Senior Manager, Employee Listening & Insights

Johnson & Johnson Co.; Bogotá; On-site; COP 15,000,000 - 21,000,000; Full time

Job summary

Johnson & Johnson is seeking a Manager, Employee Listening to advance an always-on listening program and turn signals into strategic HR actions. You will work across data science, survey design, and leadership to shape experiences and outcomes for a global workforce.

The role emphasizes scalable analytics, responsible AI, and collaboration with internal partners to drive evidence-based decisions in a complex enterprise setting.

Qualifications

• Bachelor’s degree in psychology, OB, HR, social sciences, data science, or related field.
• 5 years of employee listening, people analytics, or organizational research.
• Deep experience in survey methodology: item design, psychometrics, sampling.
• Strong statistics across quantitative and qualitative methods.
• Hands-on experience managing large, complex datasets.
• Advanced Excel; proficiency in R, Python; Tableau; Qualtrics.

Responsibilities

• Design and deliver continuous, always-on employee listening strategy.
• Develop valid, reliable survey measures aligned to priorities.
• Execute listening programs from design to reporting.
• Drive end-to-end program coordination and stakeholder comms.
• Build GenAI tools to scale insight delivery with responsible AI.
• Create high-impact visualizations and dashboards for leaders.
• Present insights to senior leaders and translate findings into actions.
• Partner with tech, HR data, and vendors to integrate data.

Skills

Qualtrics

R Analytics

R Programming

Survey Design

Tableau

BI

Advanced Analytics

Education

Bachelor’s degree in psychology/related field

Tools

Qualtrics

R

Python

Tableau

Visier

Glint

Perceptyx

Job description

Johnson & Johnson is seeking a Manager, Employee Listening to advance an always-on listening program and turn signals into strategic HR actions. You will work across data science, survey design, and leadership to shape experiences and outcomes for a global workforce.

The role emphasizes scalable analytics, responsible AI, and collaboration with internal partners to drive evidence-based decisions in a complex enterprise setting.