Lead, Technology Product Management – AI, Data & Insights

Johnson & Johnson Innovative Medicine•Hopewell Township, NJ

1d•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 focuses on delivering scalable commercial solutions, including AI, that transform pharma operations. The position blends technical product ownership with hands-on engineering, acting as an IT Product Line lead with strong technical skills to deliver high-impact analytics products. The IT lead will collaborate with IT peers, external vendors, data aggregator partners, business product owners, technology services, and finance teams. The ideal candidate will be a technically proficient product leader with direct experience architecting and building AI/GenAI capabilities, including LLMs, AI agents, and cloud-native data platforms. Fluency in data science, data engineering, and cloud technologies is required, along with the ability to translate business needs into impactful, production-grade solutions. The role is accountable for technical delivery and value realization in partnership with the Business Product Manager.

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.
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 to ensure consistency across the product.
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, and group legal insurance.
consolidated retirement plan (pension) and savings plan (401(k)).
long-term incentive program.
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
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