Product Manager 1 - (AI Focus)

Principal Financial Group is seeking a Product Manager 1 focused on AI to support the development and delivery of AI-enabled products. This role involves collaborating with various stakeholders and the data science team to prioritize initiatives, translate business needs into product outcomes, and track performance and adoption metrics.

Responsibilities:

• Contribute to managing the AI use-case intake pipeline by helping vet, prioritize, and track initiatives in partnership with department leadership
• Collaborate with finance and product leadership to support cost-benefit analyses (CBAs), helping quantify potential value, ROI, and trade-offs for proposed use cases
• Work with stakeholders to identify opportunities, document workflows, and define clear problem statements, success metrics, and “jobs to be done.”
• Help define and monitor AI utilization and adoption metrics (e.g., Copilot usage, agent adoption, efficiency improvements) and share insights with the product team
• Contribute to the management of the RIS AI Portal portfolio
• Work with business partners to refine requirements, support backlog development, and ensure clear understanding of business needs
• Build and share reports, dashboards, and updates to communicate progress, learnings, and outcomes to stakeholders
• Support cross-functional AI governance efforts, including documentation, risk tracking, and alignment with compliance standards
• Use Jira to coordinate work across stakeholders, track progress, and maintain visibility into product delivery

Requirements:

• 2+ years of product management experience, preferably in an engineering or technology organization
• Understanding of AI/ML concepts, generative AI, and agentic patterns. (technical depth not required, but conversational fluency expected)
• Demonstrated experience building business cases and cost-benefit analyses
• Strong stakeholder management skills, able to communicate technical concepts to non-technical audiences
• Experience with intake/pipeline management and prioritization frameworks
• Data-driven mindset with experience in defining and tracking KPIs and adoption metrics
• Familiarity with JIRA, Confluence, and agile delivery practices
• Excellent written and verbal communication skills
• Experience in financial services or other regulated data environments
• Familiarity with data science, analytics, or AI/ML concepts (e.g., models, experimentation, data pipelines, or model lifecycle)
• Exposure to product, analytics, or technical project work supporting data-driven or AI initiatives