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Manager, AI Advanced Analytics

Johnson & Johnson
Titusville, United Statesfull_timeVerifiedPosted 16 Jun 2026
💰 $201,250/yr($117,000/yr$201,250/yr)

About the role

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 jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Titusville, New Jersey, United States of America

Job Description:

We are searching for the best talent for Manager, AI Advanced Analytics to be located in Titusville, NJ

About Innovative Medicine

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 https://www.jnj.com/innovative-medicine 

Johnson & Johnson Innovative Medicine is recruiting for a Manager, AI Advanced Analytics to support the commercial organization's Customer AI Product Strategy (CAPS) group. This position is based in Titusville, NJ.

Purpose:

The Manager, AI Advanced Analytics is responsible for driving advanced analytics for our Neuroscience commercial franchise.  This leader will be responsible for creating sustainable advanced analytics solutions (including AI/ML) to solve complex unmet needs for our customers, influence decision-making at senior levels, uncover and drive revenue and share growth, and advance our commercial model.  The ideal candidate is proficient in understanding real-world application of data sciences with experience working across diverse teams to help bridge technology, commercial and data teams.

You will be responsible for:

  • Develop, influence and shape sustainable advanced analytical solutions that align with business insight needs, are forward looking, and use tools and methods to track, report and analyze results

  • Manage day-to-day relationships and projects with sales leadership, brand teams and other commercial stakeholders across commercial excellence

  • Act as an internal consultant, proactively developing solutions to uncover business opportunities and actionable insights

  • Collaborate and influence both internally and externally with vendors to coordinate cross-functional analytics projects and ensure advanced analytics is part of front-line thinking

  • Assist in budget management, project prioritization and project management

  • Manage story development and presentation of analytical solutions to ensure stakeholder buy-in

  • Build, evolve and manage promotion response models to provide insights and recommendations to optimize promotional efforts

Qualifications / Requirements:

Education:

  • A minimum of a Bachelor Degree is required; an advanced degree in a field such as Data Science, Statistics, Computer Science, Operations Research, Econometrics is preferred.

Experience and Skills:

  • A minimum of 5 years of relevant business experience in marketing, finance, analytics, management consulting or related field is required.

  • Ability to translate business questions into analytics techniques (regression classification, NLP, etc) and interpret outcomes of analytical models into meaningful business insights and actionable recommendations is required.

  • Knowledge of advanced statistical techniques and concepts (model selection and hypothesi

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Company

Johnson & Johnson

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