Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 5 years of experience in program management.
- Experience in spreadsheet modeling (i.e., Scenario Planning, Monte Carlo simulation, Sensitivity Analysis).
- Experience in cloud capacity planning.
Preferred qualifications:
- Master's degree or equivalent practical experience.
- 5 years of experience managing cross-functional or cross-team projects.
- Experience with product and technical aspects of infrastructure, cloud, and enterprise (B2B) businesses.
- Experience supporting Cloud Leadership by synthesizing business context, Risk/Opportunities, and organizational priorities to deliver business goals.
- Experience with stakeholder management with the ability to deliver effective presentations with insights and recommendations to multiple levels of stakeholders and to create relationships and collaborate at all organizational levels with various cross-functional partners (e.g., Product, Sales, Finance, Engineering, Supply Chain).
- Excellent problem-solving, investigative, communication skills, particularly with executive-level stakeholders.
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
As a part of the Machine Planning and Fulfillment team member, you will be in the front line of a new disrupting and fast paced Cloud product area. You will help drive Forecasting and Execution strategies by orchestrating alignment across Technical Program Manager's, Program Manager's and Data Science teams and incorporating business intelligence and baseline/event driven inputs.
In this role, you will drive process/system improvement initiatives with cross-functional teams. You will also drive portfolio-wide business strategies, policies, and standard operating procedures to drive scale.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about
benefits at Google.
- Lead Capacity Planning to support Cloud growth and enable $xx Business (with $xxxM Inventory Efficiency goal/Annual Operational Expenditure Spend of $xB) by driving Machine Capacity Deployment.
- Manage Capacity Demand/Supply planning through cross-functional engagement (via D/S Reviews, Sales and Operations Planning (S&OPs), MBRs/WBRs, and Steering Committees) to minimize capacity risks impacting Business, Spend, and Efficiency goals.
- Drive capacity deployment strategies maximizing capacity availability to enable business while optimizing cost-to-serve to deliver Margin$/%.
- Develop capacity recommendations to the Cloud leadership by framing and structuring ambiguous, business implications across a range of available data sets and analysis.
- Drive process improvements and system enhancements in partnership with cross-functional teams. Collaborate with the Engineering Developer team to drive System Automation initiatives.
