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Job Function: Data Analytics & Computational Sciences
Job Sub Function: Data Science Portfolio Management
Job Category:Professional
All Job Posting Locations:Raritan, New Jersey, United States of America
Job Description:We are searching for the best talent for Director, Global AI Forward Deployed Programs to be in Raritan, NJ.About Innovative MedicineOur expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at
Purpose:The Director, Global AI Forward Deployed Programs will be part of the AI Strategy and Execution team in the Global Commercial Strategy Organization (GCSO). This leader will embed directly with Marketing, Medical Affairs, and Market Access teams at the Global level to build and ship production Generative AI and Agentic AI solutions that solve real business problems for our customers and J&J GCSO teams.
This is a global leadership role that builds productized solutions fSO and influences regional AI teams with a strong bias toward action and impact orientation. The Director will set the technical and operational bar for every pilot and scaled AI solution across the Global commercial strategy organization and influence this for every region. They will stay close enough to the technical work in GCSO and in the regions, to review and align AI architectures, debug production issues, and pair with global and regional data scientists, data engineers and advanced analytics professionals. Their primary impact will come from the global standards they set, and the products they build. This leader will define key metrics of success fSO AI products from development to delivery and ensure coordination across regions on the development and delivery of AI products.
You Will Be Responsible For:Capability Building & Leadership- Build the Forward Deployed Engineering competency and influence without authority across GCSO and the regions. Partner with the regions, R&D and Supply Chain to develop, and retain engineering talent with strong technical depth and business instincts across the enterprise.
- Provide technical standards, OKRs tied to business outcomes and AI adoption goals. Establish operating cadences such as standups, retrospectives, and engagement reviews that keep the team aligned.
- Partner with AI fluency leader to ensure technical skill building especially in the area of agentic AI fSO.
Engagement Delivery & Technical Excellence- Define AI use cases, scope work, and align success criteria before engagements begin.
- Define and monitor financial impact metrics such as token costs and ROI of AI products.
- Review technical architectures, harness designs, eval results, and code produced by the team or vendor partners. Ensure solutions are high-quality, measurably reliable, production-ready, and integrated into the AI ecosystem (eg Engagement.ai and Connext).
- Stay hands-on: lead technical discovery sessions, prototype solutions, and debug complex issues alongside the team and vendor partners.
- Ensure all solutions meet regulatory, privacy, ethical, and medical/legal/regulatory (MLR) standards, and partner with Technology, Privacy, and Compliance from design through deployment.
Scale, Reuse & Influence- Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that capture what the team learns in the field.
- Partner with J&J Technology, Data Science, and Product teams to turn field insights into platform and product improvements. Serve as the voice of the business in AI planning and roadmap discussions.
- Support evaluation of external AI vendors, model providers, and enterprise platforms. Bring hands-on deployment experience to build-versus-buy decisions.
- Champion AI adoption across GCSO, and help business teams move from pilots to sustained use.
Agent Harnesses, Evaluation & Production Deployment- Define the team's standards for agent harnesses: orchestration patterns, tool and API integrations, context and memory management, guardrails, and human-in-the-loop checkpoints suited to a regulated commercial environment.
- Establish an evaluation discipline for every engagement. This includes task-specific eval sets built with business and MLR partners, automated regression suites, LLM-as-judge and human review workflows, and clear quality thresholds a solution must meet before release.
- Ensure evals run continuously, not just at launch, so model upgrades, prompt changes, and new data sources are tested against agreed benchmarks before reaching users.
- Own the path from prototype to production with Technology and platform teams, including CI/CD for AI applications, staged rollouts, versioning of prompts and models, and rollback plans.
- Put observability in place for deployed solutions: tracing, cost and latency monitoring, quality and drift tracking, and incident response. Make sure issues found in production feed back into evals and harness improvements.
- Build reusable harness components, eval frameworks, and deployment templates into the team's playbooks so each new engagement starts further ahead than the last.
Qualifications / RequirementsEducation:- Bachelor's degree in Computer Science, Engineering, Operations Research, or a related field, or equivalent experience, is required.
- Master's or PhD in a related field is preferred.
Experience & Skills- 7+ years of experience in software engineering, ML/AI engineering, solutions architecture, or a technical client-facing role such as forward deployed engineering or technical consulting.
- 5+ years of people management experience leading engineers in a delivery, services, or embedded/Forward Deployed Engineering-style organization, with a track record of hiring, developing, and retaining strong technical talent.
- Experience building the FDE capability from scratch.
- Hands-on experience shipping production LLM applications and AI agents, including RAG architectures, tool use, multi-step orchestration, and prompt engineering.
- Demonstrated experience designing and running LLM evaluations, such as building eval datasets, defining quality metrics, automated and human-in-the-loop review, and using results to make release decisions.
- Experience deploying and operating AI systems in production, including CI/CD, monitoring and observability, cost and latency management, and working within enterprise security, privacy, and compliance requirements.
- Experience working directly with business stakeholders on technical implementations, including comfort navigating complex organizational dynamics in a large enterprise.
- Executive presence, with the ability to move fluidly between strategic conversations with senior leaders and hands-on debugging sessions with engineers.
- Strong written and verbal communication skills, including the ability to translate technical complexity into clear narratives for diverse audiences.
- Thrives in ambiguity and is energized by building something new.
- Pharma, healthcare, or regulated industry experience preferred.
- Familiarity with Salesforce, omnichannel marketing ecosystems, and field engagement workflows is a plus.
Location- Based in Raritan, NJ or Horsham, PA, with required travel between both locations. Additional travel to business partner and global sites as needed (up to 25%)
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via , internal employees contact AskGS to be directed to your accommodation resource.
#JNJDataScience #JNJIMCommercial-DS
Required Skills:Preferred Skills:Advanced Analytics, Business Case Modeling, Consulting, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Master Data Management (MDM), Negotiation, Product Portfolio Management, Quality Control (QC), Resource Planning, Tactical Planning, Technical Credibility
The anticipated base pay range for this position is :The anticipated base pay range for this position is $164,000 and $282,900 USD.
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: 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 Additional information can be found through the link below.
