Johnson & Johnson · 9 hours ago
Manager, Technical Product Management - AI, Data & Insights
Johnson & Johnson is a leader in healthcare innovation, dedicated to improving health outcomes through advanced treatments and technologies. The Manager, Technical Product Management – AI, Data & Insights will blend technical product ownership with engineering leadership to deliver AI solutions that enhance commercial pharma operations. This role involves collaborating with various teams to drive product vision, manage analytics solutions, and ensure successful adoption within the organization.
Hospital & Health Care
Responsibilities
Define and communicate product vision for AI/GenAI-enabled analytics platforms. Prioritize features that leverage GenAI to enhance commercial decision-making
Along with the Technical Product owner, define and communicate to key partners the product vision and strategy including new features and improvements for products in Data & Insights portfolio. They will identify and prioritize product features backlog in alignment with business strategy
Define business value, measurement of return on investment, and realization of business outcomes. They will 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
Attract and retain talent by motivating and developing talent aligned with their career aspirations
Cultivate collaborative, healthy, inclusive, and credo-based culture of highly engaged, robust teams by modeling credo values, valuing diverse perspectives, with a high touch approach to employee talent and development
Conduct talent, organizational, and performance management
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
Qualification
Required
A bachelor's degree in computer science, Information Technology, Information Systems, Statistics, Data Science, or equivalent field of study
A minimum of 5 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 3 years proven experience leading mid-large data & insights product teams, delivering results, demonstrating leadership, influencing skills, and interdependent partnering skills
A minimum of 3+ 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
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
Hands-on experience in cloud technologies and expertise in AWS or Azure Tech stack is required
Experience in working in CI/CD framework and DevOps mode for data science and data engineering solutions
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; 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
Company
Johnson & Johnson
At Johnson & Johnson, we believe health is everything.
H1B Sponsorship
Johnson & Johnson has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (48)
2024 (56)
2023 (58)
2022 (59)
2021 (44)
2020 (27)
Funding
Current Stage
Late StageLeadership Team
Recent News
2025-10-07
2025-10-07
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