Technical Program Manager

PMs for Hire; Sunnyvale (CA); Hybrid; USD 177,000 - 198,000; Full time

Job summary

Google Cloud seeks a skilled TPM/analyst to predict capacity demand and develop supply plans, collaborating with cross-functional teams to optimize inventory and costs. The role emphasizes data-driven decision making and leadership in supply chain initiatives at the Sunnyvale office.

The position reports to the Sunnyvale, CA office with potential for a hybrid schedule per Google policy and offers a base salary and bonus package aligned with market norms.

Qualifications

• Bachelor's degree in a related field with 2 years of experience.
• 2 years of experience with SQL, SAP, CRM/ERP and supply chain planning systems.
• Experience leading cross-functional teams and performing ROI/NPV analyses for capacity planning.

Responsibilities

• Establish and utilize best methods (statistical models, processes and software tools) to predict Cloud capacity demand.
• Develop supply plans that balance shortage vs. excess and build vs. upgrade.
• Lead demand and supply planning meetings with cross-functional teams, reviewing risks, budget and efficiency goals, and inventory strategies.
• Own supply chain metrics such as forecast accuracy and bias, driving planning improvements.
• Develop strategic recommendations for Cloud leadership and collaborate with Eng Dev to drive automation initiatives.

Skills

SQL

SAP

CRM

ERP

Supply chain systems

ROI analysis

NPV analysis

Program management

Decision making

Risk analysis

Data analysis

Cross-functional leadership

Education

Bachelor's degree in Supply Chain, Operations Management, Industrial Engineering, or related field

Job description

Minimum Qualifications

• Bachelor’s degree in Supply Chain, Operations Management, Industrial Engineering, or a related field and 2 years of experience in the job offered or in a Technical Program Management-related occupation.
• Position requires 2 years of experience in the following: SQL, SAP, CRM, ERP and Supply Chain planning systems. Project or program management, quantitative assessment and analysis across multiple technical disciplines. Analyzing complex data sets to drive a plan of action using Return On Investment (ROI) and NPV (Net Present Value) analysis. Driving leadership forums through structured decision-making and risk analysis. Analyzing financial impacts for capacity investment decisions for unplanned demand using statistical volatility analysis

About The Job 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 $177,050 – $198,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.

Position reports to the Google Sunnyvale, CA office & may allow for a hybrid schedule as per Google policy.

Responsibilities

• Establish and utilize best methods (statistical models, processes and software tools) in predicting Cloud capacity demand
• Develop supply plans that optimize the trade-offs between shortage vs excess and build vs upgrade
• Lead demand and supply planning meetings with cross functional teams, reviewing demand/supply risks, budget and efficiency goals, and developing and justifying inventory buffer strategies that optimize cost and flexibility
• Own supply chain metrics such as forecast accuracy/bias and drive planning improvements
• Develop compelling, insightful strategic recommendations to the Cloud leadership team by framing and structuring complex, ambiguous, business implications across a range of available data sets and analysis. Drive process improvements and system enhancements in partnership with cross-functional teams and collaborate with the Engineering Dev team to drive Automation initiatives.