Manager Commercial AI & Advanced Analytics

Johnson & Johnson Johnson & Johnson · Pharma · Horsham, PA +1

Manager role focused on driving commercial AI capabilities for the Immunology franchise, modernizing customer engagement through AI-powered analytics, generative AI, intelligent agents, and omnichannel execution. The role involves creating scalable, governed AI solutions to solve business needs, improve effectiveness, uncover growth opportunities, and advance the commercial model. Requires translating business needs into AI capabilities and collaborating across commercial, technology, data science, digital, and compliance teams.

What you'd actually do

  1. Develop, influence, and scale commercial AI capabilities that improve customer engagement, field effectiveness, and omnichannel execution across the franchise
  2. Lead day-to-day partnerships with sales leadership, brand teams, digital, customer engagement, technology, data science, and other commercial stakeholders to identify high-value AI use cases and drive adoption
  3. Act as an internal commercial AI consultant, proactively translating business priorities into practical AI, machine learning, generative AI, and agentic solutions
  4. Drive the evolution of customer engagement capabilities, including next best actions, trigger-based engagement, field-facing AI assistants, generative AI workflows, and agent-enabled orchestration across channels
  5. Partner with internal and external teams to ensure AI solutions are grounded in trusted data, approved content, appropriate governance, privacy, compliance, and measurable business outcomes

Skills

Required

  • Ability to translate business questions into AI-enabled solutions, including analytics, machine learning, generative AI, and agentic workflows, and interpret outcomes into meaningful business insights and actionable recommendations
  • Knowledge of applied AI and analytics concepts, including model evaluation, measurement design, experimentation, optimization, and responsible use of AI in real-world business settings
  • Working knowledge of machine learning, generative AI, large language models, agents, and their real-world advantages, limitations, and governance considerations
  • Working knowledge of pharma and specialty pharmacy data sources (to include IQVIA, Symphony Health, Truven/Optum)

Nice to have

  • An advanced degree in a field such as Data Science, Statistics, Computer Science, Operations Research, Econometrics is preferred.
  • Experience building or enabling customer engagement capabilities such as next best action, AI-assisted field planning, trigger-based recommendations, omnichannel orchestration, or digital engagement optimization is preferred
  • A minimum of 2 years of Pharmaceutical experience is preferred

What the JD emphasized

  • customer AI product strategy
  • AI-powered analytics & insights
  • generative AI
  • intelligent agents
  • connected omnichannel execution
  • scalable, governed AI solutions
  • translate business needs into practical AI-enabled capabilities
  • AI-enabled solutions
  • machine learning, generative AI, and agentic workflows
  • applied AI and analytics concepts
  • responsible use of AI
  • machine learning, generative AI, large language models, agents
  • governance considerations

Other signals

  • customer engagement
  • field effectiveness
  • omnichannel execution
  • generative AI
  • intelligent agents