Data & Analytics TPM: AI Prototyping to Production

AI Chopping Block, Inc.; New York (NY); On-site; USD 138,000 - 197,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google is seeking a Technical Program Manager to lead complex, multi-disciplinary initiatives across data, AI, and energy domains. You will partner with stakeholders to plan requirements, identify risks, manage schedules, and clearly communicate tradeoffs to executives and engineers.

As part of Google Cloud, you will build scalable analytics tools, supervise data pipelines, and drive prototypes to production with rigorous testing and deployment standards.

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.

Responsibilities

• 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.
• Collaborating on ETL data pipelines, building predictive and optimization models, implementing tooling visualization/application, configuration for deployment.
• Scale MVPs into production systems and work with software engineers to harden prototypes into production-grade solutions — establish testing, monitoring, code quality, and deployment standards then manage execution through to launch.
• Rapid AI prototyping with domain experts to shape problem framing and validate outputs.
• Coordinate cross-functional stakeholder groups to make data/model decisions and report progress on milestones.

Skills

Program management

Energy industry

Data engineering

Education

Bachelor's degree in a technical field

Master's degree in OR/Engineering/Economics or related

Tools

Data pipelines

Job description

Google is seeking a Technical Program Manager to lead complex, multi-disciplinary initiatives across data, AI, and energy domains. You will partner with stakeholders to plan requirements, identify risks, manage schedules, and clearly communicate tradeoffs to executives and engineers.

As part of Google Cloud, you will build scalable analytics tools, supervise data pipelines, and drive prototypes to production with rigorous testing and deployment standards.