Google
Join to apply for the
Research Lead, Future of Work
role at
Google Join to apply for the
Research Lead, Future of Work
role at
Google Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Human Resources, Psychology) or equivalent practical experience. 12 years of experience creating research/analytics programs through internally built tools or vendor relationships. 10 years of experience leading an applied-research team.
Minimum qualifications:
Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Human Resources, Psychology) or equivalent practical experience. 12 years of experience creating research/analytics programs through internally built tools or vendor relationships. 10 years of experience leading an applied-research team.
Preferred qualifications:
Master's or Ph.D. in a quantitative field (e.g., Psychology, Sociology, Management, Data Science). 12 years of experience in creating research products, in integrating qualitative, quantitative, and external data to provide impactful advice to HR and business leaders. Experience in transforming large datasets into compelling narratives through data visualization for professional and executive presentations. Ability to serve as a thought leader on the Future of Work, who can shape, direct, and give feedback to a technical team on data analysis and research methods. Excellent communicator with the ability to translate technical findings into clear, compelling narratives for the audience.
About The Job
At Google, data drives all of our decision-making, and our HR organization is no exception. The People Analytics team acts as an internal innovation lab, using analytical approaches to make sure Google continues to be a great place to work. The team provides critical support to the business around issues of organizational health and is responsible for not just taking the pulse of our Googlers, but harnessing Googler feedback to drive change for the better. As an analyst you'll be detail-oriented and conscientious, analytical and curious. You're a strong problem-solver, who uses both quantitative and qualitative methods to get things done. And on top of it all, you're someone who wonders "What if?" and then seeks out the solution.
The US base salary range for this full-time position is $218,000-$306,000 + 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
Connect with and forge collaborations with top academics and thought-leaders across disciplines. Translate complex technical findings and large datasets into clear, concise, and compelling narratives with visualizations for professional and executive audiences. Develop and execute a cross-disciplinary research plan to address complex questions. This plan will integrate insights from labor economics, developmental and cognitive psychology, and human-technology interaction, alongside industry trends, benchmarks, and best practices. Innovate and deliver insights rapidly, using methods and analyses to empower the organization with unique perspectives for innovative people and workforce strategies. Lead the team in experimenting with new insight-surfacing techniques. Define and frame the research agenda, identifying trends and translating them into actionable people strategies.
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 . Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function General Business, Strategy/Planning, and Consulting Industries Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Sign in to set job alerts for “Lead Researcher” roles.
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Research Lead, Future of Work
role at
Google Join to apply for the
Research Lead, Future of Work
role at
Google Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Human Resources, Psychology) or equivalent practical experience. 12 years of experience creating research/analytics programs through internally built tools or vendor relationships. 10 years of experience leading an applied-research team.
Minimum qualifications:
Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Human Resources, Psychology) or equivalent practical experience. 12 years of experience creating research/analytics programs through internally built tools or vendor relationships. 10 years of experience leading an applied-research team.
Preferred qualifications:
Master's or Ph.D. in a quantitative field (e.g., Psychology, Sociology, Management, Data Science). 12 years of experience in creating research products, in integrating qualitative, quantitative, and external data to provide impactful advice to HR and business leaders. Experience in transforming large datasets into compelling narratives through data visualization for professional and executive presentations. Ability to serve as a thought leader on the Future of Work, who can shape, direct, and give feedback to a technical team on data analysis and research methods. Excellent communicator with the ability to translate technical findings into clear, compelling narratives for the audience.
About The Job
At Google, data drives all of our decision-making, and our HR organization is no exception. The People Analytics team acts as an internal innovation lab, using analytical approaches to make sure Google continues to be a great place to work. The team provides critical support to the business around issues of organizational health and is responsible for not just taking the pulse of our Googlers, but harnessing Googler feedback to drive change for the better. As an analyst you'll be detail-oriented and conscientious, analytical and curious. You're a strong problem-solver, who uses both quantitative and qualitative methods to get things done. And on top of it all, you're someone who wonders "What if?" and then seeks out the solution.
The US base salary range for this full-time position is $218,000-$306,000 + 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
Connect with and forge collaborations with top academics and thought-leaders across disciplines. Translate complex technical findings and large datasets into clear, concise, and compelling narratives with visualizations for professional and executive audiences. Develop and execute a cross-disciplinary research plan to address complex questions. This plan will integrate insights from labor economics, developmental and cognitive psychology, and human-technology interaction, alongside industry trends, benchmarks, and best practices. Innovate and deliver insights rapidly, using methods and analyses to empower the organization with unique perspectives for innovative people and workforce strategies. Lead the team in experimenting with new insight-surfacing techniques. Define and frame the research agenda, identifying trends and translating them into actionable people strategies.
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 . Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function General Business, Strategy/Planning, and Consulting Industries Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Sign in to set job alerts for “Lead Researcher” roles.
San Mateo, CA $257,000.00-$338,000.00 2 weeks ago Sunnyvale, CA $100,000.00-$200,000.00 3 weeks ago San Jose, CA $185,900.00-$222,900.00 2 weeks ago Mountain View, CA $158,800.00-$218,100.00 3 weeks ago Senior Director of Product Management, Research Solutions
San Bruno, CA $256,000.00-$352,500.00 2 days ago San Jose, CA $185,900.00-$222,900.00 1 day ago Menlo Park, CA $168,000.00-$248,400.00 2 weeks ago Senior Research Associate, Purification/Analytical Chemistry
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Menlo Park, CA $70,000.00-$100,000.00 2 weeks ago Associate Post Masters Mental Health Fellow, Adult Team
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Menlo Park, CA $70,000.00-$100,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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