Manager, Employee Listening

About the role

HR Data & Intelligence, within Johnson & Johnson's HR Digital ecosystem, builds enterprise-scale data, analytics and AI capabilities that turn workforce signals into strategic advantage. The Employee Listening function captures, analyzes and translates employee signals into insights that inform HR strategy, product design and leadership decisions. The Manager, Employee Listening leads the execution of annual employee surveys and moves listening toward a product-oriented, always-on capability, integrating active feedback, passive signals and contextual insights. The role is open to candidates in Sao Paulo, Brazil or Bogota, Colombia.

Key responsibilities

• Design and execute a continuous, experience-based, always-on listening strategy beyond traditional surveys (pulse, lifecycle, crowdsourcing, passive signals, external listening)
• Develop valid, reliable and actionable survey measures aligned to organizational priorities
• Run listening programs from design through reporting, including methodology, content, sampling, administration, analysis and reporting
• Build, test and refine GenAI tools such as Copilot agents and reusable prompts, validated against source data and following responsible AI practices
• Prepare, validate and maintain listening datasets, and analyze feedback quantitatively and qualitatively to identify trends, drivers and root causes
• Ensure reporting accuracy and compliance with enterprise, privacy and legal requirements, and build dashboards and visualizations for leaders
• Act as a subject matter expert advising HR and business leaders, presenting insights and recommending approaches
• Develop toolkits and leader-facing materials, and partner with technology, HR Data & Intelligence and external vendors

Required profile

• Bachelor's degree in Psychology, Organizational Behavior, Human Resources, Social Sciences, Data Science or a related field
• 5 years of experience in employee listening, people analytics or organizational research
• Deep technical experience in survey methodology, including item design, psychometrics, construct validation and sampling
• Strong quantitative and qualitative analytical skills, hands-on experience with large datasets, and advanced Excel skills
• Excellent communication skills, proven project management experience, attention to detail and strong collaboration skills
• Fluency in reading and writing English; preferred: advanced degree, familiarity with data privacy and ethical use of employee data, and experience with global or matrixed organizations

Required skills

• Statistical software such as R, Python or SPSS
• Data visualization tools such as Tableau or Visier
• Survey platforms such as Qualtrics, Glint or Perceptyx
• Workday and other HR systems data