Johnson & Johnson
Johnson & Johnson
Johnson & Johnson is a global healthcare company working across innovative medicine and medical technology. Its teams develop solutions in oncology, immunology, neuroscience, specialty ophthalmology, interventional care, and orthopaedics, combining science and technology to address complex health needs. The company also emphasizes health equity, environmental sustainability, diversity, and inclusion as it serves providers, patients, and communities worldwide.

Senior Manager, External Innovation and Partnerships – Johnson & Johnson, Cambridge Hybrid

Senior Manager responsible for identifying emerging technology partners for Johnson & Johnson’s healthcare businesses. The role develops technology theses, opportunity assessments, and enterprise partnership pipelines.

Description

  • Develop theses on emerging technology trends, ecosystems, and capability gaps aligned with J&J’s enterprise technology agenda
  • Convert technical, market, and ecosystem signals into implications for enterprise architecture, product roadmaps, operating models, and strategic partnerships
  • Evaluate companies, technologies, and sources of technical differentiation
  • Lead cross-functional efforts to collect input and build alignment around strategic insights and outcomes
  • Establish and maintain a repeatable sourcing and external-engagement model across deep technology and enterprise technology domains
  • Set sourcing hypotheses, technical evaluation criteria, search strategies, and workflows spanning discovery, assessment, engagement, pilot design, and progression
  • Develop guidance, playbooks, templates, governance, and decision gates for assessing external partners
  • Map and develop relationships across startups, enterprise vendors, venture networks, research labs, academia, and strategic technology partners
  • Engage promising companies and help align partner roadmaps with J&J-relevant enterprise use cases
  • Work with senior leaders and engineers across J&J Technology to evaluate opportunities
  • Lead the analysis, synthesis, and communication of opportunity assessments, feasibility reviews, strategic fit, and expected outcomes
  • Prepare executive presentations on technology impact, value cases, adoption rationale, risks, integration considerations, and time to value
  • Promote thesis-driven opportunities with business and technology stakeholders
  • Create a framework for scoring opportunities and measuring program impact
  • Develop executive-level narratives and visual communications
  • Present recommendations to senior leadership
  • Add structure, operational discipline, and momentum to complex, ambiguous initiatives

Requirements

  • 4–6+ years of experience in enterprise technology, technical strategy, product, engineering-adjacent roles, venture or startup ecosystem engagement, external innovation, or a related field
  • Strong knowledge of enterprise software, AI/ML, data platforms, security, cloud infrastructure, advanced computing, or other deep technology areas used in large enterprises
  • Track record of forming a thesis around an emerging technology trend and converting it into a focused sourcing and partner pipeline
  • Experience communicating with executive audiences and creating persuasive presentations that support decision-making
  • Ability to assess technical differentiation, implementation feasibility, integration needs, and likely enterprise impact
  • Experience building relationships with startups, venture-backed companies, enterprise vendors, research organizations, and internal technical stakeholders
  • Strong relationship-building skills with the ability to influence technical and business teams
  • Ability to translate between engineering, architecture, product, business, and executive audiences
  • Self-directed approach, strong ownership, urgency, and comfort working through ambiguity
  • Clear interest in healthcare and technology’s potential to improve outcomes
  • Technical, engineering, computer science, product, or enterprise architecture background strongly preferred
  • Bachelor’s or advanced degree in computer science, engineering, information systems, applied sciences, or a related technical discipline is a plus
  • Familiarity with partner evaluation, RFI/RFP processes, due diligence, or technology pilot design
  • Exposure to AI engineering, MLOps, LLMOps, model lifecycle tooling, or production deployment patterns for AI-enabled products is a plus
  • Familiarity with agentic AI platforms, orchestration patterns, retrieval, tool use, human-review workflows, or reusable AI development accelerators is helpful
  • Knowledge of knowledge graphs, semantic layers, ontologies, vector databases, embedding pipelines, or context-engineering patterns is beneficial
  • Awareness of AI evaluation, scorecards, observability, model monitoring, drift detection, responsible AI controls, or value-measurement approaches is a plus
  • Practical understanding of AI cost drivers, token economics, model-selection tradeoffs, inference costs, caching, routing, or cloud and GPU cost management would be valuable
  • Familiarity with AI security, red teaming, model risk, prompt injection, data leakage, third-party model governance, licensing, SLAs, or enterprise generative AI governance is helpful

Benefits

  • Retirement pension plan
  • 401(k) savings plan
  • Vacation allowance of 120 hours per calendar year
  • Sick-time allowance of 40 hours per calendar year
  • Holiday pay, including floating holidays, for 13 days per calendar year
  • Work, personal, and family time of up to 40 hours per calendar year
  • Parental leave of 480 hours within one year following the birth, adoption, or foster care of a child
  • Bereavement leave of 240 hours for an immediate family member or 40 hours for an extended family member per calendar year
  • Caregiver leave of 80 hours during a rolling 52-week period
  • Volunteer leave of 32 hours per calendar year
  • Military spouse time off of 80 hours per calendar year
  • Inclusive interview process and disability accommodations

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