Manager, Employee Listening

 We recruiting for a Manager, Employee Listening, located in Sao Paulo, Brazil or Bogota, Colombia. 

HR Data & Intelligence sits at the heart of Johnson & Johnson’s HR Digital ecosystem, architecting the intelligence layer that shapes how the company understands, engages, and mobilizes its global workforce. This organization builds and operationalizes enterprise-scale data, analytics, and AI capabilities that do more than inform decisions—they reshape how HR plans, predicts, personalizes, and performs. By unifying data science, employee listening, knowledge management, and responsible AI, HR Data & Intelligence is transforming workforce signals into strategic advantage, ensuring HR is not only insight-led and future-ready, but a trusted steward of ethical, human-centered intelligence at scale.  Within this organization, the Employee Listening function is responsible for capturing, analyzing, and translating employee signals into actional insights that inform HR strategy, product design, and leadership decision-making. 

The Manager, Employee Listening is an individual contributor within the Data Science Services organization.  This role plays a part in the design, execution, and evolution of employee listening approaches across assigned domains, blending traditional survey-based listening with more modern, continuous, and experience-led methods. 

This Manager, Employee Listening plays a critical part in both the execution of core annual employee surveys and the evolution of employee listening beyond periodic programs, helping shift listening toward a product‑oriented, always‑on capability. In doing so, the role integrates active feedback, passive signals, and contextual insights to better understand employee experience at scale. 

Key Responsibilities: 

• Contribute towards the design and delivery of core employee listening programs, including annual engagement surveys, lifecycle surveys, and targeted pulse efforts, ensuring high data quality, relevance, and stakeholder confidence 

• Contribute to the evolution of employee listening toward a product‑oriented, always‑on capability, incorporating pulse, event‑based, and passive listening approaches where appropriate 

• Partner with HR product teams, COEs, and leaders to frame business and experience questions and translate them into effective listening strategies and instruments 

• Analyze qualitative and quantitative employee feedback to generate clear, actionable insights that inform HR strategy, product design, and experience improvements 

• Collaborate with broader HR Data & Intelligence organization to integrate listening data with broader workforce data and enable deeper, more contextual insights 

• Communicate insights through compelling storytelling, visualizations, and executive‑ready narratives, ensuring findings lead to meaningful action and impact 

Qualifications 

Required: 

• 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 roles 

• Demonstrated experience designing, executing, and analyzing employee surveys, including annual engagement surveys and pulse or lifecycle listening 

• Strong ability to translate employee feedback into clear, actionable insights that inform HR decisions, programs, and experiences 

• Experience working with both quantitative and qualitative data, including survey results, open‑text feedback, and experience signals 

• Strong analytical thinking and problem‑solving skills, with the ability to connect listening insights to business and experience outcomes 

• Excellent communication skills, including the ability to synthesize insights and present them clearly to HR and business stakeholders 

Preferred: 

• Experience evolving employee listening toward continuous, always‑on, or experience‑based models, beyond periodic surveys 

• Familiarity with passive listening signals (e.g., text feedback, behavioral indicators, operational signals), with appropriate ethical and privacy considerations 

• Experience working in product‑based, agile, or cross‑functional delivery environments 

• Exposure to advanced analytics, text analytics, or data science techniques applied to employee feedback 

• Experience operating in large, global, or matrixed organizations 

• Comfort partnering with data teams to integrate listening insights with broader workforce intelligence