Technical Program Manager, Machine Learning Operations and Maintenance - Google
Sunnyvale, CA
About the Job
Minimum qualifications:
- Bachelor's degree in a relevant field, or equivalent practical experience.
- 8 years of experience in critical operations, global change management, supply chain, risk management, or technical program management
- Experience in managing and coordinating work with multiple vendors and external partners in a 24x7 or event based time constrained environment.
- Experience in electrical/power and mechanical/cooling engineering and equipment.
- Experience with global change governance and maintenance in data centers, manufacturing or 24x7 operations.
Preferred qualifications:
- 8 years of experience managing cross-functional or cross-team projects.
- Experience with driving cross-organizational changes and workflow improvements.
- Experience in managing time-sensitive and excellent communication with executive leadership in large companies or a global customer-facing impact management.
- Ability to travel 40-50% of the time as needed.
- Excellent skills in problem-solving and advanced data analytics.
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 Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.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.
The Central Operations (Ops) team globally manages programs and standards for the data center site operations. The functions provide operational execution support (e.g., Incident Management, Fleet Deployment, Spares and Maintenance Planning) along with program oversight (e.g., Operational Assessments, Data Quality, Business Process support) and transformation program partnership with the field operations. The team also supports new product introductions into the fleet.
As a part of Central Programs, Processes and Planning Operations pillar in Central Ops, our goal is to enable data-driven decisions through standardized, continuous and scalable business processes and data quality improvements.
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 $168,000-$252,000 + 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
- Learn, document and align Machine Learning (ML) workload dependencies on power and cooling infrastructure and various triggers for load shedding. Translate those dependencies into operational guidelines and Service Level Objectives (SLOs) for planned and unplanned downtime.
- Develop, communicate and implement a Maintenance SLO policy for Data Center Operations (DCOps) with an exception and a change management plan and update guidance for site operations to manage work within the maintenance SLOs.
- Develop and implement a global strategy and a playbook for shutdown/turnaround maintenance for facilities operations.
- Design, develop and implement a sustaining planned downtime communications solution supporting both internal and external Cloud customers in partnership with the incident management team.
- Work with partner teams to implement programmatic changes to supply chain, resource planning, contracting, security, environmental and others processes impacted from a parallel maintenance approach.