Senior Technology Strategist

Job Summary

As a senior member of HP’s Technology & Innovation Organization (TIO) Strategy team, you will independently lead the development and articulation of enterprise‑level strategy that shapes HP’s future technology bets. This role sits at the intersection of AI, software, systems, and business strategy, responsible for sharpening HP’s long‑term aspiration, informing where‑to‑play and how‑to‑win choices, and defining new growth opportunities across emerging technologies and strategic whitespace.

You will bring a uniquely blended background: hands‑on experience working with AI, ML, or edge technology combined with strong strategic problem framing, business planning, and executive‑ready communication. You will connect the end‑to‑end chain from customer pain points to use cases to business model to technology stack, to shape HP’s next‑generation roadmap and create clear, actionable business plans. This is a high‑impact, high‑visibility role delivering insights and recommendations directly to HP’s executive leadership and Board.

Key Responsibilities Strategic Insight & Opportunity Identification

• Lead structured outside‑in analysis across emerging domains including GenAI, edge AI inferencing, multimodal capabilities, vertical‑specific AI workflows, device‑centric software, and future compute platforms
• Identify, validate, and size new opportunity areas by triangulating customer needs, industry trends, competitive moves, and HP’s differentiated assets
• Conduct segmentation, TAM/SAM modeling, business model evaluation, and scenario planning for next‑horizon bets

Business Planning & Strategic Choice‑Making

• Independently build robust, data‑driven business plans—including financial models, adoption forecasts, value chain analysis, pricing/monetization frameworks, and go‑to‑market implications
• Develop investment theses and strategic recommendations (build/partner/invest/acquire) including assessment of ecosystem dynamics and potential partners
• Translate customer jobs‑to‑be‑done and pain points into technology requirements that shape TIO’s architecture and product roadmap

Technology & Ecosystem Integration

• Engage deeply with technical leaders to understand HP’s capabilities across AI/ML, compute systems, runtime optimization, model compression, device software, cloud/edge hybrid architectures, and vertical workflows
• Build credible, technically informed perspectives on how emerging technologies unlock new business opportunities
• Maintain active engagement with startups, VCs, research labs, hyperscalers, and ecosystem partners to inform strategy and accelerate innovation

Executive Communication & Influence

• Develop crisp, compelling narratives for ELT and Board audiences—including framing, storyline, visualizations, and strategic implications
• Synthesize complex technical and market signals into clear, actionable choices for HP
• Influence cross‑functional leaders across TIO, Business Units, and Corporate Strategy to drive alignment and execution

What Success Looks Like

• Independently build business cases and recommendations that directly shape HP’s technology roadmap and investment decisions
• Can "talk the talk" with senior technologists while also framing complex choices for non‑technical executives
• Deliver clear, strategic narratives that are used in Board and ELT discussions
• Serve as a bridge between customer needs, HP’s technology stack, and commercial strategy
• Elevate the quality and pace of HP’s strategic decision‑making in AI, software, and innovation

Key Skills & Capabilities Strategic & Analytical Excellence

• Structured problem‑solving with the ability to break down ambiguous spaces and drive clarity
• Strong market modeling (TAM/SAM), competitive intelligence, ecosystem mapping, and scenario planning
• Deep experience with business model design and monetization strategies in AI, edge, SaaS, developer tools, or platform technologies

Technical Depth (Must‑Have)

• Prior hands‑on experience in AI/ML, software engineering, data systems, runtime optimization, model compression, or adjacent technical domains
• Ability to understand architecture trade‑offs and connect them to business value
• Fluency in emerging AI and software landscapes,…