Advanced Analytics - Engagement Manager, Oncology (Solid Tumor)

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

US010 PA Horsham - 800/850 Ridgeview Dr

Job Description:

We are searching for the best talent for Advanced Analytics - Engagement Manager, Oncology (Solid Tumor) to be in Horsham, PA.

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at

Purpose:

As an Engagement Manager within the Customer AI Products and Strategy (CAPS) team, you will play a crucial role in driving the evolution of our business to meet the ever-evolving needs of our customers and enhance their experience. You will collaborate closely with other commercial teams to translate business needs into innovative advanced analytics solutions. This role will have a significant impact on decision-making at senior levels, identifying opportunities to drive revenue growth, share growth, and improve our commercial model.

You will be responsible for:

• Driving clear and effective business translation of AI/ML products between business and technical stakeholders.
• Leading collaboration with partners across Marketing, Sales, StAT and Data Science teams to incorporate market research, strategic imperatives, and competitive intelligence into AI products to influence key decisions and brand strategy.
• Collaborating with business partners to craft and influence investment strategy across promotional channels based on output from predictive models, providing recommendations to leadership and brand teams.
• Overseeing the critical processes and resources that drive AI/ML products in Oncology, including leading contracted resources, prioritizing product enhancements, continuous process improvement/automation, and conducting quality checks on outputs.
• Proactively leveraging AI/ML knowledge and business strategy to evolve the commercial model using diverse data sources (e.g., commercial pharma, consumer, census data).
• Fostering a culture based on core values across diverse teams and business partners.

Qualifications / Requirements:

• A minimum of 5 years of relevant experience in predictive modeling, analytics, management consulting, or related fields.
• Bachelor's degree required; Master's preferred.
• Intellectual curiosity and passion for learning.
• Experience in applying predictive modeling and translating technical findings for non-technical audiences.
• Excellent communication, project management, and executive presence.
• Proficiency in data extraction from large datasets using SQL and basic statistical analysis with languages like Python, SQL, R.
• Experience with large pharmaceutical datasets (e.g., IQVIA, SHS, MMIT) is preferred.
• Understanding of omnichannel marketing in the pharmaceutical industry highly preferred.
• Experience in marketing mix/optimization or promotional measurement solutions is a plus.

Other:

• Up to 10% domestic travel required.
• Base salary range: $115,000 - $197,800 USD.
• Performance-based bonuses are available, awarded at the company's discretion based on individual and company performance.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or other characteristics protected by law. We are committed to inclusive hiring and provide accommodations for applicants with disabilities upon request.