Business Insights Manager - Employee Experience

Responsibilities

• Serves as a strategic partner and insights advisor within the Employee Experience (EX) ecosystem, responsible for the Voice of Employee (VoE) listening and analysis infrastructure.
• Collaborates closely with HR and the business on insight-driven recommendations and priorities.
• Oversees the VoE program (engagement surveys, pulse surveys and other feedback mechanisms).
• Designs, operates and continuously evolves an always-on listening system that captures structured and unstructured signal across touchpoints, channels and lifecycle stages.
• Collects, analyzes employee feedback across channels and career-lifecycle stages to understand the end-to-end employee experience.
• Identifies and synthesizes patterns and themes in employee data; co-develops data-informed improvement recommendations with HR and EX leaders.
• Tracks key EX metrics and measures shifts in employee feedback signals, interpreting what those shifts reveal about the employee experience.
• Presents insights in a clear storytelling format to stakeholders at all organizational levels.
• Ensures employee insights are embedded into strategic decision-making.
• Designs and administers qualitative and quantitative primary research, including surveys, focus groups and in-depth interviews.
• Collects, synthesizes and analyzes data from multiple internal and external sources using statistical techniques and reporting and analytics tools.
• Develops and maintains a roadmap that prioritizes listening system enhancements, research initiatives and analytics investments based on business value and technical feasibility.
• Manages and leads research and insights projects end-to-end, including scoping, methodology selection, milestone tracking and rollout.
• Shares, organizes and archives research projects, data and documentation.
• Facilitates cross-functional meetings and workshops to ensure alignment and foster collaboration.
• Works with external partners and vendors to source research, data and capabilities as needed.
• Partners with technical teams (data engineering, analytics, IT, AI/ML) to translate business needs into operational solutions.
• Communicates AI-driven insights clearly and responsibly to peers and managers.

Qualifications

• Bachelor's degree in Business, Marketing, Data Analytics, Economics, Cognitive or Behavioral Science, or a related field is required; advanced degree (e.g., Masters) is preferred.
• 7+ years’ experience in insights, market research, business intelligence or related field is required.
• Experience in healthcare or medical device industry is preferred.
• Proficiency in Microsoft Office suite.
• Proficiency with modern analytics, visualization and AI-enabled insight tools (e.g., Power BI, text/NLP analytics); working knowledge of statistical methods.
• Strong analytical, problem-solving and judgment skills with success in making actionable recommendations based on research findings and data analysis.
• Excellent verbal and written communication skills with the ability to present complex data insights in a clear and effective manner to senior leaders and non-technical stakeholders.
• Fluency in Artificial Intelligence (AI) and data concepts, including the ability to critically evaluate AI outputs, improve workflows using approved tools, identify and mitigate bias or inaccuracies, and communicate AI-driven insights clearly and responsibly to peers and managers.
• Highly organized, detail oriented, flexible and manages time effectively.
• Experience managing multiple projects with competing deadlines and priorities.
• Maintains company quality standards; strictly adheres to safety requirements.
• Experience with advanced analytics including familiarity with machine learning models, predictive analytics, and programming languages (e.g., Python, R, Studio).
• Systems mindset — able to think about insight work as a connected, scalable capability rather than a series of standalone deliverables.
• Demonstrated ability to partner with technical teams (data engineering, analytics, IT, AI/ML) to translate business questions into operational solutions.