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# Director, AI Portfolio Platform Enablement

- **Company:** HP Inc
- **Location:** Houston, TX, United States
- **Salary:** $166,050.0 - $265,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Data Governance, Data Infrastructure, Virtualization Technology, Agentic-AI
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/director-ai-portfolio-platform-enablement-houston-tx--dbd04de7-25ba-4d9c-b28a-cba19a5ada25

## About the Role

Artificial Intelligence (AI), Economics, Ecosystems, Artificial Intelligence (AI), Cross-Functional, Market Analysis, Establish Priorities, Resource Management, Stock Keeping Unit (SKU), Cost Control, * Four-year or Graduate Degree in Marketing, Business Administration, or any other related discipline or commensurate work experience or demonstrated competence.

 * Typically has 12+ years of job-related and/or management experience, preferably in product marketing, product design, or a related field.

Experience Recommended

 * Significant experience leading hardware, software, or integrated solutions portfolios.
 * Deep understanding of Agentic AI, emerging technologies, customer needs.
 * Product management background with AI/ML exposure.
 * Demonstrated success driving integrated strategic planning in a complex global organization.
 * Experience influencing senior-level cross-functional stakeholders and executive relationships.
 * Strong understanding of commercial computing, endpoint devices, cloud computing, virtualization ecosystems, and enterprise customer requirements.
 * Proven ability to drive portfolio revenue growth and profitability.

Knowledge & Skills

 * Analytics
 * Business Strategies
 * Data Analysis
 * Digital Marketing
 * Go-to-Market Strategy
 * Key Performance Indicators
 * Market Research
 * Marketing Strategies
 * New Product Development

## Description

The Director, AI Portfolio Platform Enablement owns the strategy, operating model, and cross-functional enablement required to translate evolving agentic AI technologies into differentiated commercial portfolio choices. The role establishes the decision frameworks, governance, data foundations, and planning mechanisms that connect customer needs, market signals, platform roadmaps, software experiences, services monetization, and portfolio economics. This leader converts uncertainty into structured, defensible recommendations that guide multi-year platform, ecosystem, architecture, and investment decisions., * Design and operationalize AI-enabled portfolio planning workflows that continuously evaluate market, customer, technology, competitive, and financial signals.

 * Build decision frameworks for portfolio prioritization, roadmap choices, resource allocation, SKU optimization, and cost-of-complexity management.
 * Develop portfolio scenarios and trade-off models across growth, margin, customer value, technology readiness, adoption uncertainty, and ecosystem economics.
 * Own the development and evolution of Agentic AI portfolio maturity model, workload and customer-value segmentation, and repeatable portfolio architecture methods.
 * Own the decision frameworks used to evaluate platform roadmaps, technology transitions, portfolio trade-offs, and resource allocation decisions.
 * Own portfolio architecture, technology transition, and complexity reduction strategies across the Commercial PC portfolio.
 * Partner with Category, Engineering, Finance, Technology Strategy, Services, Supply Chain, and other stakeholders to translate AI-generated insights into actionable recommendations and executive decisions.
 * Establish governance, guardrails, data standards, and human-in-the-loop mechanisms so AI-supported recommendations are transparent, responsible, defensible, and decision-ready.
 * Lead a multidisciplinary portfolio strategy organization and align teams with competing financial, technical, customer, and operational priorities.
 * Present strategy, investment recommendations, risks, and trade-offs to senior executives, serving as a trusted advisor on portfolio direction and emerging AI opportunities.