Senior Manager, Global Commercial Data & AI Enablement

Johnson & Johnson Innovative Medicine•Raritan, NJ
•$137,000 - $236,325

About The Position

Johnson & Johnson is seeking a Senior Manager, Global Commercial Data & AI Enablement, located in Raritan, New Jersey. The role supports J&J MedTech commercial users by delivering a high-quality analytics and AI experience within Project Butterfly’s Microsoft Dynamics 365 platform. It bridges business needs and technical capabilities by defining analytics requirements, designing data foundations for AI agents and dashboards, and partnering with regional and business unit teams to deliver consistent, valuable analytics solutions. The successful candidate will shape analytics strategy and requirements, establish data and KPI standards, enable regional and business unit analytics teams, and improve the analytics and AI agent experience in Dynamics 365. The role works closely with Data Product Managers, Data Engineers, regional and business unit analytics leads, and other stakeholders to make sure solutions meet commercial users’ needs and align with global standards. A minimum bachelor’s degree or equivalent university degree in a technical or business field is required; an advanced degree or MBA is preferred. The position requires at least seven years of experience in analytics, business intelligence, or commercial operations.

Requirements

  • Bachelor’s degree or equivalent university degree in a technical or business field.
  • Seven or more years of experience in analytics, business intelligence, or commercial operations, including experience defining analytics strategies and requirements.
  • Experience designing data models or analytical frameworks that enable self-service analytics and AI use cases.
  • Strong understanding of analytics platforms such as Power BI, Tableau, or similar, and modern data architectures, with the ability to engage credibly with technical teams.
  • Deep knowledge of commercial processes and decision-making in sales, marketing, or customer service contexts.
  • Proven ability to work with diverse stakeholders, including regional teams, business unit leads, and IT, to align on standards and drive adoption.

Nice To Haves

  • Advanced degree and/or MBA.
  • Hands-on experience with Microsoft Dynamics 365, CRM or CXM platforms, and embedded analytics capabilities.
  • Familiarity with AI agents, Copilot, or conversational analytics tools and their data requirements.
  • Technical proficiency with SQL, data platforms such as Databricks, Dataiku, or Snowflake, or analytics engineering concepts.
  • Background in life sciences, MedTech, or B2B commercial analytics.
  • Experience working in global organizations and managing analytics standardization across regions.
  • Understanding of data governance, data quality, and their impact on analytics outcomes.

Responsibilities

  • Assess commercial decision processes across sales, marketing, customer service, service and repair, and professional relations and operations, and define analytics capabilities to improve decision-making.
  • Translate business needs into technical requirements for analytics products, including out-of-the-box Dynamics dashboards and custom regional solutions.
  • Design the data foundation across L2 and L3 analytical layers for dashboards, reports, and AI agents in Butterfly.
  • Define standards for metrics, KPIs, and analytical frameworks across regions and business units.
  • Collaborate with regional and business unit analytics leads to understand reporting inventories and standardize them where possible.
  • Provide guidance, templates, and best practices so regionally authored analytics meet global standards and quality expectations, including user experience.
  • Facilitate knowledge sharing and community building across the analytics ecosystem.
  • Bridge global data products with regional and business unit analytics consumption needs.
  • Ensure the AI agent experience in Dynamics 365 delivers meaningful and accurate insights to commercial users.
  • Define feature sets, context, and data structures that enable intelligent, conversational analytics.
  • Test and refine analytics user experiences by identifying gaps, usability issues, and opportunities for improvement.
  • Partner with Data Product Managers and Data Engineers to ensure analytics requirements are reflected in data product roadmaps.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Short- and long-term disability insurance
  • Business accident insurance
  • Group legal insurance
  • Pension plan
  • 401(k) savings plan
  • Vacation: 120 hours per calendar year
  • Sick time: 40 hours per calendar year; 56 hours per calendar year for Washington State residents
  • Holiday pay, including floating holidays: 13 days per calendar year
  • Work, Personal and Family Time: up to 40 hours per calendar year
  • Parental leave: 480 hours within one year of the birth, adoption, or foster care of a child
  • Condolence leave: 30 days for an immediate family member and 5 days for an extended family member
  • Caregiver leave: 10 days
  • Volunteer leave: 4 days
  • Military spouse time-off: 80 hours
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