Manager - AI & Advanced Analytics for Patient Engagement

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 https://www.jnj.com

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:

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

We are searching for a strong talent for Manager, AI & Advanced Analytics for Patient Engagement to be in Titusville, NJ.

Our AI Products & Strategy team harnesses powerful machine learning insights to drive meaningful change for customers, putting patients at the heart of everything we do. Join a culture that thrives on innovation, curiosity, teamwork, and bold thinking.

Purpose:

The Manager, AI & Advanced Analytics for Patient Engagements will lead our AI driven transformation journey for a key therapeutic area with a primary focus on elevating the patient solutions and experience through the strategic application of AI and advanced analytics for an outstanding, patient-focused fulfillment and adherence experience.

To accomplish this, they will demonstrate their ability to influence decision making at the highest levels and proactively identify and shape opportunities to improve patient care, while working collaboratively with teams across the JNJ IM organization.

You will be responsible for:

• Being the product owner and single point-of-contact for advanced analytics and AI/ML solutions supporting patient support services for one key therapeutic area

• Leading day-to-day relationships and projects with leadership across PECS (Patient experience & customer solutions), brand sales and marketing, Data Strategy, Advanced Analytics, Data Science & Engineering, and IT, among others, to shape and evolve the patient solution roadmap.

• Leading the partnership with HCC, privacy, and legal to ensure that compliance and appropriate patient confidentiality is at the core of all solutions.

• Leading identification and quantification of the most significant problems across the entire patient journey to support where/when/how to best intervene in helping patients start and stay on therapy.

• Leading the ongoing 'use case centric' evaluation of data sets and methodologies to improve predictive capabilities.

• Quantifying the impact of solutions & programs through leading and lagging indicators including establishing a measurement framework, and conducting A/B testing.

• Advocating for change and fostering progress in new ways of thinking regarding the role of advanced analytics and AI within patient support services.

Qualifications / Requirements:

• At least 5 years of relevant business experience in healthcare, analytics, data science, marketing, management consulting or related field is required.

• A minimum of a Bachelor Degree is required, Master degree preferred.

• Hands - on experience integrating and analyzing healthcare claims, electronic health records, lab results, specialty pharmacy, SDOH/consumer, and patient hub data for AI and advanced analytics solutions required. Experience working on adherence & fulfillment effectiveness, patient journey mappings, and treatment pathways modeling highly preferred.

• Outstanding interpersonal relationship building and employee coaching skills, and demonstrated ability to lead and develop a team.

• Track record of hands-on implementation of AI-driven initiatives within pharmaceutical industry, preferably in the patient support area.

• Expertise in predictive analytics a