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Manager, HR - Data Science & Continuous Improvement

Chevron

Manager, HR - Data Science & Continuous Improvement

Chevron

Houston, Texas, United States of America

·

On-site

·

Full-time

·

3d ago

Total Number of Openings:

1

Analyzes workforce data to develop strategic insights to enable effective workforce planning and reporting. Evaluates workforce data, organizational staffing levels, current workforce talent, and anticipated talent needs. Recommends workforce operational and strategic changes to align with business needs and strategies.

Manages group and employee work to align with corporate/department objectives. Direct reports are typically M1 managers or professional level employees.

Chevron is accepting online applications for the position Manager, HR - Data Science & Continuous Improvement through04/19/2026 at11:59 p.m.

Central Time Zone.

Responsibilities for this position may include but are not limited to:

The HR Data Scientist & Continuous Improvement Manager partners with HR leaders to identify opportunities, solve workforce challenges, and deliver actionable insights using advanced analytics. The position also leads and prioritizes a portfolio of analytics and data infrastructure initiatives and manages a team of data scientists. This role requires advanced analytics and strong leadership skills.

Key Responsibilities

  • Develop scalable data products and repeatable analysis pipelines; improve data
    quality, governance, and documentation.
  • Lead continuous improvement initiatives that streamline HR analytics processes, reduce cycle time, and improve accuracy and stakeholder experience.
  • Create clear leader-ready narratives, dashboards, and visualizations that connect insights to business actions and outcomes.
  • Manage intake and prioritization of ad-hoc requests and strategic projects; set timelines, allocate resources, and track delivery.
  • Coach and develop a team of data scientists

Required Qualifications:

  • Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Economics, Analytics, or a related field.
  • Minimum of 7 years of experience in analytics, data science, or quantitative consulting, including delivering insights to senior leaders.
  • 3+ years of people leadership experience
  • Experience in People Analytics, HR analytics, or workforce planning within a large/complex organization.
  • Experience and understanding of Workday

Preferred Qualifications:

  • Proficiency in Python for analysis and modeling

Relocation Options:

Relocation is not offered for this role. Only local candidates will be considered.

International Considerations:

Expatriate assignments will not be considered.

Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.

U.S. Regulatory notice:

Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.

We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com.

Chevron participates in E-Verify in certain locations as required by law.

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About Chevron

Chevron

Chevron

Public

Chevron Corporation is an American multinational energy corporation predominantly specializing in oil and gas. The second-largest direct descendant of Standard Oil, and originally known as the Standard Oil Company of California, it is active in more than 180 countries.

10,001+

Employees

San Ramon

Headquarters

$182B

Valuation

Reviews

3.8

10 reviews

Work-life balance

3.2

Compensation

4.1

Culture

4.0

Career

3.4

Management

2.8

72%

Recommend to a friend

Pros

Excellent benefits and compensation

Supportive and collaborative colleagues

Good work-life balance

Cons

Bureaucratic processes

Frequent overtime and high pressure

Management lacks clear direction

Salary Ranges

14 data points

L2

L3

L4

L5

L6

L7

Mid/L4

Principal/L7

PSG 20

PSG 21

PSG 22

PSG 23

PSG 24

Senior/L5

Staff/L6

L2 · Data Scientist L2

0 reports

$131,301

total per year

Base

$52,520

Stock

$65,651

Bonus

$13,130

$91,911

$170,691

Interview experience

2 interviews

Difficulty

3.5

/ 5

Duration

14-28 weeks

Offer rate

50%

Interview process

1

Application Review

2

HR Screen

3

Technical Interview

4

Hiring Manager Interview

5

Final Round Interview

6

Offer

Common questions

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving

Culture Fit