EDO Data Governance and Architecture Lead

About the Enterprise Data Office Governance & Architecture Team

We are the data governance and architecture standards body for the Enterprise Data Office, focused on data and AI governance for domain, product, and platform to build trust and improve speed of data product delivery.

• Vision: Make data products and AI solutions accurate, secure, safe, and compliant.
• Mission: Deliver modern governance and architecture accelerators to speed up adoption and execution.
• Values: In addition to U.S. Bank core values, we prioritize:
  • 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.

About the Role

The Senior Governance & Architecture Lead is a senior contributor and leadership role; responsibilities include accelerating data governance adoption through implementation and application of modern technology stack capabilities, data model standards development, data movement, storage, and consumption architecture skills libraries, and ensuring that domain and product team needs are met to comply with governance requirements. This role sits at the intersection of product enablement, technical strategy, and execution, acting as key governance resource for delivery teams across the Enterprise Data Office and broader bank.

Unlike a traditional data governance role, this position focuses less on day-to-day catalog, lineage and data quality implementations and more on defining standards and creating reusable accelerators to improve sourcing, ingestion, and consumption 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 governance capabilities are adopted safely and effectively at scale.

Key Activities

• Lead the design and evolution of reusable data governance accelerators and ensure regulatory and compliance requirements are met across data, product, and platform.
• Expertise and implementation of governance capabilities (e.g., Unity, Horizon, and DIP) in platforms such as Snowflake, Databricks, Collibra and Power Platform.
• Serve as a data governance advisor to product delivery teams adopting enterprise data governance.
• 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 pathways, playbooks, and usage guidance for teams.
• Apply product thinking to data and analytics capabilities, ensuring solutions are designed for usability, adoption, and measurable impact.
• Define success metrics for accelerators and enablement efforts, tracking adoption, reuse, and productivity gains.
• Continuously refine assets based on feedback, usage data, and evolving enterprise needs.
• Work closely with data engineers, analytics engineers, architects, data product owners, and governance partners to align solutions with enterprise data strategy.
• Act as a connector across teams, ensuring consistency while respecting domain specific needs.
• Influence engineering and product standards through credibility, hands on expertise, and demonstrated results.
• Evaluating, testing, and experimenting with emerging data and AI tools, platforms, and services.
• Documenting project outcomes, transition plans, adoption guides, and solution usage scripts to support enterprise rollout.

This role requires effective project management, communication and collaboration skills, along with the ability to work effectively with stakeholders across data, technology, and product owner teams. The successful candidate will bring deep technical fluency across modern data platforms, analytics tools, and cloud capabilities, and will contribute to advancing the Enterprise Data Strategy through hands-on engineering, technical leadership, and continuous improvement.

Basic Qualifications

• Bachelor's degree, or equivalent work experience
• Seven or more years of experience in data governance strategy, planning, and policy

Preferred Skills & Experience

• Bachelor's Degree in a quantitative field such as computer science, engineering, data science, mathematics, or statistics.
• 10+ years of experience across data engineering, analytics engineering, platform enablement, or data product roles.
• Demonstrated experience influencing adoption of shared platforms, tools, or standards in a large enterprise environment.
• Proven track record of designing reusable components or standards adopted by multiple teams.
• Experience working across Snowflake, Databricks, and cloud ecosystems (Azure, AWS, or GCP).
• Experience working in regulated or large-scale enterprise environments preferred.
• Strong organizational skills with the ability to manage multiple initiatives concurrently.
• Deep understanding of banking and financial institution terms.
• Knowledge of banking regulation and requirements for regulatory reporting.
• Strong analytical, organizational, problem-solving, and project management skills.
• Hands-on experience with programming languages such as Python and SQL.
• Proficiency with big data technologies including Hadoop, Hive, and Spark.
• Expertise in visual analytics tools such as Power BI, Tableau, or equivalent platforms.
• Experience with Power Platform tools such as Power Automate and Power Apps.
• Proven track record in automating and optimizing ETL processes at scale.
• Excellent written and verbal communication skills for documenting technical processes and engaging with cross-functional teams and present to senior management.

Schedule

The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.

Benefits

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

• 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

Pay

Pay Range: $133,365.00 - $156,900.00