AI Portfolio / PMO Lead
Listed on 2026-08-07
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Business
AI Business & Operations, Business Intelligence, Change Management
A Career at HARMAN
As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.
Introduction:A Career at HARMAN Automotive
We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
- Engineer audio systems and integrated technology platforms that augment the driving experience
- Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
- Advance in-vehicle infotainment, safety, efficiency, and enjoyment
The AI Portfolio Lead is a senior individual contributor responsible for driving operational excellence, portfolio governance, and execution cadence across a divisional AI portfolio. The role owns the management rhythms that keep AI initiatives aligned, transparent, and moving from demand intake through adoption and value realization, including portfolio dashboards, governance forums, decision logs, action tracking, duplicate-project reviews, risk and dependency tracking, and leadership-ready reporting.
This role requires strong program management, analytical, stakeholder management, and communication skills to provide leaders with clear visibility into portfolio health, priorities, decisions, outcomes, and risks while partnering across business, product, technology, finance, change, delivery, and governance teams.
Establish and maintain the divisional AI portfolio operating cadence, including intake reviews, governance forums, leadership reviews, planning cycles, and performance review rhythms.
Manage the divisional AI backlog, including demand intake, prioritization support, cohort planning, readiness tracking, and alignment to business priorities.
Own risk, issue, action, decision, and dependency tracking, including decision logs, action registers, milestone visibility, and follow-through routines so commitments and escalations are visible and addressed.
Lead duplicate-project reviews and portfolio rationalization efforts to identify overlap, improve resource utilization, and align AI investments to the highest-value opportunities.
Executive Reporting, Analytics, and Portfolio TransparencyDevelop and maintain executive dashboards, KPIs, scorecards, and portfolio analytics that provide clear visibility into initiative health, performance risks, decisions, and outcomes.
Prepare leadership-ready portfolio materials that synthesize complex information into concise insights, decision points, and recommended actions.
Drive reporting consistency, data quality, and governance standards across the divisional AI portfolio.
Maintain project hygiene and portfolio transparency across intake, prioritization, delivery, adoption, and value-realization stages.
Change, Adoption, and EnablementOwn business-specific adoption planning, including impacted roles, stakeholder engagement, enablement needs, communications, and reinforcement approach.
Coordinate training reinforcement, leadership talking points, adoption communications, and feedback loops after launch.
Identify adoption risks, resistance patterns, readiness gaps, and operational blockers; recommend practical actions to improve uptake and sustainability.
Facilitate alignment across business, product, technology, finance, delivery, and operational teams to resolve conflicts and optimize portfolio outcomes.
Finance, Value, and Benefits RealizationPartner with business finance and controllership stakeholders to validate baselines, benefit formulas, assumptions, and realized impact.
Support KPI design, including direct and indirect benefit definitions, operational metrics, expected value, and value tracking cadence.
Track expected versus realized value and surface variance drivers when benefits are unclear, delayed, or at risk.
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