Hybrid Technical Product Manager

at U.S. Bank

• Job title: Technical Product Manager
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $111,605 - $131,300 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL
• Location requirements: Hybrid, Atlanta, United States

About the role

• Product Manager responsible for designing Data Products on the Microsoft Azure platform. Focused on creating scalable and intelligent data solutions leveraging modern AI capabilities.

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.

Requirements

• 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.

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