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Director Google Data Science Jobs (NOW HIRING)

Prophecy Technologies

Sr. Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

... Science * Offshore team coordination Must-Have Qualifications: * Extensive experience as a Senior Data Engineer with Google Data Engineering expertise * Strong understanding of ETL processes, data ...

Deloitte

Google Data Engineering Consultant

Rosslyn, VA

$130.50K - $156.70K/yr

This role works with engineers, data scientists, and business stakeholders to translate ... Support the development, testing, and deployment of applications and data pipelines on Google Cloud ...

New

LG Electronics

Network Data Analyst

Huntsville, AL · On-site

Required : • Bachelor's degree in Business, Economics, Data Science, or a related field (Data ... Google Data Studio). • Strong analytical and problem-solving skills with the ability to ...

Inmar

Director, Data Science

Chicago, IL

The Director, Data is responsible for applying data exploration and visualization, machine learning ... Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences ...

Inmar

Director, Data Science

New York, NY

The Director, Data is responsible for applying data exploration and visualization, machine learning ... Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences ...

INMAR, Inc.

Director, Data Science

Winston Salem, NC · On-site

The Director, Data is responsible for applying data exploration and visualization, machine learning ... Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences ...

Google

Data Center Analytics Engineer

Austin, TX · On-site

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. * 5 years ... Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by ...

Inmar

Director, Data Science

Winston Salem, NC

The Director, Data is responsible for applying data exploration and visualization, machine learning ... Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences ...

NOVUS

Director, Data Science

Chicago, IL · On-site

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and ... Google Ads Data Hub, or comparable), and structure Match-Market Tests (MMTs) and Brand Lift Studies ...

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How much do director google data science jobs pay per year?

As of May 31, 2026, the average yearly pay for director google data science in the United States is $154,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $189,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director of Google Data Science, and why are they important?

To thrive as a Director of Google Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant industry experience. Mastery of programming languages like Python or R, familiarity with big data platforms (such as BigQuery), and experience with cloud computing tools are essential, along with strong project management skills. Outstanding leadership, communication, and strategic vision are crucial soft skills for guiding teams and collaborating with stakeholders across the organization. These skills and qualities are vital for driving impactful data-driven decisions, fostering innovation, and successfully leading large, diverse data science teams.

How does a Director of Google Data Science typically collaborate with cross-functional teams to drive data-driven decision-making?

As a Director of Google Data Science, you will frequently lead and coordinate with product managers, engineers, designers, and business leaders to translate business goals into actionable data projects. This collaboration involves setting data strategy, defining key metrics, and ensuring that insights are integrated into product roadmaps and business decisions. You’ll also mentor data scientists, facilitate communication between technical and non-technical stakeholders, and help foster a culture of experimentation and innovation. Ensuring alignment across teams and managing priorities is a common challenge, but it’s crucial for maximizing the impact of data science on organizational objectives.

What does a Director of Google Data Science do?

A Director of Google Data Science leads teams of data scientists, analysts, and engineers to drive data-informed decision-making across the company. They are responsible for setting the strategic vision for data initiatives, overseeing the development of machine learning models and analytics solutions, and collaborating with cross-functional teams to solve complex business problems. This role also involves mentoring staff, managing large-scale projects, and ensuring that data practices align with Google's ethical standards and business goals.

What is the difference between Director Google Data Science vs Data Science Manager?

AspectDirector Google Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, overseeing multiple teams, setting visionTeam management, project execution, day-to-day operations
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data scienceBachelor's or Master's, strong technical and leadership skills
Work EnvironmentExecutive level, cross-functional collaboration, strategic planningTeam-focused, project management, technical oversight
Industry UsageCommon in large tech companies, corporate R&D divisionsWidely used across tech, finance, healthcare sectors

The main difference between a Director Google Data Science and a Data Science Manager lies in scope and focus. The Director typically handles strategic planning and oversees multiple teams, while the Manager focuses on project execution and team management. Both roles require strong technical backgrounds, but the Director's role is more executive and vision-oriented.

More about Director Google Data Science jobs
What cities are hiring for Director Google Data Science jobs? Cities with the most Director Google Data Science job openings:
What are the most commonly searched types of Google Data Science jobs? The most popular types of Google Data Science jobs are:
What states have the most Director Google Data Science jobs? States with the most job openings for Director Google Data Science jobs include:
What job categories do people searching Director Google Data Science jobs look for? The top searched job categories for Director Google Data Science jobs are:
Director Google Data Science jobs near you
Infographic showing various Director Google Data Science job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $154,873 per year, or $74.5 per hour.

Global Solutions Manager, Data, Google Cloud

Google

Austin, TX • On-site

Full-time

Posted 3 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

30th of 184 rated software companies

Job description

Job Summary:
Google is a leading technology company that offers cloud solutions to help businesses transform and innovate. As a Global Solutions Manager for Google Cloud, you will drive strategies and execution of solutions to enhance customer outcomes while collaborating with various teams to deliver impactful initiatives.
Responsibilities:
• Analyze customer needs and market opportunity to select and prioritize Google Cloud solutions across our Data pillar.
• Define and validate solutions with an end-to-end focus on technical and commercial readiness to accelerate customer adoption.
• Manage cross-functional collaboration to drive asset development.
• Enable low-friction customer consumption and deliver strong Google field enablement.
• Own and manage the ongoing lifecycle of each solution, including promoting awareness (internal and external, including partners) and evaluating success via measurement of business indicators (e.g. revenue, customer acquisition).
Qualifications:
Required:
• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 7 years of experience in a customer-facing role in the enterprise technology space.
• Experience with the AI/ML technologies as applied to data: MCP, Toolbox, ML lifecycle concepts, including model training, deployment, MLOps, or responsible AI practices.
• Experience working with cloud-based data infrastructure.
• Experience with the developer side of building applications and databases.
Preferred:
• Master's degree in Engineering, Computer Science, or related technical fields.
• Experience building AI/ML and data platform products for cloud customers.
• Experience shipping enterprise products to a developer or data science audience.
• Experience working with Google data platforms, including data analytics and databases.
• Experience with generative AI models and the open source community.
• Ability to translate complex technical topics into business-relevant narratives and work cross-functionally with sales, product, and engineering teams.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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