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Micron Technology

Makes memory and storage chips for AI and PCs

AI Portfolio Manager

Program ManagementConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • Bachelor’s degree or higher in Industrial Engineering, Systems Engineering, Business Administration, Quality Engineering, Computer Science, or a related field.
  • At least 5 years of relevant experience in portfolio, program, or project management, AI/process transformation, quality systems, or related areas.
  • 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.
  • Clear executive communication and ability to translate technical details into concise decisions, risks, trade-offs, and recommended actions.
  • Stakeholder management and influencing 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.

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.
  • 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.
  • 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.

Desired Qualifications

  • Familiarity with process modeling, process mining, and Lean Six Sigma fundamentals.
  • Experience with Power BI or equivalent platforms for portfolio dashboards and reporting.
  • Working knowledge of ISO 9001, IATF 16949, and process-level integration across platforms such as Salesforce, ServiceNow, SAP, and Teamcenter.
  • Familiarity with scheduling, backlog, and resource-tracking tools for integrated delivery planning.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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