The role involves four key areas of responsibility: capacity planning and execution, leadership support and technical expertise, data-driven decision making and operational effectiveness, and cross-functional collaboration and communication. The primary objectives include developing and executing infra capacity plans, providing technical proficiency to leaders, analyzing data to inform capacity decisions, and driving long-term capacity roadmap planning. Additionally, the role requires building robust relationships with internal partners, drafting technical communications, and representing the VP of capacity product management in executive leadership discussions. Overall, the role demands a strategic and collaborative approach to drive business outcomes and ensure alignment with internal and customer needs.
Responsibilities
Capacity Planning and Execution: Develop, ratify, and execute infra capacity ops and strategic plans, ensuring internal and customer alignment Capacity Planning and Execution: Mitigate risks and develop mitigation strategies Leadership Support and Technical Expertise: Provide technical expertise to prepare leaders for internal and external meetings Leadership Support and Technical Expertise: Represent VP of capacity product management in executive leadership XFN discussions Leadership Support and Technical Expertise: Create documents and presentations to frame important decisions and initiatives Data-Driven Decision Making and Operational Excellence: Measure effectiveness, collect insights, and analyze data to inform capacity decisions Data-Driven Decision Making and Operational Efficiency: Drive long-term capacity roadmap planning with partner organizations Data-Driven Decision Making and Operational Excellence: Scope, manage, execute, and track priority workstreams on behalf of leadership Data-Driven Decision Making and Operational Efficiency: Define cohesive operations strategy to bolster PM team efficiency and effectiveness Cross-Functional Collaboration and Communication: Leverage and influence cross-functional relationships to drive touch points and leadership processes Cross-Functional Collaboration and Communication: Build effective working relationships with internal partners (Finance, HR, product, etc.) Cross-Functional Collaboration and Communication: Draft routine technical communications for internal posts, All-Hands, Q&As, etc This role requires extensive partnering with the HQ in US and hence flexibility in working hours may be needed Up to 25% travel required
Qualifications
Bachelor's degree in a directly related field, or equivalent practical experience 12+ years work experience or equivalent degree involving analytical and operational rigor as typically seen in, but not limited to, functions such as management strategy consulting, finance, business operations, project management, or sales planning and operations Experience working with cross-functional teams in a large scale technology or hyperscaler environment Experience and familiarity with data center capacity planning, prioritization and management Experience in aligning and managing stakeholders at executive levels Experience leading multiple complex projects and tasks under tight timelines and shifting priorities Demonstrated experience context switching and connecting the dots across many different topics and stakeholders Demonstrated experience synthesizing information into a clear and cohesive narrative Demonstrated understanding of hyperscale capacity allocation methodology and interdependencies as well as the supporting tools Demonstrated people management, influencing and coaching skills, with direct and cross-functional teams Experience building and scaling entirely new initiatives or programs, from defining the strategy to execution and management post-launch Demonstrated communication and presentation skills with an emphasis on translating insights and data into actionable recommendations for leaders Demonstrated problem solving and analysis skills, experience solving complex and multifaceted business problems (commercial, operational, organizational) Experience effectively navigating through ambiguity and complexity to overcome obstacles with little to moderate direction Demonstrable success as a leader of change, achieving operational improvements and success by introducing new performance measures, processes and systems Experience working directly with leadership and stakeholders at all levels, including executive and C-suite, both inside and outside of an organization Experience handling highly confidential information Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies