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Sr. People Scientist – Program Evaluation
Sr. People Scientist – Program EvaluationServiceNow • San Diego, California, USA
Sr. People Scientist – Program Evaluation

Sr. People Scientist – Program Evaluation

ServiceNow • San Diego, California, USA
1 day ago
Job type
  • Full-time
Job description

Job Summary

In this role the Sr. People Scientist will drive the measurement strategy to evaluate ServiceNows learning ecosystem serving employees customers and partners globally and conduct related workplace research. You will apply research methods and advanced analytical techniques to understand the impact of learning programs initiatives and technology generating insights that will inform strategic decision-making regarding investment in learning programs program design and platform optimization.

You must have excellentappliedresearch and quantitativeskillsas well ascommunication presentation and writing must have the ability to view all activities from an ecosystem lens to drive results. The ideal candidate has passion for and expertise inusing diversemethodologies to measure program success andinformbusiness decisions.

Key Roles and Responsibilities

  • Design and execute comprehensive program evaluation frameworks using established evaluation models and measurement theory principles
  • Partner cross-functionally with HR and business stakeholders toidentifyappropriate methodologytoaddressneeds and answerkeyorganizational questions
  • Analyze learning platform data including engagement metrics completion rates assessment scores learner feedback and longitudinal performance trends and conduct statistical analysis to identify relationships with key business outcomes
  • Translate complex data findings into clear actionable insights to drive program improvement and inform business decisions.
  • Manage research and program evaluationprojects from start to finish with minimal guidance
  • Design build and deploy surveys focused on training and program evaluation
  • Leverage emerging AI tools to enhance data analysis automate repetitive research tasks and generate faster moreaccurateinsights to supportpeopledecisions.

Qualifications :

Required Qualifications

  • Bachelors degree in Education Organizational Psychology Learning Sciences Statistics Data Science or related field; (Masters degree or higher strongly preferred)
  • Advanced proficiency in quantitative research methods including experimental design survey methodology and psychometric principles
  • Advanced proficiency in statistical analysis and data visualization tools (e.g. R Python Tableau Power BI)
  • Strong SQL skills and experience working with large complex datasets from multiple sources
  • 6 years of experience in program evaluation learning analytics or organizational research
  • Ability to initiate and drive research projects to completion with minimal guidance
  • Ability and motivation to work on multidisciplinary teams and gain expertise in cross-functional success metrics (e.g. sales engineering and finance metrics)
  • Strong business acumen skills including strong written communication data visualization and presentation to executive audiences
  • Preferred Qualifications

  • Demonstrated expertise applying measurement theory and evaluation frameworks to assess learning program effectiveness
  • Experience working with Learning Experience Platforms (LXP) Learning Management Systems (LMS) or similar learning technologies
  • Proven track record designing and executing evaluation studies that have influenced organizational learning strategy
  • For positions in this location we offer a base pay of $129300 - $226300 plus equity (when applicable) variable / incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location. We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

    Additional Information :

    Work Personas

    We approach our distributed world of work with flexibility and trust. Work personas (flexible remote or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

    Equal Opportunity Employer

    ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

    Accommodations

    We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance.

    Export Control Regulations

    For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

    From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license.

    Remote Work : No

    Employment Type : Full-time

    Key Skills

    Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

    Experience : years

    Vacancy : 1

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    Sr People Scientist Program Evaluation • San Diego, California, USA

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