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Director, Applied AI
Insulet Corporation. Define high-value AI opportunities across Quality, Global Operations, Supply Chain, Manufacturing, Medical, Clinical, Regulatory, and Post-Market activities .
Posted 10/23/2026full-timeActon • Massachusetts • United StatesLead💰 $204,300 - $306,450 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and delivering AI-enabled products, with a strong focus on applied AI, machine learning, and workflow automation. Proven ability to lead cross-functional teams in complex environments while ensuring compliance with industry standards and driving organizational change.
Highest-signal resume keywords
Applied AI ExpertiseProduct LeadershipCross-Functional Team LeadershipStakeholder ManagementRegulated Data Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningGenerative AIComputer VisionPredictive ModelsWorkflow AutomationData AnalyticsOperational ExcellenceQuality Management ProcessesMVP DevelopmentChange Management
Soft Skills
Executive CommunicationStakeholder EngagementTraining and DevelopmentInfluence LeadershipOrganizational Change Management
Tools & Technologies
AWSAzureDatabricksSnowflakeServiceNowERP SystemsQuality Management SystemsLaboratory EcosystemsDocument Management SystemsPlanning Tools
Industry Keywords
HealthcareMedical DevicesLife SciencesDiabetes CareManufacturingSupply ChainQuality AssuranceClinical ResearchRegulatory CompliancePost-Market Surveillance
Tech Stack
Tools & technologiesAWSAzureCyber SecurityERPServiceNow
About the role
Key responsibilities & impact- Define high-value AI opportunities across Quality, Global Operations, Supply Chain, Manufacturing, Medical, Clinical, Regulatory, and Post-Market activities
- Facilitate AI opportunity workshops, use case prioritization sessions, solution design discussions, and executive readouts
- Translate ambiguous business challenges into structured AI opportunities, hypotheses, experiments, MVPs, and scalable products
- Partner with senior business leaders to create product charters, value cases, roadmaps, and delivery plans
- Quantify benefits with Finance and business owners, including quality and compliance improvements, productivity gains, cycle-time reduction, cost reduction, operational resilience, and patient outcomes
- Translate business questions into AI-enabled products and redesign workflows to embed AI into daily operations
- Drive product definition including users, pain points, business outcomes, MVP scope, adoption plans, and product roadmaps
- Advance AI capabilities including complaint and adverse-event analysis, reportability support, quality-event triage, investigation assistance, signal detection, document intelligence, predictive maintenance, yield and scrap optimization, planning, and operational decision support
- Apply generative AI, machine learning, computer vision, optimization, simulation, AI agents, and workflow automation
- Lead cross-functional data and AI teams through discovery, validation, production deployment, adoption, monitoring, and continuous improvement
- Ensure AI outputs are actionable and embedded into operational and business review workflows
- Drive adoption through training, communication, workflow integration, support, and feedback loops
- Ensure compliance with responsible AI principles, privacy and security standards, quality-system requirements, and medical-device industry expectations
- Establish risk-based governance and validation practices for regulated AI use cases
- Define guardrails for human-in-the-loop review, decision rights, escalation, auditability, and safe AI use
- Lead, coach, and develop Product Leaders, Data Scientists, AI Engineers, Analytics professionals, and cross-functional delivery teams
- Build and scale applied AI, analytics, and product-management capabilities
- Lead through influence across business, technology, privacy, and cybersecurity functions
- Drive organizational change through communication, stakeholder engagement, training, and executive alignment
Requirements
What you’ll need- Master’s degree in computer science, engineering, data science, analytics, operations research, biomedical engineering, life sciences, business, or a related field
- 12+ years of experience leading cross-functional teams and delivering enterprise-scale data, analytics, automation, or AI products
- Strong understanding of applied AI, machine learning, generative AI, large language models, AI agents, RAG, computer vision, predictive models, optimization, and workflow automation
- Demonstrated ability to lead AI products from ideation through MVP, production deployment, adoption, monitoring, and continuous improvement
- Strong product leadership, executive communication, stakeholder management, and change-management capabilities in complex environments
- Experience in healthcare, medical devices, life sciences, diabetes care, manufacturing, supply chain, quality, medical affairs, clinical, regulatory, or post-market surveillance
- Experience with validated systems, regulated data, quality management processes, complaint handling, adverse-event reporting, manufacturing operations, or operational excellence
- Familiarity with platforms such as AWS, Azure, Databricks, Snowflake, ServiceNow, ERP, quality-management, manufacturing, laboratory, planning, or document-management ecosystems
Benefits
Comp & perks- Incentive compensation eligibility
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) with company match
- Paid time off (PTO)
- Additional employee wellness programs
- Hybrid working arrangements