Sr. Data & Analytics Technical Program Manager, GFP Electrification & Infrastructure

Amazon • Bellevue, WA

14h

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed