AI Technology Product Manager - Enterprise

Responsibilities Owns product strategy and delivery outcomes across The Baldwin Group's AI Engineering, Automation & Integration, and Cloud & DevOps portfolios, with primary focus on AI. Define and prioritize the AI product roadmap in partnership with business product owners, sequencing initiatives by business value, risk, and dependencies. Translate business requirements into well‑structured product requirements and backlog items for the engineering team. Own outcomes across the AI portfolio: keep initiatives aligned to scope and value, and make the prioritization calls when trade‑offs arise. Direct AI, automation/integration, and cloud vendors and implementation partners, holding them accountable to product requirements and milestones. Lead cross‑functional rollout planning and stakeholder alignment for AI solutions going into production. Own product outcomes for Automation & Integration initiatives (workflow automation, iPaaS, system integrations), balancing platform consolidation, reliability, and business enablement. Own product outcomes for Cloud & DevOps initiatives (infrastructure platforms, CI/CD, developer tooling), partnering with engineering leads on roadmap sequencing and value delivery. Define and continuously refine vision, strategy, and measurable objectives for AI initiatives, ensuring clear alignment with Baldwin's brokerage strategy and operating model. Develop and maintain an outcome‑oriented roadmap that balances regulatory, operational, user experience, and technical considerations; socialize and adjust based on evidence and stakeholder input. Lead structured discovery (stakeholder interviews, journey mapping, qualitative research, workshops) to understand user problems and opportunities for AI‑driven solutions. Partner with Analytics and business teams to translate behavioral data, incident trends, and operational metrics into actionable product insights and hypotheses. Translate problems and opportunities into well‑formed epics, features, and user stories with clear acceptance criteria for Agile delivery teams. Act as product lead within Agile ceremonies (planning, backlog refinement, reviews), ensuring work items are ready, understood, and anchored to defined outcomes. Define and track product KPIs and success metrics (adoption, task completion, error/incident rates, cycle times, NPS/CSAT); run and interpret small experiments (A/B tests, pilot cohorts) to guide iteration. Serve as primary point of contact for designated business areas on AI, automation/integration, and cloud/DevOps initiatives, managing expectations and aligning on priorities and trade‑offs. Facilitate cross‑functional decision making, presenting clear options, impacts, and recommendations to leaders and governance forums. Support change adoption by partnering with Training, Communications, and local leaders to embed new AI capabilities into processes and roles. Provide peer coaching and informal mentoring to Associate and Technology Product Analysts on discovery methods, story writing, prioritization, and stakeholder engagement. Requirements Bachelor's degree in information systems, computer science, business, data/analytics, engineering, or a related field; or equivalent combination of education and experience. 4–6 years of progressive experience in product management or technical product ownership, including direct ownership of roadmaps and backlogs for business applications or SaaS products. Experience with AI/ML product or platform initiatives strongly preferred. Experience with integration/automation platform (iPaaS, workflow automation) or cloud/DevOps platform initiatives preferred. Direct experience with technology products in insurance, brokerage, or financial services, or in other highly regulated, B2B/B2B2C environments preferred. Hands‑on experience with Agile/Scrum and related toolsets (Jira or Azure DevOps for backlog management; Confluence/SharePoint for documentation) preferred. Familiarity with product management frameworks from accredited programs (Cornell/eCornell, Pragmatic Institute, AIPMM, Product School, or similar) preferred. Experience defining and tracking KPIs, running small experiments, and using data/analytics or BI tools to inform decisions preferred. Relevant certifications (Pragmatic Institute, AIPMM, CSPO/PSPO, SAFe PO/PM, or university‑backed product management certificates) are a plus. Core Competencies Demonstrates expertise in AI product management, including defining product roadmaps, translating business requirements into actionable items, and leading cross‑functional teams to deliver AI‑driven solutions. Proficient in Agile methodologies and capable of tracking product KPIs to ensure alignment with business objectives. #J-18808-Ljbffr Jobtailor