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Product Manager II; AI Capabilities
Job in
Des Moines, Polk County, Iowa, 50981, USA
Listed on 2026-10-24
Listing for:
Principal Financial Group
Full Time
position Listed on 2026-10-24
Job specializations:
-
IT/Tech
AI Business & Operations -
Business
AI Business & Operations
Job Description & How to Apply Below
What You'll DoAt Principal, we're building innovative digital experiences that help make financial security accessible to all. We're seeking a Product Manager II to lead the strategy, governance, and ongoing evolution of AI-powered capabilities supporting our Individual Solutions and Workplace Investing businesses.
This role sits at the intersection of product management, artificial intelligence, customer experience, risk management, and operational excellence. You will be responsible for defining and executing the product roadmap for AI-enabled solutions while ensuring appropriate controls, governance, and business outcomes are achieved.
What You'll DoProduct Strategy & Ownership Own the vision, roadmap, and business outcomes for AI-powered capabilities.
Define and prioritize product requirements, enhancements, and future investments.
Partner with business, technology, data, risk, compliance, and operations teams to deliver customer value.
Ensure product strategy aligns with broader business and enterprise priorities.
Identify opportunities to improve customer experiences and operational efficiency through AI.AI Governance & Operational Oversight Serve as the business owner of approved AI capabilities, customer experience, and associated risks.
Establish and maintain operational controls, governance processes, and audit evidence.
Oversee knowledge and content management strategies that support AI performance.
Approve business and content changes impacting AI capabilities.
Maintain version control and documentation for AI knowledge-base updates.
Manage disaster recovery and business continuity plans related to AI services.
AI Quality & Performance Management Monitor AI performance, customer outcomes, and key business metrics.
Analyze response quality, content gaps, hallucination indicators, drift, failed responses, and emerging customer needs.
Leverage customer feedback and analytics to drive continuous improvement.
Make material business decisions and prioritize corrective actions.
Testing, Risk & Vendor Management Coordinate pre-production, regression, boundary, negative, and red-team testing activities.
Manage incident response, issue remediation, complaint routing, and corrective actions.
Monitor and evaluate vendor performance and contractual obligations.
Participate in information security incident escalation and response processes.
Conduct periodic control effectiveness reviews and operational reporting.
Product Delivery & Collaboration Collaborate with engineers, designers, data scientists, and business stakeholders to deliver impactful solutions.
Translate customer and business needs into actionable product requirements.
Support agile delivery practices, backlog prioritization, story refinement, and product releases.
Communicate product vision, priorities, performance, and roadmap progress to stakeholders.
Who You Are 4+ years of product management, business, technology, or related experience.
2+ years working in a highly collaborative, fast-paced environment with engineering teams and stakeholders
Experience managing products through discovery, delivery, and optimization.
Experience defining business requirements and prioritizing product roadmaps.
Demonstrated ability to influence stakeholders and drive decisions across multiple teams.
Strong analytical, problem-solving, and strategic thinking capabilities.
Experience working within agile environments alongside engineering teams.
Ability to manage multiple priorities in a fast-paced environment.
Preferred Qualifications Product management experience supporting AI, generative AI, machine learning, conversational AI, virtual assistants, or knowledge management platforms.
Experience monitoring AI performance, model outcomes, and customer experience metrics.
Understanding of AI governance, model risk management, and responsible AI frameworks.
Experience partnering with technology, security, compliance, legal, and risk organizations.
Experience managing third-party technology vendors.
Financial services, insurance, workplace benefits, or wealth management industry experience.
Familiarity with prompt engineering, retrieval-augmented generation (RAG), knowledge bases, testing methodologies, and AI operations.
Success in This Role In the first year, success will be measured through:
Adoption and utilization of AI capabilities.
Customer satisfaction and experience improvements.
Reduction of content gaps, quality issues, and operational risk.
Delivery of roadmap priorities and business outcomes.
Effective…
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