Associate Director, AI & Advanced Analytics for Patient Engagements

Johnson & Johnson · Pharma · Titusville, NJ +1

Associate Director, AI & Advanced Analytics for Patient Engagements at Johnson & Johnson. This role leads the AI transformation for patient support services, focusing on improving patient solutions and experience through AI and advanced analytics. The individual will be an end-to-end product owner for AI/ML solutions, collaborate with various teams, ensure compliance, identify key problems in the patient journey, evaluate data sets and methodologies, determine solution impact through measurement frameworks and A/B testing, and advocate for AI adoption. Requires 8+ years of experience in healthcare/analytics/data science, a bachelor's degree (master's preferred), experience with healthcare data (claims, EHR, etc.), and a track record of implementing AI initiatives in the pharmaceutical industry.

What you'd actually do

  1. Lead day-to-day relationships and projects with leadership across PECS (Patient experience & customer solutions), brand sales and marketing, Media, Advanced Analytics, Data Science & Engineering, and IT, among others, to shape and evolve the patient solution roadmap.
  2. Be the end to end product owner and single point-of-contact for advanced analytics and AI/ML solutions supporting patient support services
  3. Lead the partnership with HCC, privacy, and legal to ensure that compliance and appropriate patient confidentiality is at the core of all solutions.
  4. Lead 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.
  5. Lead the ongoing 'use case centric' evaluation of data sets and methodologies to improve predictive capabilities.

Skills

Required

  • 8 years of relevant business experience in healthcare, analytics, data science, marketing, management consulting or related field
  • Bachelor's degree
  • Experience with handling budget responsibility of over $2M annually
  • Outstanding interpersonal relationship building and employee coaching skills
  • Demonstrated ability to lead and develop a team
  • Ability to influence all levels of the global organization and engage across a broad range of business partners and functions
  • Prior experience integrating and analyzing healthcare claims, electronic health records, lab results, specialty pharmacy, SDOH/consumer, and patient hub data for advanced analytics solutions- including for adherence & fulfillment effectiveness, patient journey mappings, and treatment pathways.
  • Track record of hands-on implementation of AI initiatives within pharmaceutical industry, preferably in the patient support area.
  • Expertise in predictive analytics and machine learning techniques (e.g. supervised, unsupervised, deep learning) and their real-world applications

Nice to have

  • Master's degree highly preferred
  • Intellectual curiosity and passion to learn new things and adaptability to shifting timelines and priorities

What the JD emphasized

  • handling budget responsibility of over $2M annually
  • Prior experience integrating and analyzing healthcare claims, electronic health records, lab results, specialty pharmacy, SDOH/consumer, and patient hub data for advanced analytics solutions- including for adherence & fulfillment effectiveness, patient journey mappings, and treatment pathways.
  • Track record of hands-on implementation of AI initiatives within pharmaceutical industry, preferably in the patient support area.
  • Expertise in predictive analytics and machine learning techniques (e.g. supervised, unsupervised, deep learning) and their real-world applications

Other signals

  • AI transformation journey and execution roadmap
  • elevating the patient solutions and experience through the strategic application of AI
  • end to end product owner and single point-of-contact for advanced analytics and AI/ML solutions
  • Track record of hands-on implementation of AI initiatives within pharmaceutical industry
  • Expertise in predictive analytics and machine learning techniques