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Topline & Sales Finance Strategy Manager
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Partner with GMs, Sales Operations and FP&A | Finance Strategy leadership to align multiple work streams, resolving conflicting priorities and assumptions with precision and professionalism.
Added 1 min ago
UM
Product Metadata Strategist
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…modernization, software development, data management, ISR, and mission…
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Tax Manager, International Tax Services
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…and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their…
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Program Project Management Lead 6586178
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New Business Development Director - Healthcare Finance (Oracle / Workday ERP)
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VP Data & AI FS
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…leaders across business, technology, data, risk, compliance, and operations…
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Research Assistant Professor, Research Associate Professor and Research Professor in Cyber Security
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…body of programs in cyber security, cyber analytics, and cyber operations. Rank will be determined based upon experience and credentials. This position serves as a research staff member of…
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Senior Business Analyst
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Google

Technical Program Manager, Data and Analytics

New York, NY, United States
Atlanta, GA, United States
Austin, TX, United States
Kirkland, WA, United States
San Francisco, CA, United States
Sunnyvale, CA, United States
Thornton, CO, United States

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Job details

Posting language: English

Original job description

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

The application window will be open until at least November 17, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Minimum qualifications:

Bachelor's degree in a technical field, or equivalent practical experience.
2 years of experience in program management.
2 years of experience in energy industry.
2 years of development experience in data engineering, data science, or application engineering.

Preferred qualifications:

Master's degree in Operations Research, Engineering, Economics, or a related quantitative field.
Experience in the energy sector, wholesale power markets, PPA/ESA structures, nodal pricing, load or price forecasting, storage economics, or carbon-free energy accounting.
Experience quickly building prototypes, and taking prototypes to production, including working with software engineers on testing, monitoring, and deployment standards.
Experience building full-stack analytics tooling, including data pipelines, backend services, and visualization or application front ends.
Ability to translate technical analysis into recommendations for executive and non-technical audiences.
Passionate about AI solutions and ability to quickly prototype to solve business challenges.

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.

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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Improve, maintain (including debug) and run machine learning/optimization models and other advanced analytical tools to centralize energy and power delivery and support energy agreement due diligence.
Collaborate on ETL data pipelines, building predictive and optimization models, implementing tooling visualization/application, configuration for deployment.
Scale Minimum Viable Product (MVPs) into production systems and work with software engineers to harden prototypes into production-grade solutions - establishing the testing, monitoring, code quality, and deployment standards then manage execution through to launch.
Rapid AI prototyping with domain experts directly with energy and data center domain experts to rapidly prototype AI-enabled solutions, using their expertise to shape the problem framing and validate outputs.
Coordinate cross-functional stakeholder groups to make decisions about data, feature requests, model development and give updates on ongoing work stream and key milestones.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Kirkland, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA; Thornton, CO, USA.

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