Senior Data Product Accelerator Lead – Data Innovation & Tools

US Bank

Hybrid

Quick summary

Work type
Hybrid
Location
Minneapolis, MN · Chicago, IL · Charlotte, NC · Irving, TX
Salary
$149,515–$175,900 / yr
Posted
5 days ago
Closes
Jun 30, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $190k
This role $163k
$137k most similar roles pay here $234k

This role pays less than 64% of similar roles. Most pay $161,517–$219,287 — the shaded band above. At the midpoint, this role pays about $163k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About US Bank

U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services

US Bank currently has 44 open roles on FindRole.

Listed pay typically runs $111,605–$131,300 across 41 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Senior Data Product Accelerator Lead – Data Innovation & Tools

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The Senior Data Product Accelerator Lead role at the Enterprise Data Office within U.S. Bank involves leading the design and scaling of reusable data product accelerators and integration patterns across platforms like Snowflake, Databricks, and Power Platform to enhance platform adoption and reduce friction in data delivery. This hands-on leadership position requires deep technical expertise with modern data platforms, proficiency in SQL and Python, and strong product thinking skills to influence cross-functional teams without formal authority. The ideal candidate will have experience working in regulated environments and a background in financial institutions, with the ability to evaluate and rationalize tools while ensuring safe AI adoption at scale.

Skills

Snowflake Databricks Power Platform Python SQL CI/CD Hadoop Hive Spark Power BI Tableau Power Automate Power Apps AWS Azure GCP Terraform Kubernetes Git Jenkins Ansible

What you'll do

  • Lead design and evolution of reusable data product accelerators across platforms like Snowflake and Databricks.
  • Serve as a senior technical advisor to teams adopting enterprise data platforms and tools.
  • Identify and solve recurring friction points in data product delivery for improved efficiency.
  • Evaluate, test, and validate data and analytics tools with platform and governance teams.
  • Translate platform capabilities into clear adoption pathways and usage guidance for teams.
  • Continuously refine assets based on feedback and evolving enterprise needs to enhance usability.

What we're looking for

  • 10+ years of experience in data engineering or related roles.
  • Deep technical fluency with modern data platforms like Snowflake and Databricks.
  • Strong product thinking and ability to influence without formal authority.
  • Experience designing reusable components adopted by multiple teams.
  • Familiarity with cloud ecosystems (Azure, AWS, GCP) and big data technologies.
  • Hands-on experience with SQL, Python, and visual analytics tools.
  • Proven track record in automating ETL processes at scale.

Related searches

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