Technical Product Manager - AI
The Technical Product Manager - AI will lead business analysis and strategy, translating business objectives into prioritized roadmaps and solution options. This role involves identifying and implementing AI and automation initiatives, collaborating with cross-functional teams, and managing stakeholders to ensure successful project delivery and process improvements.
Business Analysis & Strategy Engage with senior stakeholders to understand business objectives, pain points, and opportunities. Translate strategic goals into clear problem statements, solution options, and prioritized roadmaps.
Requirement Gathering & Documentation Lead discovery sessions, workshops, and stakeholder interviews. Produce high-quality artifacts including Business Requirement Documents (BRDs), Functional Specifications, user stories, acceptance criteria, and process flows.
Solution Design Collaborate with architects, designers, and engineering teams to shape solutions that balance business value, user experience, and technical feasibility. Create wireframes, workflows, and prototypes where needed.
AI & Automation Initiatives Identify opportunities to apply AI, GenAI, and intelligent automation across business processes. Partner with data science, ML, and engineering teams to define use cases, success metrics, and adoption strategies. Translate AI capabilities into business outcomes that stakeholders can understand and act on.
Process Analysis & Improvement Map current-state and future-state processes. Identify inefficiencies, automation opportunities, and improvement areas. Recommend changes that improve productivity, customer experience, or cost performance.
Stakeholder Management Act as the primary liaison between business, product, and technology teams. Manage expectations, resolve conflicts, and ensure alignment on scope, priorities, and timelines.
Team Leadership & Mentorship Guide a team of business analysts across one or more workstreams. Review deliverables, set documentation standards, coach junior team members, and uphold the overall quality of business analysis.
Project Delivery Partner with project managers and delivery leads to plan releases, track progress, and manage risks. Drive UAT cycles, support change management, and ensure smooth go-lives.
Reporting & Governance Define KPIs and success metrics for initiatives. Track outcomes, conduct post implementation reviews, and present insights to senior leadership.
Posted June 1, 2026