Senior Manager, AI Enablement
About The Position
Johnson & Johnson Innovative Medicine Technology is seeking a technologist with strong artificial intelligence experience to support the safe, scalable adoption of AI, including generative and agentic AI, across North America (NA) commercial teams. As Senior Manager, AI Enablement, you will play a critical role in realizing strategic NA Commercial priorities through the power of AI, translating key opportunities into well-articulated problem statements, requirements, and success criteria — partnering with AI platform team to deliver fit-for-purpose solutions with measurable business impact. You will serve as a bridge between product, platform, and AI teams working seamlessly with business stakeholders—beginning with CRM and Patient Experience—using product management and design thinking practices to define clear problem statements, validate value propositions, and establish KPIs/OKRs that demonstrate value realization. You will lead day-to-day cross-functional delivery and adoption activities to move solutions from experimentation to scale, ensuring appropriate governance through structured demand intake, triage, and prioritization, and positioning capabilities to be reused and scaled across the portfolio in a compliant, responsible manner.
Requirements
- Bachelor’s degree required; advanced degree preferred in Computer Science, Data Science, AI/ML, Business, Engineering, or related field.
- 10+ years delivering AI/analytics and digital products in industry; demonstrable experience taking GenAI/LLM solutions into production.
- 2+ years of experience building and leading high-performing teams, including hiring, coaching, performance management, and developing technical leaders.
- Working knowledge of modern ML/LLM architectures, RAG, prompt engineering, MLOps/LLMOps, and cloud deployment patterns.
- Proven track record managing product delivery lifecycle, prioritization, OKRs/KPIs, and stakeholder alignment.
- Practical experience implementing privacy, security, and auditability controls in regulated environments.
- Strong ability to translate technical concepts for business leaders and influence cross-functional decisions.
Nice To Haves
- Life sciences or healthcare experience strongly preferred.
- Experience working in healthcare is preferred.
Responsibilities
- Execute the AI enablement strategy by partnering with product, data, and AI platform teams to translate business priorities into clear problem statements, user needs, and outcome hypotheses, with explicit value propositions and measurable KPIs/OKRs.
- Serve as the day-to-day bridge between business stakeholders and Product, Data, AI Engineering, Data Sciences, and business teams, applying Product Management and Design Thinking principles to define clear problem statements, validate value propositions, and ensure business requirements are faithfully translated for AI delivery teams.
- Enable adoption and operationalization by partnering on change management (communications, training, UAT, rollout plans) and coordinating run-state handoffs; contribute business context and stakeholder requirements to build-vs-buy evaluations; support vendor engagement by articulating business needs and success criteria.
- Manage governance for a subset of AI demand by establishing structure for intake, triage, and prioritization (e.g., strategic alignment, value vs. effort, readiness, risk/compliance), surfacing business requirements and constraints that inform build/buy/partner decisions
- Maintain a transparent backlog and communicate status, decisions, and outcomes for all stakeholders.
- Ensure responsible, compliant delivery by embedding privacy, security, legal/compliance, and responsible AI controls into requirements, testing, documentation, and launch readiness (e.g., human-in-the-loop, monitoring, auditability, go/no-go criteria).
- Operate with agile delivery disciplines (backlog refinement, sprint planning, demos, retrospectives) and contribute to team capability building by mentoring teammates, documenting playbooks, and continuously improving ways of working.
- Apply product management and design thinking practices (empathize/define/ideate/prototype/test) to validate use cases, define MVPs, and instrument solutions so value realization can be measured and reported against agreed KPIs.
- Drive scale by identifying reuse opportunities (data access, evaluations, prompt/workflow templates, integration approaches) across commercial functions and partnering with AI platform team to ensure solutions are positioned for cross-portfolio leverage.
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
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What This Job Offers
Job Type
Full-time
Career Level
Manager
