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Job Details
Posted date: Mar 05, 2026
Location: Bellevue, WA
Estimated salary: $174,950
Range: $148,700 - $201,200
Description
We are looking for a Sr. Data & Analytics Technical Program Manager who will own the data architecture, taxonomy, and measurement systems that enable our organization to understand and improve the performance of our deployed electrification infrastructure at scale.Today, our data lives across multiple systems — equipment telemetry, construction project trackers, field service records, supplier quality databases, and operational dashboards. Failure modes, equipment types, and root causes are classified inconsistently. We need someone who will build order from chaos — creating the taxonomies, classification systems, data models, and metrics definitions that become the single source of truth for infrastructure performance.
You will drive requirements for what data we need to collect and how — working upstream with software teams, equipment suppliers, and field operations to define what telemetry, event data, and field observations must be captured, at what granularity, in what format, and from what systems. You will identify instrumentation gaps, write data source requirements, and ensure that as we deploy new equipment and scale to new regions, the right data is flowing from day one.
This role demands someone who can fluidly move between altitudes. You need the intellectual rigor to dive deep into a metrics definition debate — to care whether a "charger fault" and a "charger offline event" should be the same category or different, and to understand why that distinction changes the corrective action. But you also need the judgment to know when the taxonomy is good enough to ship, when a dashboard at 80% accuracy today is more valuable than a perfect one next quarter, and when to stop refining and start delivering. You must be able to hold the long-term data strategy vision — where this organization needs to be analytically in two years — while simultaneously unblocking the team that needs a working report by Friday.
You are highly proficient in Python and QuickSight and can build things fast. But your real superpower is knowing when to go deep and when to move forward — and making sure the organization is measuring the right things, collecting the right data, and making better decisions because of your work.
Key job responsibilities
- Design and own data taxonomy and classification systems for infrastructure performance — covering failure modes, equipment types, root cause categories, site configurations, and maintenance actions — balancing rigor with pragmatism to deliver usable frameworks at business pace
- Drive data source requirements upstream — defining what telemetry, event data, and field observations must be captured from equipment, software systems, contractors, and field teams, at what granularity and format, and holding stakeholders accountable
- Define, document, and govern metrics for infrastructure reliability, availability, and performance — navigating ambiguity to land on definitions that drive the right operational decisions
- Build and maintain data models and pipelines integrating disparate sources into a unified analytical layer — moving fast while building toward scalable architecture
- Develop dashboards, reports, and self-service analytics tools that provide actionable fleet performance visibility — shipping iteratively
- Partner cross-functionally with reliability engineering, hardware, construction, operations, and supply chain to translate data needs into measurement frameworks and analytical products
- Identify instrumentation gaps and drive upstream changes — writing requirements and influencing roadmaps to ensure new deployments are instrumented correctly from day one
- Build automated data quality monitoring for taxonomy compliance and metrics integrity at scale
- Own the data and analytics strategy and roadmap, balancing long-term vision with pragmatic near-term trade-offs
- Translate data insights into business narratives for leadership — connecting performance trends to operational impact and strategic direction
A day in the life
Your morning starts in a working session with reliability engineers, pressure-testing whether a new failure mode warrants its own taxonomy category or fits within an existing one — you make the call based on downstream reporting impact and move on. After lunch, you're in Python building an automated pipeline to normalize field service records from three different contractor formats into your unified data model. Late afternoon, you present your proposed fleet-wide reliability metrics framework to your director — not just the definitions, but why these specific metrics will drive the right decisions and what upstream data source requirements need to be locked down to make them work. Between meetings, you ship an updated dashboard that gives field teams self-service visibility into site-level equipment health for the first time.
About the team
Global Fleet and Products, Electrification and Infrastructure is building the backbone of Amazon's electric vehicle future. We are responsible for designing, deploying, and sustaining all electrification infrastructure globally to support Amazon's logistics EV fleet — one of the largest commercial electric vehicle deployments in history. Our scope spans everything from high-voltage utility interconnections and switchgear to charging systems, energy management, and on-site power distribution across thousands of sites worldwide.
We operate at the intersection of electrical engineering, construction, fleet operations, and technology — delivering infrastructure that must perform reliably at massive scale, in diverse environments, under demanding operational conditions. Our work directly enables Amazon's Climate Pledge commitment and powers the vehicles that deliver to customers' doorsteps every day.
Here's the challenge: we are deploying infrastructure at a pace and scale where the data systems to measure, classify, and understand our fleet's performance need to be built alongside the infrastructure itself. If you're the kind of person who gets excited about building the measurement framework from the ground up — defining what to measure, how to classify it, and how to turn messy real-world data into crisp, actionable intelligence — this is your role.
Qualifications
- 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
- Knowledge of and proficiency in the use of Python scripting language
- Experience in writing complex, highly-optimized SQL queries across large datasets
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Experience managing competing priorities and using metrics to drive business decisions
- Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience driving collaborative projects from conception to delivery
Extended Qualifications
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership- Experience providing and effectively communicating strategic and tactical recommendations based on data
- Experience with data systems for physical infrastructure, manufacturing, field service, or IoT/telemetry environments
- Experience implementing data quality frameworks and automated validation at scale
- Genuine intellectual curiosity about physical systems — how electrical infrastructure works, how it fails, and how data can make it better
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 148,700.00 - 201,200.00 USD annually