Google · 19 hours ago
Data Engineering Manager, AIM, Enterprise Platform
Mountain View, CA
Full-time
Onsite
Senior Level, Lead/Staff
$180K/yr - $267K/yr
10+ years expGoogle is a leading technology company, and they are seeking a Data Engineering Manager for Analytics, Insights and Measurement (AIM) and Enterprise Platform. In this role, you will drive the direction of the team, manage stakeholder relationships, and provide thought leadership to enhance data-driven decision-making across the organization.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Align executive cross-functional Ads stakeholders on a cross-functional process and discipline for the quantitative attribution of impact on key product initiatives
Provide thought leadership to executive leadership through proactive contributions; consistently using insights and analytics to drive decisions and alignment throughout the product organization
Define and report key performance indicators and launch impact as part of regular business reviews and contribute to metric-backed annual quarterly objectives and key results (OKR) setting
Build an understanding of the data sets used by Enterprise Platforms and partner teams, collaborating with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on our most impactful features
Anticipate and address issues as a trusted authority and critical domain expert. Conducting end-to-end problem-solving, including analysis and business cases
Qualification
Required
Bachelor's degree or equivalent practical experience
10 years of experience working with data infrastructure and data models by performing exploratory queries and scripts
5 years of experience coding in one or more programming languages, and designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal and external stacks
3 years of experience in a leadership role (e.g., technical leadership or people management, supervision, or team leadership)
Preferred
Advanced degree in a quantitative field such as: Statistics, Computer Science, Engineering, Mathematics, Economics, or Physics
10 years of experience with statistical data analysis (data mining and data querying), modeling, experimentation, and managing analytical projects
7 years of experience with statistical data analysis, modeling, experimentation, and causal inference to solve product and business problems
5 years of experience in developing and managing metrics or evaluating programs/products
Experience in running experimentation-based decision-making processes, both quantitatively (inference, stats, etc.) and organizationally (discipline, alignment, stakeholder management)
Excellent programming skills in SQL, Python or R
Benefits
Bonus
Equity
Benefits
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
10001+ employees
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
Recent News
2026-01-22
2026-01-22
2026-01-22
Company data provided by crunchbase