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.
The Data and Analytics Services (DAS) team is a data hub for the Platforms and Devices (P&D) organization. Our mission is to empower the Devices organization with timely, accurate, and actionable data. We build and manage the centralized data warehouse, creating data pipelines and scalable analytics solutions on Google Cloud Platform. We are committed to upholding data quality, governance, and best practices, ensuring that data is a reliable and transformative asset for all of P&D.

In this role, you will drive Technical Program Management and agile execution to deliver critical business intelligence initiatives. Partnering closely with business stakeholders and engineering teams, you will manage technical roadmaps and prioritize feature requests. Your core focus will be building powerful business insights, managing data pipelines, and overseeing the end-to-end delivery of BI dashboards and reports utilizing platforms like Looker and Tableau. Furthermore, you will leverage GenAI solutions to automate insights, accelerate data-driven decision-making, and ensure seamless cross-functional alignment across the Devices and Services ecosystem.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices and Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices and Services team is making people's lives better through technology.

The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

• Partner with business stakeholders, partners, and engineering teams to drive feature request prioritization, manage technical roadmaps, and oversee end-to-end program tracking and management.

• Oversee project execution using agile methodologies, including scrum and sprint management, to ensure the timely delivery of key data initiatives.

• Manage the end-to-end delivery of business intelligence dashboards and reports, ensuring accurate, timely, and accessible data visualization for stakeholders.

• Manage the development and deployment of GenAI solutions to solve business problems and accelerate data-driven decision-making.

• Strengthen communication and visibility across business stakeholders, partners, and engineering teams, acting as a trusted partner to ensure alignment and seamless cross-functional execution.

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.

• 2 years of experience in program management.

• Experience in business intelligence and data visualization.

• Experience in SQL and data analytics tools or reporting platforms (e.g., Looker Studio, Tableau, Looker, Big Query, Snowflake).

Preferred qualifications

• 8 years of experience working in a data analytics development environment, with supply chain applications, through the project life-cycle.

• 2 years of experience managing cross-functional or cross-team projects.

• Experience in machine learning, ML data management, and tooling.

• Experience in leading development of analytics automation for one or more of supply chain verticals (e.g., planning, logistics, procurement, order management, etc.).

• Knowledge of Large Language Models (LLMs), Generative AI techniques, and applications (e.g., prompt engineering, RAG—Retrieval-Augmented Generation).

• Familiarity with ML/AI model-based solutions.