Cross Functional Program Manager, Google Data Center Operations
GoogleThe Dalles, Oregon
Full-time
Salary
$192k–$278k/ annually
Free account to apply · application completed on Google
Salary
$192k–$278k/ annually
Free account to apply · application completed on Google
MINIMUM QUALIFICATIONS:
* Bachelor's degree in a technical field, or equivalent practical experience.
* 8 years of experience in program management at data centers, manufacturing,
oil and gas, or other 24x7 operations.
PREFERRED QUALIFICATIONS:
* 10 years of experience in program management at data centers, manufacturing,
oil and gas, or other 24x7 operations.
* Ability to navigate through ambiguity to define and drive cross-functional
programs in large work groups that span multiple teams.
* Possess advanced planning, continuous improvement, organizational change, and
stakeholder management skills.
* Demonstrated skills in problem solving and 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.
As the Global Technical Program Manager for the Cross Functional Program (CFP),
Google Data Center Operations Tiered Meeting Structure, you will advocate and
continually optimize this strategic initiative to drive consistency, efficiency,
and economies of scale. You will own and restructure CFP to bring
cross-functional partner teams, such as GSO running the server floor, Data
Center Operations (DCOps) managing infrastructure, and EHS ensuring safety,
together for highly productive site-level operational discussions. You will
apply the proper program accuracy to transition localized, 5-minute check-in
meetings into a structured operational framework that resolves cross-functional
dependencies and accelerates Machine Learning (ML) deployments.
You will accomplish this by taking a step to establish the necessary
foundational structure, developing a program charter, Business Requirements
Documents (BRDs), RACI matrices, and process flow charts with swimlanes. You
will also orchestrate the program strategy, define the tiered engagement model,
and build the governance structure needed to ensure the program scales with
exponential business growth.
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.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Design and launch the global CFP structured engagement model, standardizing
business rhythms across all tiers to ensure uniform decision-making.
* Establish strict program accuracy by developing foundational artifacts from
scratch, including charters, BRDs, RACI models, and detailed workflow charts.
* Govern performance through Data Center KPI scorecards, defining key metrics
and clear escalation paths to address underperformance.
* Lead change management to promote proactive, high-velocity operational
planning, continuously refining and scaling processes to support business
growth.
* Deploy AI/ML technologies to solve complex problems, automate administrative
tasks, and deliver scalable business impact.
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