Data Engineering Manager, AIM, Enterprise Platform
Company: Google
Location: Mountain View
Posted on: April 3, 2026
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Job Description:
Minimum qualifications: 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
qualifications: 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.
About the job The AIM Data Science team provides quantitative
support, market understanding and a perspective to our partners
throughout the organization, in close collaboration with the Ads
and Commerce Finance team. Our success is measured by our ability
to help partners make better, faster decisions. We prioritize
insights over purely academic analyses. We focus on the most
critical business issues, particularly engaged positioning and
product features to drive the most significant impact. We aim to
scale our impact by empowering partners with the tools they need to
answer their own questions through clean datasets, automated
dashboards, and clear documentation. We are responsible for
translating data into clear business logic. We invest in data
infrastructure, documentation, and metric definitions to ensure
consistency and reliability. As a Data Engineering Manager for
Analytics, Insights and Measurement (AIM) and Enterprise Platform,
you will help drive the goal of how large advertisers buy Google
and third-party advertising inventory efficiently. You will be
responsible for setting the team's direction, managing stakeholder
relationships. The US base salary range for this full-time position
is $186,000-$270,000 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 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.
Keywords: Google, Walnut Creek , Data Engineering Manager, AIM, Enterprise Platform, IT / Software / Systems , Mountain View, California
