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About the Role

This role actively shapes how People & Places leaders and business partners access the insights they need to make thoughtful, data-informed decisions. You will lead the development of user-centered analytics products that simplify complex people data, improve self-service access to insights, and create meaningful change across the employee experience. This role brings together product strategy, data science, and cross-functional partnership to deliver practical, trusted tools for leaders across Expedia Group.

Responsibilities

Realize the AI transformation of generation, discovery, and delivery of people analytics products that help business leaders and human resources partners access timely, actionable insights.
Design, build, and improve self-service analytics products using data from multiple sources, with a focus on simple user experiences, clear visual storytelling, and measurable business impact.
Partner closely with analytics, data engineering, and machine learning teams to translate business needs into product requirements, prototypes, production solutions, and ongoing enhancements.
Measure adoption, engagement, and product effectiveness, using feedback, testing, and experimentation to refine features and improve outcomes over time.
Productionize machine learning models and automate recurring analytics workflows and strengthen product reliability through documentation, testing, monitoring, and sound development practices.
Share product best practices across the People Analytics team through demos, enablement materials, and knowledge exchange sessions that raise the bar on product thinking and user-centered design.

Requirements

6+ years experience in data science or analytics product roles, or a related field, with a strong track record of taking products from discovery and prototyping through launch, adoption, and iteration.
Proficient in SQL, R or Python, Tableau, and Claude Code or Codex.
Comfortable working with large, complex datasets in modern analytics environments, with a preference for experience in Workday, Qualtrics, Trino, and Databricks.
Experience turning machine learning models and AI capabilities into usable products by partnering effectively with data engineering and machine learning teams.
Apply product thinking, usability principles, and structured problem framing to create intuitive experiences that reduce manual effort and support better business decisions.
Strong judgment in data governance, privacy, and responsible artificial intelligence practices, including secure access, appropriate aggregation, and clear documentation.

Skills

SQL
R
Python
Tableau
Claude Code
Codex
Workday
Qualtrics
Trino
Databricks

Location

Seattle
New York

Work Type

Hybrid

Experience Level

Senior Manager
6+ years

Education Level

Master’s or doctoral degree in Analytics, Data Science, Computer Science, or related quantitative field

Salary/Compensations

Seattle: $173,000.00 - $242,500.00 (potential to $277,000.00)
New York: $187,000.00 - $261,500.00 (potential to $299,000.00)

Benefits

Medical coverage
Dental coverage
Vision coverage
Paid time off
Employee Assistance Program
Wellness reimbursement
Travel reimbursement
Travel discounts
International Airlines Travel Agent Network (IATAN) membership

About the Company

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
Across our brands and business, we help travelers explore the world with confidence and ease.

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.
This employer participates in E-Verify.
The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.