Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 14, 2026. Apple scores A on the Alion truth index.
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. We are a diverse collection of thinkers and doers, continually reimagining our products, systems, and practices to help people do what they love in new ways. Everything we build is the result of people in different roles and teams working together to make each other's ideas stronger. That passion for innovation also applies to our internal practices, strengthening our dedication to leave the world better than we found it.
We are seeking a proactive, resourceful, and detail-oriented Gen AI Portfolio Intake Program Manager to join the Project Portfolio Management (PPM) team. You will own the end-to-end intake and refinement of incoming Gen AI project requests, so the highest-value initiatives rise to the top. You will be the single point of contact for requestors. You will apply a consistent scoring framework.
You will also stay abreast of emerging technologies and modern tools. You will look for ways to bring them into daily workflows to improve automation and efficiency for the team and its stakeholders.
Description
In this role, you will bring consistency, accountability, and speed to how Gen AI project requests are evaluated and approved.
Your core focus areas include:
Triage & Prioritization
Request Review: Review new Gen AI project proposals for scope, business impact, data availability, and privacy/compliance considerations.
Scoring & Ranking: Apply a consistent scoring framework (for example, ROI, strategic alignment, risk) to rank and queue requests.
Requirements Gathering & Consolidation
Proactive Engagement: Work with requestors to collect essential details (business goals, ROI estimates, data readiness, privacy constraints) so decisions can be made quickly.
Consolidation: Identify overlapping requests and combine them where it makes sense to streamline intake.
Program Alignment: Align new requests with existing initiatives or programs to avoid duplication.
Stakeholder Management & Communication
Meeting Facilitation: Lead solution review sessions and follow-up meetings to clarify ambiguities, track action items, and resolve blockers.
Single Point of Contact: Give requestors timely status updates and keep the triage process transparent.
Documentation
Centralized Backlog: Maintain a single project backlog that logs request details, decision rationales, and status updates.
Continuous Improvement
Outcome Analysis: Analyze triage outcomes and stakeholder feedback to refine intake forms, scoring models, and meeting cadences.
Standardization: Drive standard templates and processes to speed up future intake and decision-making.
Expectations
Scope: Own the intake lifecycle and scoring model across the full Gen AI request portfolio.
Autonomy: Resolve ambiguity independently.
Process: Design and improve intake forms, scoring models, and governance processes.
Minimum Qualifications
BS/BA degree or equivalent practical experience required.
Project & Program Management: 3 - 5+ years of experience in project/program management, PMO operations, or business process improvement. Experience supporting technology, data, or AI/ML teams is preferred.
Intake & Prioritization: Demonstrated ability to triage competing requests and apply a scoring framework (ROI, strategic alignment, risk) to rank and queue work.
Analytical & Business Acumen: Ability to conduct ROI analyses that estimate benefits, costs, and time-to-value for technical initiatives. Ability to translate high-level requirements into actionable compliance checklists.
Governance & Compliance: Hands-on experience with governance processes, data-privacy or risk reviews, or compliance checklists.
Collaboration & Facilitation: Skilled at running efficient stakeholder meetings: setting agendas, capturing action items, and driving decisions. Able to translate technical complexity into clear business terms.
Communication: Exceptional verbal and written communication, with the ability to influence cross-functional partners.
Mindset: Self-starter with rigorous follow-up discipline, owning the intake lifecycle from request through handoff. Adaptable, with a continuous-improvement mindset and a passion for optimizing processes.
Attention to Detail: High standard of data integrity and structured organization, and the ability to keep momentum across concurrent work streams in a fast-paced environment.
Preferred Qualifications
Experience with AI/ML or Gen AI project delivery.
Experience with capital planning, portfolio prioritization, or resource allocation workflows.
Ability to clearly describe complex processes in written documentation.
Comfort navigating ambiguity while balancing governance with agile execution.
Passion for exploring emerging technologies and productivity tools to automate team workflows.

