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HPC Software & Storage Engineering Strategist

Ft. Collins, Colorado, United States of America, Bloomington, Minnesota, Spring, Texas, United States of AmericaPosted Oct 29

HPC Software & Storage Engineering Strategist

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description

The HPC Software & Storage Engineering Strategist is a senior individual contributor reporting directly to the Vice President of HPC Software & Storage Engineering. This role serves as a strategic advisor and operating partner to the VP and leadership team, providing analysis, planning, and organizational insight to inform workforce, investment, portfolio, and operating decisions.

The Strategist will develop and maintain an integrated, forward-looking view of the organization’s workforce, financial investments, engineering capacity, product, and sustaining obligations. The role will translate business and technology strategy into resource and investment requirements and provide leadership with clear recommendations regarding where to invest, rebalance, consolidate, or reduce investment.

This individual will work across Engineering, Finance, Product Management, Business Planning, Support, and other key stakeholders to ensure organizational resources are aligned with the HPC & AI strategy and roadmap.

The role is expected to move beyond reporting and analysis to identify trends, challenge assumptions, evaluate alternatives, and recommend actions.

Key Responsibilities

Workforce & Capacity Strategy

  • Own and maintain the HPC Software & Storage Engineering headcount forecast, including monthly actuals, forecasts, hiring plans, attrition assumptions, open positions, and organizational changes.
  • Develop and implement multi-year workforce and capacity models aligned with technology roadmaps, product commitments, platform schedules, sustaining requirements, and strategic priorities.
  • Work with the directors on future engineering commitments into required skills, capacity, and headcount.
  • Identify capacity gaps, skill gaps, organizational constraints, and areas of over- or under-investment.
  • Evaluate workforce allocation across new product development, platform enablement, sustaining, technical debt, and strategic initiatives.
  • Develop recommendations for resource reallocation and investment based on organizational priorities.
  • Model alternative workforce scenarios to support leadership decisions.

CAPEX, OPEX & Investment Strategy

  • Lead and implement the planning and management process for HPC Software & Storage Engineering CAPEX and OPEX.
  • Partner with Finance and engineering leadership to develop annual budgets, long-range plans, forecasts, and investment scenarios.
  • Maintain visibility into actual and forecast spending relative to plan.
  • Identify material variances, emerging risks, and opportunities and recommend corrective actions.
  • Connect engineering investments to strategic priorities, roadmap deliverables, and expected business outcomes.
  • Evaluate the financial implications of alternative roadmap, staffing, sourcing, and organizational decisions.
  • Provide leadership with recommendations regarding investment tradeoffs when resources are constrained.

Sustaining & Support Economics

  • Represent HPC Software R&D’s interests and requirements in defining software support policies, support durations, sustaining models, and funding requirements.
  • Establish an integrated view of the engineering resources consumed by sustaining and support obligations.
  • Evaluate sustaining headcount requirements against funding and capacity provided by the Support organization.
  • Quantify the cost to Engineering of delivering long-term product support and identify unfunded or underfunded obligations.
  • Assess whether support funding and staffing are commensurate with the engineering effort required to meet customer and contractual commitments.
  • Develop and implement agreed-upon recommendations regarding support duration, funding models, staffing levels, product lifecycle transitions, and end-of-support decisions.
  • Identify legacy products or commitments consuming disproportionate engineering capacity and make the associated investment tradeoffs visible to leadership.
  • Partner with Support, Product Management, Finance, and Engineering to establish sustainable support and funding models.

Portfolio Investment Strategy

  • Develop an integrated view of where HPC Software & Storage Engineering resources and dollars are invested across the portfolio.
  • Evaluate investment across strategic development, platform enablement, sustaining, technical debt, infrastructure, and other engineering commitments.
  • Assess whether current investment aligns with the organization’s strategic priorities and future roadmap.
  • Identify areas where investment should be increased, maintained, consolidated, reduced, or exited.
  • Evaluate the opportunity cost of continuing lower-priority or legacy investments.
  • Provide fact-based recommendations to support portfolio prioritization and resource allocation.
  • Establish mechanisms to measure whether investments are producing the intended engineering and business outcomes.

Long-Range Strategic Planning

  • Translate the HPC & AI technology and product strategy into multi-year workforce, capacity, and financial requirements.
  • Develop 12-, 24-, and 36-month views of organizational demand and investment requirements.
  • Identify future resource constraints and investment needs early enough to enable leadership action.
  • Partner with engineering and product leaders to understand upcoming technologies, platforms, and roadmap transitions and their implications for the organization.
  • Integrate workforce, financial, sustaining, and portfolio assumptions into long-range planning.
  • Develop scenarios that enable leadership to understand the consequences of alternative strategic choices.

Organizational & Scenario Modeling

  • Develop organizational scenarios to evaluate alternative structures, sourcing approaches, geographic strategies, and resource allocations.
  • Assess the financial, capacity, execution, and organizational implications of proposed changes.
  • Model make/buy/partner decisions where appropriate.
  • Provide objective analysis to support organizational design and investment decisions.

Strategic Analysis & Executive Decision Support

  • Serve as a strategic thought partner to the VP and leadership team on organizational, workforce, financial, and investment decisions.
  • Develop analyses that connect headcount, spending, engineering capacity, roadmap commitments, sustaining obligations, and business priorities.
  • Identify trends and emerging risks before they materially affect execution.
  • Frame complex decisions by clearly articulating alternatives, tradeoffs, risks, and recommended actions.
  • Challenge assumptions and provide an independent, data-driven perspective.
  • Develop concise executive-level materials for strategic planning, business reviews, portfolio reviews, and investment decisions.
  • Track major strategic decisions and evaluate whether the expected outcomes are being achieved.

Organizational Planning & Operating Rhythm

  • Establish and maintain a consistent operating cadence for workforce, financial, portfolio, and strategic planning.
  • Create a trusted source of in
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