Data Integration Manager

U.S. Bank

Data Integration Manager at U.S. Bank leading teams to build and integrate a data warehouse for Wealth Management.

Posted 7/9/2026full-timeChicago • Illinois, North Carolina • 🇺🇸 United StatesSeniorLead💰 $181,730 - $213,800 per yearWebsite

Tech Stack

Tools & technologies

DockerJavaLinuxMavenOraclePostgresPythonSparkSpring

About the role

Key responsibilities & impact

Build and lead a team focused on building, consolidating, and integrating a data warehouse that will support the Wealth Management line of business
Meet regularly with business stakeholders to understand business context and inform on strategy
Build meaningful relationships with relevant stakeholders and effectively partner to remove organizational obstacles and guide cross-team strategic efforts
Act as agile/product champion by enabling product teams and partnering with other leaders to drive empowerment, autonomy, engineering momentum, and business value
Foster a culture of empowerment, engineering excellence, and growth

Requirements

What you’ll need

Bachelor's degree, or equivalent work experience
10 or more years of relevant software engineering experience
Six or more years of experience leading multiple software engineering teams
Broad and deep leadership experience across Capital Markets in the Equities and Fixed Income space
Must be able to clearly articulate a multi-generational plan with adherence to a long-term strategy of technology intertwined with business strategy
Prior track record of implementing large scale transformation within Capital Markets
Expert understanding and managing Security Master Implementations for large swath of tradable securities, globally
Expert understanding of Transactional Trade data and empowering teams to build Market intelligence from that dataset
Corporate Bond [HY or IG] Electronic Trading market structure
Expert Level Data Modeling for robust, scalable datasets ensuring data quality governance
Equity & Equity Option Trading Market Structure
Deep understanding of Market Data including Aggregated, Consolidated and Montage books
Deep understanding of financial calculations such as VaR, RWA and various risk measurements
Deep Understanding of Post Trade Feed flows including calculations for settlement
Understanding of Risk including DV01, CR01 and generally what these numbers indicate
Understanding of strategies used to position inventory sectors
Understanding of micro-market structures and typical areas exploited by Algorithmic partners
Understanding of any Regulatory organizations
Must have Java expertise [writing, tuning, configuration driven]
Python fundamentals / Spark
Deep experience with Messaging [JMS or native]
Understanding of Spring, Maven and Docker
Experience with Relational Databases [Postgres or Oracle preferred]
Highly skilled in Linux scripting, troubleshooting and host tuning

Benefits

Comp & perks

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

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Hard Skills & Tools

Software EngineeringData ModelingSecurity Master ImplementationsFinancial CalculationsJavaPythonMessagingRelational DatabasesLinux ScriptingMarket Data Analysis

Soft Skills

Stakeholder EngagementTeam LeadershipEmpowermentStrategic ThinkingRelationship Building