Business Data Science Manager, Global Business Strategy and Operations

Google

Mountain View, CA

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JOB DETAILS

JOB TYPE

Full-time, Employee

SKILLS

A/B Testing, Advertising Design, Analysis Skills, Business Growth, Business Intelligence, Business Operations, Business Strategy, Communication Skills, Data Analysis, Data Collection, Data Management, Data Science, Data Warehousing, Database Analysis, Defense Intelligence Agency (DIA), Econometric Modeling, Equal Employment Opportunity (EEO), Finance, Financial Strategy, Forecasting, Identify Issues, International Business, International Sales, Leadership, Mentoring, People Management, Predictive Modeling, Problem Solving Skills, Process Improvement, Python Programming/Scripting Language, R Programming Language, Resource Management, SQL (Structured Query Language), Sales, Statistics, Team Player, Technical Leadership

LOCATION

Mountain View, CA

POSTED

13 days ago

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.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA.

Minimum qualifications:

Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
3 years of people management experience building, mentoring, and scaling technical teams of data scientists or engineers.
Experience in SQL, and Python.

Preferred qualifications:

9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
8 years of experience in data science, advanced analytics, or business intelligence within enterprise or tech environments.
4 years of experience as a people manager within a technical leadership role.
Proficiency in SQL, Python/R, data warehouse architecture (e.g., BigQuery), and data transformation pipelines.
Track record developing predictive propensity models and causal inference frameworks (A/B testing, incrementality).
Excellent communication and stakeholder management skills, with demonstrated success partnering with executive leadership teams.

About the job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. Global Business Strategy and Operations (GBS&O) is part of the Go-to-Market organization making sure Google's business pursues the strategy and executes. GBS&O architects the future of Google’s global ads business, consisting of pragmatic and investigative and experts in business operations. We build creative ML and Data Science solutions to drive strategy and business impact. We help our organization make tough, smart, and difficult decisions to ensure the Ads Business continues to thrive.In this role, you will oversee advanced data science and causal inference initiatives that influence core business strategies. Your team will solve business problems across channel architecture optimization, global business organization (GBO) ads policy analytics (identifying business growth and policy enforcement opportunities), and CustomerGeist customer sentiment analytics. By partnering closely with global sales leadership, finance, and strategy teams, you will build econometric models and causal inference frameworks that unlock scalable commercial insights and fundamentally elevate GBO's analytical excellence.You will design and lead analyses and build data infrastructure that drive major decisions across GBO. You will develop your team into a global center of excellence that elevates GBO's excellence, translating data foundation and insights into transformative commercial strategy.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $279000 (USD) + 20% bonus target + bonus + equity + benefitsLearn more about benefits at Google.

Responsibilities

Manage and mentor a team of Business Data Scientists, fostering a culture of experimentation, excellence, and collaboration within GBS&O Data, Insights, and Analytics (DIA). Act as a Leader within GBS&O driving excellence across the team, and within GTM.
Oversee the development and global scaling of investigative solutions, such as causal inference, experimentation, forecasting, and data infrastructure to drive crucial decisions.
Act as a thought partner to executive GTM, Finance, and StratOps Executives. Translate business problems into data-driven frameworks that guide executive decision-making and actionable commercial strategies (such as sales incentive designs, optimal ads policies, and resource allocation frameworks).
Direct the end-to-end lifecycle of internal investigative products from problem identification to production deployment.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Company

Google

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Benefits

We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Learn more about Google’s benefits on this site featuring Googlers’ experience.

How we Hire

Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

Learn more about our hiring process.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Computer Software

EMPLOYEE BENEFITS

Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria

FOUNDED

1998

WEBSITE

https://goo.gle/4dbno6V