Data Product Manager

 

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

We are looking for a Product Manager with experience leading the design and implementation of Data Products on the Microsoft Azure platform. This role requires hands on experience with cloud native solutions to meet the complex Data and Insights requirements of our customers, while increasingly leveraging modern AI native, Copilot driven, and agentic product development practices.
The Product Manager will play a critical role in shaping and delivering scalable, intelligent data platforms that not only organize and integrate disparate data sources, but also enable AI powered, insight driven, and increasingly autonomous data experiences.

Key Responsibilities:
•    Gather and analyze business and technical requirements to develop impactful Data Solutions, leveraging both traditional discovery techniques and AI assisted insights.
•    Demonstrate expertise through a consultative and collaborative approach to engineering, working closely with data engineering, data science, and platform teams.
•    Apply strong problem solving skills grounded in a deep understanding of data architectures, pipelines, data warehouses, serving layers, and modern analytics patterns.
•    Document end to end data flows from source to target at a functional level, ensuring clarity, traceability, and alignment with business outcomes.
•    Investigate and perform deeper analysis to produce high impact data solutions that achieve targeted and measurable outcomes.
•    Perform quantitative analysis to identify, diagnose, and resolve data quality, performance, and reliability issues.
•    Work closely with customers to understand their questions and needs, then navigate data rich environments to uncover insights and complete their information puzzle.
•    Effectively communicate—both orally and in writing—with peers across Data Products, Enterprise Architecture, Technology, and Client Success teams.
•    Leverage Microsoft Copilot and AI assisted tooling across the product lifecycle, including requirements discovery, backlog refinement, technical documentation, data analysis, and stakeholder communication.
•    Use AI driven insights to accelerate problem discovery, hypothesis validation, prioritization, and decision making.
•    Partner with engineering and data science teams to embed AI assistance directly into data products, dashboards, and workflows, improving end user decision quality and efficiency.
•    Contribute to the design of agentic data systems, where autonomous or semi autonomous agents assist with data quality monitoring, anomaly detection, root cause analysis, pipeline orchestration, and operational observability.
•    Support the evolution from traditional dashboards to AI powered, conversational, and goal oriented data experiences that adapt to user context and intent.
•    Help define scalable product patterns where intelligent agents proactively surface insights, recommend actions, and continuously learn from usage signals.
•    Apply modern, AI enabled product discovery techniques to synthesize customer feedback, operational telemetry, and usage data at scale.
•    Drive experimentation, A/B testing, and outcome based measurement using AI augmented analytics and observability tooling.
•    Ensure that AI and agentic capabilities are designed with strong governance, explainability, security, and compliance aligned to enterprise standards.
•    Collaborate with Enterprise Architecture and Platform teams to ensure AI capabilities are reusable, scalable, and aligned with long term data platform strategy.
•    Balance rapid AI innovation with enterprise grade reliability, risk management, and operational excellence.

Overall Role Impact:
The Product Manager plays a crucial role in developing and deploying pipelines and platforms that transform raw, disparate data into trusted, meaningful, and actionable insights. As the platform evolves, this role also helps shape the transition toward AI enabled and agentic data products that amplify human decision making and unlock measurable business outcomes at scale.

Required Experience and Qualifications:
A well qualified candidate must have demonstrated experience in the following areas:
•    Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, Business Analytics).
•    3+ years of experience in data product management, data strategy or analytics
•    Strong understanding of data platforms (Snowflake, Databricks etc.) and enterprise analytics ecosystem
•    Experience with the entire data pipeline, including data acquisition, data preparation, and database architecture.
•    Experience with data engineering projects supporting data science and AI or ML implementations.
•    Experience with Python and SQL.
•    Ability to support project teams in scaling, monitoring, and operating enterprise data platforms.
•    Well versed in using collaboration tools such as Jira and Confluence.
•    Experience working on real time data and streaming applications.
•    Experience with Agile engineering practices.
•    Ability to consult with customers to document technical requirements from business objectives and translate those requirements into system and platform architecture.
•    Experience creating solutions within a collaborative, cross functional team environment.
•    Excellent written and verbal communication skills, with the ability to communicate effectively across technical and non technical audiences.

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 of the location for the other days.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

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

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

 

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $111,605.00 - $131,300.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.