AI Product Manager
About the role
The AI Product Manager leads the strategy, development, implementation, and lifecycle management of artificial intelligence (AI) products and solutions across the organization. Reporting to senior leadership, this position provides direct supervision and leadership to assigned staff, including hiring, coaching, performance management, employee development, and workforce planning. This role works cross-functionally with technology, operations, data strategy, customer experience, and executive leadership to define business needs, deliver AI-enabled capabilities, ensure operational excellence, and support organizational transformation. The AI Product Manager ensures compliance with internal governance, security, privacy requirements and industry best practices while driving innovation that enhances performance, safety, and efficiency.
Responsibilities
- Provide direct supervision and leadership to assigned staff, including hiring, coaching, performance management, employee development, and workforce planning
- Work cross-functionally with technology, operations, data strategy, customer experience, and executive leadership to define business needs and deliver AI-enabled capabilities
- Ensure operational excellence and support organizational transformation
- Ensure compliance with internal governance, security, privacy requirements, and industry best practices
- Drive innovation that enhances performance, safety, and efficiency
Qualifications
Education
- Bachelor’s degree in Business, Computer Science, Engineering, Data Science, Information Systems, or related field (required)
- Master’s degree or certifications in product management, Agile/Scrum, or AI/ML (preferred)
Experience
- Minimum 4 years of product management, digital technology, analytics, or related work
- 2 years of supervisory experience
- Experience working with data science, machine learning, or AI-driven products
- Experience leading cross-functional teams
- Public sector or operations technology experience (preferred)
- Experience developing complex ETL or ELT processes from customer specifications to user sign-off
- Experience in data warehousing, ETL & data modeling, data integration and reporting
- Customer service skills with application support, deployment, and troubleshooting experience
- Previous project management experience required
- Proficiency with: Copilot, Copilot Studio, Azure AI Foundry, Microsoft Agent Framework, SQL, SSRS, SSIS, Data Warehouse, Data Lakes, Python or R (or both), Fabric and all Fabric tools, Power Apps, Power Automate, and other Microsoft tools
Knowledge
- Advanced knowledge of SQL and relational database concepts
- Knowledge of Oracle, MySQL, PostgreSQL databases (preferred)
- Understanding of AI/ML concepts, data pipelines, and model lifecycle
- Familiarity with cloud platforms and MLOps fundamentals
- Knowledge of UX principles and data governance
- Designing, implementing, and maintaining complex database management systems, data models, and data warehouses
- Transit data, software, systems, and process experience
- JD Edwards, Trapeze, Transit Systems, and SharePoint experience
Skills
- Proficient in Microsoft Business Intelligence Stack (Fabric, PowerBI, TSQL, SSIS, SSAS, SSRS)
- Demonstrated skills in specification and design for business data organization and creating solutions with BI tools