Principal AI GTM Programs & Transformation

Principal AI GTM Programs & Transformation

Description -

You will lead HP's most strategic AI programs and executive-sponsored initiatives from concept through execution, working across customers, partners, sales, product, engineering, services, and executive leadership.

This role combines program leadership, AI transformation, and technical credibility, helping HP accelerate AI adoption while driving measurable business outcomes across strategic industries and ecosystem partnerships.

Your job is to help answer the questions that will define HP's AI future:

• How do we accelerate AI adoption across key industries and market segments?
• What becomes possible when AI agents, enterprise knowledge, automation, and human expertise work together?
• How do we turn emerging AI technologies into repeatable and scalable business outcomes?
• How can HP help customers move from AI pilots to enterprise-wide transformation?
• How can HP become a leading example of effective enterprise AI adoption?

This is a high-impact role for a leader who can operate at the intersection of AI technology, strategic programs, customer engagement, ecosystem partnerships, and business transformation.

What You’ll Do

• Serve as the primary program leader for complex, cross-functional initiatives involving business, engineering, customer, product, and partner stakeholders.
• Champion AI adoption by developing methodologies, playbooks, and best practices that help organizations operationalize AI.
• Translate leadership priorities into executable plans, workstreams, milestones, and measurable outcomes.
• Drive alignment across multiple organizations while proactively identifying risks, removing blockers, and accelerating execution.
• Develop executive communications, status updates, recommendations, and decision frameworks for senior leadership.
• Establish repeatable operating models and best practices for future AI initiatives and transformation programs.
• Develop an AI adoption strategy that showcases the value of HP AI Stations across strategic customers, industries, and ecosystem partners
• Translate emerging AI capabilities into scalable solutions that deliver measurable business outcomes.
• Represent HP in strategic customer, partner, analyst, and industry engagements related to AI transformation.

What Makes This Different

Enterprise AI is entering its most important phase. Many organizations have experimented with AI. Few have successfully scaled it.

Most AI roles focus on building technology. Most program roles focus on managing execution. This role combines both.

You will have the opportunity to lead strategic initiatives that shape HP's AI business while maintaining enough technical depth to influence solution direction, evaluate emerging technologies, and help customers successfully adopt AI at scale.

What We’re Looking For

• Significant hands-on experience designing, building, and scaling AI, machine learning, and generative AI solutions in enterprise environments, with proficiency in Python, modern AI frameworks, LLMs, RAG architectures, AI agents, and cloud-native AI platforms.
• Deep understanding of modern AI technologies, including LLMs, RAG architectures, AI agents, enterprise search, and intelligent automation.
• Experience translating technical capabilities into business outcomes.
• Strong analytical skills and the ability to solve complex problems in ambiguous environments.
• Excellent communication, storytelling, and executive presentation skills.
• Ability to influence across engineering, product, sales, marketing, services, partner, and leadership organizations.
• Demonstrated curiosity about emerging technologies and business transformation.

Education & Experience Requiered

• Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, Business, or a related discipline, or equivalent combination of education and executive-level experience.
• Typically 12+ years of experience spanning artificial intelligence, machine learning, software engineering, data science, digital transformation, technical consulting, strategy, or business leadership roles.
• Proven track record leading large-scale, cross-functional programs, strategic initiatives, or business transformation efforts with executive visibility.
• Significant experience designing, building, deploying, or scaling AI, machine learning, automation, or generative AI solutions in enterprise environments.
• Demonstrated success translating emerging technologies into measurable business outcomes and executive-level business value.
• Experience