Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
The AI Portfolio Manager leads governance and delivery coordination for QMO AIPI initiatives, overseeing portfolio intake, prioritization, roadmaps, metrics, risks, dependencies, change control, and executive reporting across AI and Process Intelligence solutions. Partnering with cross-functional teams, the role translates technical and process insights into portfolio decisions, delivery plans, and leadership updates, while ensuring alignment with quality systems and responsible AI governance. The role supports the Quality Systems vision: “Trace it. Prove it. Accelerate it.”
Main Responsibilities
Own portfolio governance, including initiative intake, prioritization, roadmaps, performance metrics, risk reviews, change control, governance forums, and executive reporting.
Coordinate concurrent initiatives from chartering through closure, aligning scope, deliverables, schedules, resources, budgets, dependencies, and delivery commitments.
Maintain the portfolio plan and assess changes for impact on scope, schedule, cost, resources, benefits, risks, and dependencies.
Own portfolio dashboards and reporting, providing visibility into progress, milestones, risks, dependencies, adoption, and benefits realization.
Translate technical and delivery information into executive insights, highlighting at-risk initiatives, trade-offs, capacity constraints, and recommended actions.
Evaluate, prioritize, and sequence AI and automation initiatives based on strategic alignment, business value, process and data readiness, risk, dependencies, and capacity.
Manage cross-project risks, issues, dependencies, and conflicts, ensuring clear ownership, mitigation, escalation, and resolution.
Advise Quality Systems leadership and governance forums on portfolio health, priorities, trade-offs, and key decisions.
Partner with Process Architects, Solutions Engineers, project owners, subject matter experts, and enterprise teams to maintain technical and delivery alignment.
Other Responsibilities
Apply knowledge of process architecture, BPM/BPMN, quality management systems, process governance, and AI to assess initiative readiness, complexity, risk, and milestone criteria.
Translate technical, validation, data protection, reliability, and human oversight requirements into delivery plans, stage gates, acceptance criteria, and operational handover.
Standardize and continuously improve portfolio governance, planning, delivery, project closure, and lessons learned using Agile or hybrid approaches.
AI Responsibilities
Govern Generative AI, AI Assistant, and Agentic AI initiatives, ensuring appropriate use-case selection, readiness, validation, dependencies, and responsible AI oversight.
Use approved AI tools to support portfolio reporting, information synthesis, risk identification, and action tracking with appropriate human review.
Define appropriate delivery and governance requirements for AI-assisted, AI-augmented, and Agentic AI solutions.
Track adoption, productivity gains, business outcomes, and benefits realization of AI-enabled solutions.
Minimum Qualifications / Experience
Bachelor’s degree or higher in Industrial Engineering, Systems Engineering, Business Administration, Quality Engineering, Computer Science, or a related field.
5+ years of relevant experience in portfolio, program, or project management, AI/process transformation, quality systems, or related areas.
Must-Have Technical Skills
End-to-end portfolio governance, including intake, prioritization,…