), uphold

engineering and data-integrity standards, and grow the capability of the

builders around you.

- Partner with specialist engineering teams on heavier, full-stack platform

builds - scoping and handing off work that belongs there, while owning rapid,

process-proximate building yourself.

- Change management & adoption (owned, not an afterthought), own landing and

adoption for what you deliver: enablement, training, feedback loops, and

iteration until the solution is the way the work gets done. A build that doesn't

land hasn't delivered; you are accountable for adoption outcomes, not just

shipped tools.

Key job responsibilities

1. Translate business processes into solutions — owning the 'what to build and

why' decision and re-engineering workflows where that delivers more value than

automating as-is.

2. Design, build, and iterate GenAI, analytics, and automation solutions end to

end, taking them from idea to adopted state.

3. Build analytics, dashboards, and reporting mechanisms that measure outcomes

and surface insight proactively.

4. Design and stand behind the data foundation (sources, validation, provenance)

that keeps analytics and GenAI trustworthy.

5. Provide technical leadership: review the quality and security of solutions

the team ships (including code and application-security review) and mentor other

builders.

6. Partner with specialist engineering teams on full-stack/platform builds,

scoping clear boundaries and handoffs.

7. Drive change management and adoption to measurable targets across multiple

stakeholder groups and regions.

8. Operate independently in ambiguity, building fit-for-purpose with incomplete

or evolving requirements.

A day in the life

- No standard day — global scope and much variety: a morning sync with US team

members, a working session with APAC, an EMEA call to close.

- Real time spent building — designing a solution, shipping a GenAI tool, or

reviewing and uplifting a teammate's build — not only coordinating.

- Your customers are the data center procurement teams and partner teams;

stakeholders include legal, finance, assurance, and security colleagues.

- You are both the builder who ships and the technical mentor the team relies on

for review and quality.

About the team

Data Center Procurement Governance (DCPG) is a global function that enables

Amazon's data center procurement organization to execute at scale — building the

operational backbone of programs, mechanisms, systems and tooling, analytics,

and generative AI that lets the procurement organization move faster. This role

is the analytics and GenAI build-and-enable capability at the center of that

work, partnering with procurement to build and iterate, whilst working with

specialist engineering teams for heavier platform development and scaling.

Inclusive Team Culture

AWS values curiosity and connection. Our department, Data Center Planning and

Delivery (DCPD), sponsors a Women's Leadership Program that supports the growth

and development of female builders across the organization. Our employee-led and

company-sponsored affinity groups promote inclusion and empower our people to

take pride in what makes us unique. Our inclusion events build stronger, more

collaborative teams. Our continual innovation draws on the bold ideas, fresh

perspectives, and passionate voices our teams bring to everything we do. Basic

Qualifications: - 4+ years in technical program management, building or

delivering technical solutions hands-on (not only coordinating engineering

teams).

- Experience developing and deploying GenAI, analytics, or automation solutions

to production and iterating them.

- Strong data capability — designing and working with data models, validation,

and the data foundation solutions rely on (e.g. SQL and a

general-purpose/scripting language such as Python).

- Working knowledge of technology risk, data/security, and compliance

considerations — builds to security and quality standards and shepherds

solutions through review.

- Experience driving change management and adoption of technical solutions to

measurable outcomes. Preferred Qualifications: - Experience with automation or

scripting (Python or equivalent) and building analytics, BI, or dashboards.

- Experience mentoring or raising the technical bar for other builders.

- Track record of designing data validation, guardrails, and lineage into

solutions that consume untrusted or migrated data.

- Experience influencing stakeholders across functions, geographies, or business

units.

- Domain exposure to procurement, supply chain, or data center supply/delivery.

- Experience architecting or operating solutions on AWS.

- Experience defining outcome metrics (adoption, time saved, quality) and

presenting recommendations to leadership.

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

[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.