Program Manager II, Global Forecasting, Technical Infrastructure

Key Skills

Data Analytics, Data science techniques, Forecasting, Infrastructure as code, Operations, Program Management, SQL, Supply Chain Management

Job Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in program or project management.
• Experience with supply chain management, forecasting, and data analytics.

Preferred qualifications:

• 2 years of experience managing cross-functional or cross-team projects.
• Experience with constraint based planning (e.g.,labor capacity, logistics or materials planning.).
• Experience with supply chain projects across demand, supply, constraints management or customer service metrics.
• Experience with ERP transactional and planning systems.
• Knowledge of data science and SQL coding.

About the job

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.

Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

A Program Manager is accountable for partnering with groups across the Cloud Supply Chain Organization to design future state forecasting strategy and operationalize them as part of the monthly Fleet and Operations Planning (F&OP) process.

In this role, you will work in a matrixed organization and will be responsible for collaborating in solution design, creating storyboards, looking for improvement opportunities, leading performance management to deliver an accurate forecast and a demand planning process. You will partner with integrated planning, server operations, logistics and systems teams. You will provide leading-edge capability in the design and operationalization of forecasts and enable supply planning in order to deliver fast, cost-efficient and reliable technical infrastructure to the product teams.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $117,000-$172,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

Responsibilities

• Run the monthly Fleet and Operations Planning (F&OP) process, and do the forecast hand over for the logistics organizations.
• Design future state forecasting strategy.
• Leverage data science methodologies to help design and improve forecasting models.
• Provide support with reporting and improving forecasting metrics through periodic business reviews.
• Perform scans of the exterior environment to identify best practices and leading-edge capabilities for bringing next-generation solutions.