Voice of the Customer Intelligence (VOC) Manager, Customer Experience and Engagement
Jones Lang LaSalle
- Location
- Arlington, VA
- Work model
- On-Site
- Level
- Mid
- Posted
- Sep 8, 2026
Skills
About this role
JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. What this job involves: We are seeking a customer-obsessed Manager, Customer Experience and Engagement to lead voice of customer (VOC) research and analytics that drive program and product decisions. This individual contributor designs and executes research programs, builds scalable reporting frameworks, and partners with internal stakeholders to translate ambiguous business questions into structured, actionable insights. The role blends traditional survey expertise with an evolving focus on micro-sentiment capture, behavioral analytics, and first-party data integration — helping the team shift from periodic measurement to continuous customer intelligence across the employee travel and events journey. What your day-to-day will look like: Design, program, and deploy research using enterprise survey platforms such as Qualtrics, Medallia, Amazon Pulse, or similar, leveraging AI-assisted survey design and natural language analysis to accelerate time-to-insight. Integrate and analyze engagement data across tools, campaigns, and customer touchpoints — connecting survey feedback with behavioral signals including product adoption, feature usage, campaign interactions, and content engagement to build a holistic view of the customer experience. Conduct stakeholder intake sessions to clarify research needs, guiding partners who struggle to articulate business questions into structured research frameworks. Analyze and present qualitative and quantitative findings — including outputs from generative AI, text analytics, and behavioral/engagement data — to the insights team and business partners with clear, decisive recommendations. Build and maintain scorecards, dashboards, and automated reporting pipelines that go beyond survey metrics — incorporating engagement KPIs, campaign performance, and product interaction data to continuously simplify how stakeholders access and act on intelligence. Manage multiple concurrent research projects independently from study design through reporting. Monitor key metrics to identify trends impacting business performance and proactively surface emerging signals across surveys, tools, and campaigns — defining data-driven approaches to uncover new insights before they're requested. Synthesize findings across multiple data streams including survey responses, behavioral analytics, campaign engagement, and customer support signals into thematic insights, exploring AI tools to scale analysis and reduce cycle time. Create flexible models including predictive and prescriptive analytics to identify opportunities and inform decisions with speed and conviction.
Required Qualifications
7+ years in market research or data analytics, including survey design, data modeling, and reporting. Bachelor's degree in a quantitative field such as market research, math, economics, finance, statistics, engineering, or equivalent work experience. Proficient in enterprise survey platforms including Qualtrics, Medallia, or similar — including programming, logic design, and reporting dashboards; adaptable to new and emerging survey technologies. Experience synthesizing insights across multiple data sets including surveys, product analytics, campaign metrics, and customer support data, translating findings into clear visualizations using BI tools such as Amazon QuickSight, Tableau, or similar. Track record of going beyond reporting to proactively