AI Data Innovation Engineer, Data Innovation and Tools Rationalization

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 AI Data Innovation Engineer to join the Data Innovation and Tools Rationalization team within the Enterprise Data Office. This role plays a critical hands‑on role in advancing the adoption of AI‑enabled data capabilities by prototyping, validating, and operationalizing reusable AI Data patterns and enablement frameworks aligned with the Enterprise Data Strategy. The role focuses on accelerating AI readiness, enabling safe and scalable adoption, and reducing friction across teams through disciplined experimentation, platform integration, and enterprise‑scale AI 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.

Vision | Make data products and AI capabilities easier to build, safer to deploy, and faster to adopt across the bank.

Mission | Deliver 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.

Head 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 AI Innovation Engineer is a senior individual contributor responsible for advancing enterprise AI capabilities from a data and data product standpoint. This role sits at the intersection of enterprise data products, AI enablement, and platform innovation, acting as a force multiplier for teams adopting AI‑enabled data products across the Enterprise Data Office and broader organization.

Unlike traditional model development or research‑focused roles, this position focuses on prototyping, validating, and operationalizing AI capabilities that are tightly coupled to governed enterprise data products, including standardized semantic models, feature representations, and reusable data interfaces. The AI Innovation Engineer works hands‑on to ensure that AI solutions are built on trusted data foundations and can be safely reused, integrated, and scaled across platforms.

The ideal candidate brings strong technical depth across modern data platforms and AI technologies, paired with a practical understanding of enterprise data products and operating models. This role plays a critical part in accelerating AI readiness, reducing fragmentation across AI implementations, and ensuring that innovative AI capabilities are delivered through consistent, well‑governed data products aligned with the Enterprise Data Strategy.

Prototype and validate AI capabilities that leverage governed enterprise data products, including standardized semantic models, shared feature representations, and reusable data interfaces.

Develop and evolve reusable AI enablement patterns such as…