Senior Data Product Accelerator Lead – Data Innovation & Tools
Listed on 2026-05-15
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IT/Tech
Data Engineer, Data Science Manager
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career.
Try new things, learn new skills and discover what you excel at—all from Day One.
We are seeking a highly skilled Senior Data Product Accelerator Lead to join the Data Innovation and Tools Rationalization team within the Enterprise Data Office. This role plays a critical hands‑on leadership role in advancing the modernization of enterprise data capabilities by designing, proving, and scaling reusable data product accelerators, integration patterns, and enablement frameworks aligned with the Enterprise Data Strategy.
The role focuses on accelerating platform adoption, improving delivery consistency, and reducing friction across teams through disciplined tool evaluation, product thinking, and enterprise scale enablement.
We are the innovation and tooling engine for the Enterprise Data Office, focused on reusable patterns, accelerators, and tool rationalization that reduce friction and speed up delivery and adoption of governed data products.
VisionMake data products and AI capabilities easier to build, safer to deploy, and faster to adopt across the bank.
MissionDeliver reusable data product patterns, accelerators, and clear integration pathways that help teams ship data products faster while enabling safer AI adoption and reducing technology sprawl through disciplined tool evaluation and rationalization.
ValuesHead high:
We build with excellence. Our work is intentional, high‑quality, and designed to last, so we are always proud of what we deliver and comfortable standing behind it.
Accountability Over Activity:
We take end‑to‑end accountability, from problem framing through delivery, adoption, and outcomes.
Strategic Intelligence:
We think in systems, anticipate downstream impact, and collaborate to win as a pod, not as individuals.
Relentless Craft:
We are passionate about the work we do. Our drive comes from curiosity, purpose, and a genuine love of building impactful solutions.
The Senior Data Product Accelerator Lead is a senior contributor responsible for accelerating enterprise adoption of modern data platforms, tools, and data product patterns. This role sits at the intersection of product enablement, technical strategy, and execution, acting as a force multiplier for delivery teams across the Enterprise Data Office and broader bank.
Unlike a traditional engineering role, this position focuses less on day‑to‑day pipeline development and more on designing, proving, and scaling reusable accelerators, integration patterns, and operating guidance that materially improve time to value, consistency, and quality of data products.
The ideal candidate brings deep technical credibility, strong product thinking, and the ability to influence across teams without formal authority. This role plays a critical part in reducing fragmentation, improving developer and analyst productivity, and ensuring that modern data capabilities are adopted safely and effectively at scale.
Key Activities- Lead the design and evolution of reusable data product accelerators, reference architectures, and integration patterns across platforms such as Snowflake, Databricks, and Power Platform.
- Serve as a senior technical and product advisor to delivery teams adopting enterprise data platforms and tools.
- Identify recurring friction points in data product delivery and design scalable solutions that remove those barriers.
- Partner with platform, architecture, and governance teams to evaluate, test, and validate data and analytics tools.
- Lead proofs of concept and comparative assessments to inform tool rationalization and standardization decisions.
- Translate platform capabilities into clear adoption…
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