Data Engineering Manager (Customer Experience)

U.S. Bank • Atlanta, GA

23h • Onsite

About The Position

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, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that’s what we call the courage to thrive. 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. Try new things, learn new skills and discover what you excel at—all from Day One. As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we’re building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other. Job Description The Data Engineering Manager (Customer Experience) is a senior, hands‑on leadership role responsible for designing and owning the end‑to‑end customer and user experience of the enterprise data platform. This role combines technical depth, experience architecture, and team leadership. It is not a product management role. The manager ensures that all personas—data engineers, analysts, non‑technical users, and external customers—can easily access, understand, and trust data and AI capabilities. Embedded within a data mesh and medallion architecture, this role translates complex data platforms into intuitive, governed, and scalable experiences across Databricks, Snowflake, and AI‑powered interfaces.

Requirements

• 7+ years of experience in data engineering, data architecture, or related technical roles.
• Experience leading or mentoring engineers in a platform or shared‑services environment.
• Strong hands‑on experience with Databricks, Snowflake, and data mesh principles.
• Proven ability to design experiences for both technical and non-technical users.
• Experience with customer and behavioral data, event modeling, and data contracts.
• Proficiency in SQL and Python.
• Experience with multi‑agent AI / LLM experience design and natural language interfaces.
• Background in service design, journey mapping, and experience architecture.
• Strong communication skills and ability to influence across engineering, governance, and business teams.
• Bachelor's degree, or equivalent work experience
• Six to eight years of relevant technical experience
• Five or more years of leading a software engineering team

Nice To Haves

• Developer Experience (DevEx) design experience (APIs, SDKs, onboarding).
• Accessibility or inclusive design experience.
• Exposure to real‑time or streaming data.
• Certifications in Databricks, Snowflake, cloud platforms, or UX/service design.

Responsibilities

• Lead and own experience standards across all data platform personas.
• Manage and mentor engineers and experience‑focused technologists embedded in platform and domain teams.
• Define experience frameworks, journey maps, and blueprints that reduce friction and improve adoption.
• Partner with Platform Engineering to embed UX and DevEx standards directly into self‑serve tooling.
• Establish and track experience quality metrics such as time‑to‑insight and self‑serve success.
• Oversee developer experience across APIs, SDKs, Databricks notebooks, CI/CD, and documentation.
• Guide analyst and power‑user experiences for Gold‑layer data in Snowflake, including semantic layers and discoverability.
• Enable non‑technical users through AI‑assisted querying, natural language interfaces, curated dashboards, and plain‑English data definitions.
• Lead the design of data‑powered and AI‑mediated experiences for external customers, including consent, privacy, and trust signals.
• Define interaction standards for multi‑agent AI systems, including persona‑specific tone, escalation, and feedback loops.
• Collaborate with governance, security, and privacy teams to ensure experience and compliance are aligned.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees