Senior Manager, External Innovation and Partnerships

Johnson & Johnson

. Develop clear theses on emerging technology trends, ecosystems, and capability gaps relevant to J&J’s enterprise technology agenda .

Posted 10/9/2026full-timeUnited StatesSenior💰 $122,000 - $212,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in enterprise technology strategy, including the ability to evaluate and communicate emerging technology trends, build strategic partnerships, and influence executive decision-making. Proficient in developing methodologies for opportunity assessment and fostering relationships across diverse technology ecosystems.

Highest-signal resume keywords

Enterprise Technology StrategyExecutive CommunicationRelationship BuildingTechnical EvaluationAI/ML Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Enterprise SoftwareAI/MLData PlatformsCloud InfrastructureTechnical StrategyOpportunity AssessmentPartner EvaluationRFI/RFP ProcessesTechnology Pilot DesignKnowledge Graphs

Soft Skills

Influencing SkillsSelf-StarterOwnershipUrgencyComfort in Ambiguity

Tools & Technologies

AI EngineeringMLOpsLLMOpsModel Lifecycle ToolingProduction Deployment PatternsAgentic AI PlatformsOrchestration PatternsHuman Review WorkflowsReusable AI Development AcceleratorsAI Security

Industry Keywords

Deep TechVenture EcosystemEnterprise ArchitectureHealthcare TechnologyTechnical Differentiation

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Develop clear theses on emerging technology trends, ecosystems, and capability gaps relevant to J&J’s enterprise technology agenda
Translate technical, market, and ecosystem signals into implications for enterprise architecture, product roadmaps, operating models, and strategic partnerships
Assess companies, technologies, and technical differentiation to distinguish durable capability from hype
Lead cross-functional work to gather input and consensus on strategic insights and outcomes
Shape outcomes in a matrixed operating environment using insights from business groups, technology teams, and external ecosystem partners
Build and maintain a repeatable sourcing and external engagement approach for deep tech, enterprise software, AI, infrastructure, security, and priority technology domains
Define sourcing hypotheses, technical evaluation criteria, search strategies, and workflows from discovery through assessment, engagement, pilot design, and progression
Create internal guidance, playbooks, templates, governance, and decision-gate mechanisms for evaluating external partners
Map and cultivate ecosystems across startups, enterprise vendors, venture networks, research labs, academia, and strategic technology partners
Engage promising companies, build trusted relationships, and help shape partner roadmaps toward J&J-relevant enterprise use cases
Partner with senior leaders and engineers across J&J Technology to assess opportunities and own analysis, synthesis, and communication of opportunity assessments
Build executive-ready presentations covering technology impact, value cases, adoption rationale, risks, integration considerations, and time-to-value
Advocate for thesis-driven opportunities through analysis, executive communication, enterprise-readiness assessment, and constructive challenge
Develop methodologies for opportunity scoring and measuring program impact
Develop executive-level narratives and visual communication about technology strategies and enterprise IT outcomes
Present recommendations to senior leaders and bring structure, operational discipline, and momentum to complex initiatives

Requirements

What you’ll need

4–6+ years in enterprise technology, technical strategy, product, engineering-adjacent roles, venture/startup ecosystem engagement, external innovation, or related fields
Strong familiarity with enterprise software, AI/ML, data platforms, security, cloud infrastructure, advanced compute, or other deep tech domains relevant to large-scale enterprise environments
Demonstrated ability to build a thesis on an emerging technology trend, define where value may emerge, and translate that thesis into a focused sourcing and partner pipeline
Proven experience communicating to executive audiences and building compelling presentations that influence decisions
Ability to evaluate technical differentiation, implementation feasibility, integration considerations, and likely enterprise impact in partnership opportunities
Experience building relationships across startups, venture-backed companies, enterprise vendors, research organizations, and internal technical stakeholders
Strong relationship-building skills and ability to influence across technical and business teams
Comfort working with technical teams and translating between engineering, architecture, product, business, and executive audiences
Self-starter with strong ownership, urgency, and comfort operating in ambiguity
Genuine passion for healthcare and the potential of technology 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 field a plus
Experience navigating deep tech or enterprise technology ecosystems and identifying early companies with potential to influence enterprise capabilities or future technology roadmaps
Experience in executive communication and presenting strategic opportunities to leadership
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, tokenomics, model selection tradeoffs, inference costs, caching, routing, or cloud/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 GenAI governance is helpful

Benefits

Comp & perks

Retirement plan (pension)
Savings plan (401(k))
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 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
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period10 days
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year
Additional company benefits information available through the J&J employee benefits program