Technology & AI Portfolio Leader

HP Inc.
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Artificial Intelligence
Data Infrastructure
Yield Optimization

Job description

Seeking a highly motivated and experienced leader to own, govern, and scale the Industrial Print Technology & AI portfolio, ensuring that investments translate into measurable business value and deliverables are embedded into how teams work.

This role sits within the Strategic Enablement Office and operates across two complementary pillars: disciplined portfolio governance and organizational adoption.

What do we invest in, when, and is it working?

Portfolio Strategy & Roadmap. Translate Industrial Print strategic priorities into a coherent Technology & AI portfolio roadmap, distinguishing between data foundation, applied AI/ML, generative AI, and process automation initiatives - each with governance weight appropriate to its maturity and risk profile. Ensure every initiative carries a documented value hypothesis, success metrics including adoption targets, and a credible path beyond PoC.

Initiative Lifecycle Management. Own end-to-end initiative lifecycle: intake, assessment, prioritization, stage-gate progression, and retirement. Design stage-gate criteria calibrated to initiative type - lightweight for experiments, rigorous for scaled investments. Drive quarterly portfolio rebalancing based on evolving priorities and learned outcomes.

Funding & Budget Governance. Own investment allocation with explicit decision authority over funding releases at each stage gate. Partner with Finance to track spending against business outcomes. Manage trade-off decisions through a clear framework: ROI-based for scaling initiatives, learning-based for early-stage experiments.

Performance & Risk Management. Define and track portfolio KPIs across value realization, adoption depth, scalability readiness, and operational impact. Provide forward-looking risk intelligence with clear escalation paths and decision timelines.

How do we make this real in the way people work?

Operating Model Design. Define and institutionalize a common Technology & AI way-of-working framework covering intake, prioritization, delivery, adoption, and value tracking. Integrate into existing business rhythms and decision forums rather than creating parallel governance. Define clear roles and handoffs between business domains, data, IT, and delivery teams.

Technology Evangelization & Leadership Enablement. Serve as a trusted thought partner to Industrial Print leadership, demystifying AI and enabling confident decision-making. Build leadership fluency through domain-relevant briefings connecting AI capabilities to industrial print challenges: yield optimization, predictive maintenance, supply chain intelligence, customer workflow integration.

Adoption Enablement. Own adoption strategy for every portfolio initiative. Build playbooks tailored to initiative type and complexity. Identify adoption barriers early and design targeted interventions. Establish a network of domain-embedded change agents. Ensure no initiative advances to scaling without a credible adoption readiness signal.

Requirements

  • Demonstrated experience managing $10M+ investment portfolios with structured governance and outcome-based tracking.
  • Track record designing and embedding new ways of working that produced sustained behavioral change, not just process documentation.
  • Sufficient AI/ML technical literacy to evaluate feasibility, distinguish scalable architectures from PoC shortcuts, and challenge technical teams credibly.
  • Financial acumen with experience in business case development, investment prioritization, and budget governance.
  • Executive-level communication and influence; ability to be both the disciplined governor and the compelling evangelist depending on audience and moment.
  • Strong leadership and interpersonal skills, with the ability to collaborate across matrixed organizations and lead a global multi-disciplinary team.

Strong Differentiators:

  • Experience in industrial print, commercial print, or adjacent manufacturing domains.
  • Background spanning both portfolio management and organizational change.
  • Experience building adoption measurement frameworks beyond training completion rates.

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