Applied AI Strategy Business Planning Lead - Chief of Staff
HP Inc.
- Location
- Spring Texas United States of America
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 37 approvals (FY2023)
- Posted
- 19h ago
About this role
Applied AI Strategy Business Planning Lead - Chief of Staff Description - HP's Applied AI organization is at the center of HP's enterprise AI transformation. The team builds internal AI solutions, runs the AI platform, develops new AI tools and infrastructure, and enables AI training and adoption for employees across the company. We are seeking a highly organized, strategic, and execution-oriented senior professional to serve as the Strategy & Business Planning Lead for Applied AI. This person will act as an operating partner to the VP, Head of Applied AI, helping a 120+ person organization run with clarity, discipline, and speed while ensuring the team is well represented with senior leaders and cross-functional partners. The ideal candidate is a strong collaborator and executive communicator who can manage a continual flow of leadership requests, synthesize complex AI and technology work into crisp narratives, maintain financial and operational discipline, and drive coordination across leaders, workstreams, and peer Chief of Staff / business operations teams.
Key responsibilities
Executive communications and storytelling Develop high-quality presentation materials for C-suite and senior executive audiences, including strategy updates, operating reviews, transformation narratives, investment cases, and progress reports. Partner with Applied AI leaders to translate technical AI, platform, infrastructure, and product work into clear business narratives and measurable outcomes for HP. Create reusable communication frameworks and establish recurring forums to improve how Applied AI explains its strategy, priorities, and impact. Operating rhythm and organizational effectiveness Design and manage the Applied AI operating cadence, including staff meetings, leadership meetings, business reviews, OKR checkpoints, team-wide meetings, planning cycles, and offsites. Drive the annual and quarterly priority-setting process, ensuring goals, OKRs, milestones, dependencies, and owners are clear across the organization. Coordinate internally facing initiatives that improve team effectiveness, coordination, engagement, planning discipline, and cross-functional alignment. Partner with finance, HR, and Applied AI leadership to maintain budget, forecast, headcount, contractor, vendor, and investment trackers. Transformation initiatives Engage regularly with Chiefs of Staffs, strategy teams, and peer organizations across HP to share information, resolve dependencies, and align on enterprise initiatives. Lead or coordinate high-priority special projects for Digital, especially initiatives that cut across multiple teams or require executive visibility. Bring structured problem solving, analytical rigor, and practical judgment to ambiguous business and operating challenges. Required capabilities and qualifications 10+ years of experience in business operations, strategy and planning, Chief of Staff roles, program / portfolio management, transformation, consulting, or a related field. Exceptional executive communication skills, including the ability to build clear, concise, visually strong presentations for C-suite and senior leadership audiences. Strong business acumen and financial literacy, including comfort with budgets, headcount / resource planning, and operational metrics. Demonstrated ability to manage complex intake, competing priorities, multiple stakeholders, and fast-moving deadlines with minimal supervision. Strong collaboration and influencing skills; able to work through leaders and peers without direct authority and build trust across functions. Technical fluency and curiosity: ability to understand AI, data, software, platform, infrastructure, and responsible AI concepts well enough to translate them into business-relevant narratives and operating plans. Bachelor's degree required; MBA, MS, or advanced degree preferred.
Preferred qualifications
Experience working in or supporting AI, data science, software engineering, cloud /