Associate Director, Commercial AI & Advanced Analytics

Associate Director, Commercial AI & Advanced Analytics

Location:

Titusville, New Jersey, United States

Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Data Science
Job Category:
People Leader

The Associate Director, Commercial AI & Advanced Analytics will lead AI‑driven, transformational initiatives supporting Cardiovascular and Metabolics business development. The role focuses on the strategic application of AI and advanced analytics across commercial, medical, and patient domains, including but not limited to sales, marketing, medical engagement, and patient activation and support. It will influence decision‑making at senior levels, identify new opportunities, and collaborate across the organization and with external partners.

• Serve as product owner and single point of contact for advanced analytics and AI/ML solutions supporting Cardiovascular and Metabolics business development.
• Lead day‑to‑day partnerships with stakeholders across alliance partners, commercial, medical, patient support, data strategy, media, and IT teams to shape and evolve the customer and patient engagement roadmap.
• Manage alliance relationships with an external partner pharmaceutical company, ensuring strong coordination, clear accountability, and value realization across joint initiatives.
• Identify and quantify the most critical areas of opportunity across the HCP, medical, and patient journeys, determining where, when, and how AI‑driven interventions can add value.
• Drive a use‑case‑centric evaluation of data sources and methodologies to continuously improve predictive and prescriptive capabilities.
• Establish measurement frameworks and assess impact using leading and lagging indicators, including experimentation and A/B testing.
• Act as a change leader and advocate, fostering new ways of thinking about the role of AI and advanced analytics across commercial, medical, and patient engagement.
• Partner closely with HCC, privacy, and legal teams to ensure compliance and patient confidentiality are embedded in all solutions.

• Minimum 8 years of relevant experience in healthcare, analytics, data science, marketing, medical strategy, management consulting, or a related field.
• Bachelor’s degree required;
  Master’s or PhD preferred.
• Experience managing budgets exceeding $2M annually.
• Hands‑on experience integrating and analyzing healthcare data sources such as claims, electronic health records, lab results, specialty pharmacy, SDOH/consumer, and patient hub data.
• Demonstrated experience delivering AI‑driven initiatives within the pharmaceutical or life sciences industry.
• Strong expertise in predictive analytics and machine learning techniques and their real‑world application.
• Proven ability to influence across functions and levels, including internal teams and external alliance partners.
• Intellectual curiosity, adaptability, and comfort operating in a fast‑changing, ambiguous environment.

Up to 10% domestic travel required.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via , internal employees contact AskGS to be directed to your accommodation resource.

• Advanced Analytics
• Artificial Intelligence (AI)
• Budget Management

• Compliance Management
• Critical Thinking
• Cross‑Functional Collaboration
• Data Analysis
• Data Privacy Standards
• Data Quality
• Data Reporting
• Data Savvy
• Data Science
• Data Visualization
• Developing Others
• Digital Fluency
• Inclusive Leadership
• Leadership
• Strategic…