Lead, Technology Product Management – AI, Data & Insights

Johnson & Johnson•Titusville, NJ

15h•Hybrid

About The Position

Johnson & Johnson is seeking a Lead, Technology Product Management – AI, Data & Insights to join their Data & Insights Product Group in Titusville, NJ. This role is within the Innovative Medicine sector, specifically supporting the JJIM Technology (JJIMT) group. The Data & Insights Product Group focuses on delivering advanced data and analytics technologies for end-to-end data management, operational/advanced analytics, and data science. The goal is to transform JJIM commercial functions into insight-driven organizations that are analytics competitors, thereby redefining how they serve consumers, patients, healthcare professionals, customers, and employees. This involves developing and scaling enterprise platforms and capabilities to unlock new insights for innovation, commercial growth, operational efficiencies, and improved health outcomes. The Lead, Technology Product Management – AI, Data & Insights role combines technical product ownership with hands-on engineering to deliver scalable commercial solutions, including AI, that transform pharma operations. This IT Product Line lead position requires strong technical skills to deliver high-impact analytics products and solutions that meet evolving business needs. Collaboration will be key, involving IT peers, external vendors, data aggregator partners, business product owners, technology services, and finance teams. The role will leverage enterprise technology and development capabilities to deliver solutions with speed, agility, and measurable business impact.

Requirements

A bachelor’s degree in computer science, Information Technology, Information Systems, Statistics, Data Science, or equivalent field of study.
A minimum of 3 years of diverse experience in data and insights technology product development.
Proven track record of deploying LLMs, AI agents, and GenAI-powered applications in production.
Deep expertise in Python, ML frameworks (e.g., LangChain), and cloud-native AI services.
Strong understanding of prompt engineering, model fine-tuning, and evaluation metrics.
Experience integrating GenAI into business workflows for measurable impact.
A minimum of 2 years proven experience leading mid-large data & insights product teams, delivering results, demonstrating leadership, influencing skills, and interdependent partnering skills.
A minimum of 2+ years of diverse experience in designing and implementing data engineering and data science solutions in a fast-paced environment.
Effective communication and critical thinking skills, creative and flexible problem solving, and process focus.
Demonstrated ability to exercise good judgment in high pressure, critical situations with attention to detail.
Strong interpersonal skills and the ability to communicate effectively, strategically, and authoritatively with internal partners to develop ideas, find opportunities, and influence outcomes.
Consistent record of delivering projects efficiently with ambitious timelines.
Demonstrable experience crafting technical solutions for business problems; understands both business processes and technical solutions.
Expertise in data management, data modeling, large data lake platforms, and BI visualization technologies such as Tableau and Power BI.
Hands-on experience in cloud technologies and expertise in AWS or Azure Tech stack is required.

Nice To Haves

Master degree preferred.
Pharmaceutical or Life sciences/health care industry experience.
Extensive knowledge of commercial pharma business processes like field alignment, call planning, sales reporting, Medical Affairs and patient data.
Experience with wide array of pharmaceutical data including but not limited to Patient Access Services, sales and marketing syndicated data, CRM, digital, lab, hub, claims, specialty pharmacy, etc.
Agile development experience, SDLC methodology, risk management including information security and solid understanding of JIRA.
Experience in working in CI/CD framework and DevOps mode for data science and data engineering solutions.

Responsibilities

Define and communicate product vision for AI/GenAI-enabled analytics platforms.
Prioritize features that leverage GenAI to enhance commercial decision-making.
Define and communicate product vision and strategy, including new features and improvements for products in the Data & Insights portfolio.
Identify and prioritize product features backlog in alignment with business strategy.
Define business value, measurement of return on investment, and realization of business outcomes.
Own and manage total cost of ownership, including spend on vendors and services throughout product life cycle.
Drive and measure adoption, retention, and customer satisfaction of Data Analytics products.
Coach business and technical product owners on product management standard methodologies.
Serve as Technical Product Owner with hands-on involvement in building AI/GenAI solutions.
Architect and implement GenAI capabilities using AWS/Azure stack (e.g., Bedrock, SageMaker, OpenAI, Azure ML).
Collaborate with data scientists and engineers to build and deploy LLMs, retrieval-augmented generation (RAG), and agentic workflows.
Lead development of reusable AI components and pipelines for commercial analytics use cases.
Define the standards for the product, including overall design and features, development standards, release management processes and schedules, testing / validation, and compliance.
Lead analytics capabilities roadmap in line with business & BTL prioritization, enabling capabilities & new services.
Develop and lead project plans and all areas related to project management.
Accountable for application support of analytics platforms via Service Level Management with Application Service teams.
Utilize Agile methodology to work with business partners to define and translate business needs into user stories, prioritize product backlog, and define sprint plans.
Partner with Technology Services (TS) teams on demand planning, effort, timing, delivery, and support of new demand.
Perform source data analysis, data discovery, collaborate with business and peer teams to synthesize the business rules required for data acquisition and creation of information with context association.
Ensure successful business product owner engagement and completion of user acceptance testing.
Provide technology leadership and deliver Commercial Data & Insights solutions for Sales and Marketing, Market Access and Medical functions and drive business adoption.
Drive continual measurement of capabilities against demand volume, complexity, business challenges and improvement within value stream(s).
Focus on Business agility, agile product delivery with a fail-fast approach and measurable outcomes.
Drive product health, technical quality, development and support services through consistent metrics reporting.
Manage lifecycle of products and complete upgrade/decommission strategy as appropriate.
Cultivate collaborative, healthy, inclusive, and credo-based culture of highly engaged, robust teams by modeling credo values, valuing diverse perspectives, with high touch approach to employee talent and development.
Maintain a consistent track record to network and orchestrate across technology organization and business customers, with a demonstrated history of building relationships and leading people.
Demonstrate success in leading multiple cross-function self-organized teams.
Introduce bold ideas that challenge thinking and ways of working.
Apply strong problem-solving skills with ability to accurately analyze situations and reach productive decisions based on informed judgment.

Benefits

medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
long-term incentive program
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year (or 56 hours for Washington State employees)
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours