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Senior Manager, End User Services – GenAI, Data & Analytics

Johnson & Johnson
Full-time
On-site
Raritan, NJ
$122,000 - $212,750 USD yearly
IT

Role Summary

Senior Manager, End User Services (GenAI, Data & Analytics, Virtual Agent) based in Raritan, NJ. Lead the strategic and operational delivery of next-generation digital workplace capabilities, including enterprise Generative AI initiatives, data-driven insights, the Virtual Agent platform, and Nexthink digital experience analytics. Advance user experience through intelligent automation, proactive insights, and automation-driven optimization. Combine deep technical depth in data and AI platforms with leadership experience in modern workplace transformation.

Responsibilities

  • Develop and implement a roadmap for GenAI, Nexthink, data analytics, and Virtual Agent capabilities within End User Services.
  • Partner with enterprise architecture, data governance, ServiceNow platforms and AI leadership teams to align EUS technology strategy with organizational objectives.
  • Champion employee experience as a measurable business outcome using data-driven insights.
  • Drive deployment and adoption of GenAI tools such as Microsoft Copilot, ChatGPT Enterprise, and ServiceNow GenAI across End User Services.
  • Identify, design, and deliver high-value AI use cases that reduce manual effort, improve knowledge accessibility, and enhance productivity.
  • Collaborate with cybersecurity and compliance teams to ensure secure and responsible AI operations.
  • Leverage Nexthink to ensure continuous improvement of digital experience monitoring capabilities.
  • Proactively identify end-user difficulties, optimize endpoint performance, and reduce incident volume.
  • Develop actionable dashboards and executive reporting using Power BI and Nexthink Analytics to track digital experience score, device health, and user sentiment.
  • Lead integration of Nexthink insights into automation and self-healing workflows.
  • Partner with Managed Service Providers (MSPs) and internal teams to ensure Nexthink data quality, governance, and adoption across the enterprise.
  • Lead strategy and continuous improvement for the Virtual Agent platform, driving increased self-service adoption and AI-assisted resolution.
  • Oversee conversational design, intent accuracy, and knowledge management to improve user engagement and satisfaction.
  • Collaborate with ServiceNow, Microsoft, and automation engineering teams to deliver seamless experiences.
  • Lead and mentor a multidisciplinary team of engineers, data analysts, and automation specialists.
  • Foster a culture of innovation, experimentation, and data-driven improvement.
  • Manage vendor partnerships, budgets, and project delivery aligned to service experience goals.

Qualifications

  • Required: Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field.
  • Required: 8+ years of progressive IT experience, including 3+ years in a management role leading end-user or digital workplace teams.
  • Required: Hands-on experience with Nexthink administration, analytics, and dashboard creation.
  • Required: Experience with ServiceNow platform.
  • Required: Proven success using Nexthink insights to drive measurable improvements in device performance and employee satisfaction.
  • Required: Expertise in ITSM, data visualization (Power BI, Nexthink Analytics), and automation tools (ServiceNow, Power Platform).
  • Required: Solid understanding of GenAI technologies and their application within enterprise IT.
  • Required: Exceptional communication and customer engagement skills.
  • Preferred: Master’s degree in Data Analytics, Business Administration, or related field.
  • Preferred: Certifications such as ITIL, Nexthink Experience, Power BI Data Analyst, or AI Fundamentals.
  • Preferred: Experience in managing outsourced or global end-user support operations.

Skills

  • Data Visualization
  • Generative AI
  • NEXThink (Software)
  • ServiceNow Platform

Education

  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field
  • Master’s degree (preferred)
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