Director, AI Portfolio Platform Enablement

HP•Houston, TX

1d•$166,050 - $265,700

About The Position

The Director, AI Portfolio Platform Enablement owns the strategy, operating model, and cross-functional enablement needed to translate evolving agentic AI technologies into differentiated commercial portfolio choices. The role establishes decision frameworks, governance, data foundations, and planning mechanisms connecting customer needs, market signals, platform roadmaps, software experiences, services monetization, and portfolio economics. It turns uncertainty into structured, defensible recommendations that guide multi-year platform, ecosystem, architecture, and investment decisions. The Director leads a multidisciplinary portfolio strategy organization, aligns teams with competing financial, technical, customer, and operational priorities, and advises senior executives on portfolio direction and emerging AI opportunities. The position partners across Category, Engineering, Finance, Technology Strategy, Services, Supply Chain, and other functions. The role typically requires 12 or more years of related job and/or management experience, preferably in product marketing, product design, or a related field. The stated annual pay range is $166,050 to $265,700 USD, with additional bonus and/or equity opportunities for U.S. candidates.

Requirements

Four-year or graduate degree in Marketing, Business Administration, another related discipline, or commensurate work experience or demonstrated competence.
Typically 12 or more years of job-related and/or management experience.
Significant experience leading hardware, software, or integrated solutions portfolios.
Deep understanding of Agentic AI, emerging technologies, and 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 and skills in analytics, business strategies, data analysis, digital marketing, go-to-market strategy, key performance indicators, market research, marketing strategies, new product development, product management, product marketing, product strategy, project management, Agentic AI thought leadership, and value propositions.

Nice To Haves

Experience in product marketing, product design, or a related field is preferred.

Responsibilities

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 the Agentic AI portfolio maturity model, workload and customer-value segmentation, and repeatable portfolio architecture methods.
Own 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.