AI Portfolio Manager

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 140,000 - 190,000; Full time

Job summary

Micron Technology, Inc. in Singapore is seeking an AI Portfolio Manager to lead governance and delivery for QMO AIPI initiatives, coordinating intake, prioritization, roadmaps, metrics, risks, dependencies, and executive reporting across AI and Process Intelligence solutions.

The role partners with cross-functional teams to translate technical insights into portfolio decisions, delivery plans, and leadership updates, ensuring alignment with quality systems and responsible AI governance.

Qualifications

• Bachelor’s degree or higher in Industrial Engineering, Systems Engineering, Business Administration, Quality Engineering, Computer Science, or a related field.

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.

Skills

Portfolio governance

KPIs & dashboards

AI & automation technologies

Process modeling

Stakeholder management

Executive communication

Cross-functional collaboration

Risk & dependency management

Power BI

QMS / ISO knowledge

Education

Bachelor’s degree or higher in Industrial Engineering / Systems Engineering / Business Administration / Quality Engineering / Computer Science

Tools

Power BI

Salesforce

ServiceNow

SAP

Teamcenter

Project management tools

Job description

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, roadmaps, lifecycle management, and Agile or hybrid delivery.
• Portfolio metrics and reporting, including KPIs, dashboards, performance analysis, resource utilization, and benefits realization.
• Working knowledge of AI and automation technologies, including Generative AI, LLMs, AI Assistants, Agentic AI, and data ecosystems.
• Working knowledge of process architecture, BPM/BPMN, process governance, and quality management systems.
• Cross-project risk, dependency, contingency, and change management.
• Soft Skills:
• Clear executive communication and the ability to translate technical details into concise decisions, risks, trade-offs, and recommended actions.
• Strong stakeholder management and influencing skills across project owners, technical specialists, enterprise partners, and leadership teams.
• Structured analytical thinking, sound judgment, and disciplined follow-through on actions and commitments.
• Ability to manage competing priorities and coordinate delivery across concurrent initiatives in a complex, matrixed environment.
• Preferred Skills:
• Process Modeling & Improvement: Familiarity with process modeling, process mining, and Lean Six Sigma fundamentals.
• Data Visualization: Power BI or equivalent platforms for portfolio dashboards and reporting.
• QMS & Enterprise Systems: Working knowledge of ISO 9001, IATF 16949, and process-level integration across platforms such as Salesforce, ServiceNow, SAP, and Teamcenter.
• Project Management Tools: Scheduling, backlog, and resource-tracking tools for integrated delivery planning.

Micron’s Core Values

• People: Respect, develop, and empower others.
• Innovation: Drive continuous improvement and breakthrough thinking.
• Tenacity: Show determination and follow through on commitments.
• Collaboration: Build trust and foster teamwork.
• Customer Focus: Deliver excellence and value.
• Speed: Act with purpose and set the pace.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact [e-mail].

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.