Director, Applied AI - (Hybrid - Acton, MA)
About The Position
The Director, Applied AI leads the strategy, design, delivery, and adoption of AI solutions across Insulet’s Quality, Global Operations, Supply Chain, Manufacturing, Medical, Clinical, Regulatory, and Post-Market functions. As a leader in the Enterprise AI and Data organization, this role partners with senior business leaders to identify high-value opportunities and translate business challenges into scalable AI and data products that improve quality, compliance, operational performance, decision-making, and patient outcomes. The Director guides use cases from discovery and validation through production deployment, adoption, monitoring, and continuous improvement, ensuring solutions are appropriately validated, supported by foundational data and platforms, and embedded in daily workflows. The role combines applied AI expertise with product leadership, regulated-industry judgment, executive communication, delivery leadership, and change management. It leads cross-functional teams and develops organizational capabilities while establishing responsible AI practices, risk-based governance, and validation for use cases involving patient safety, product quality, regulatory reporting, medical activities, and regulated data. The position is hybrid and requires on-site work from an Insulet office.
Requirements
- 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.
Nice To Haves
- 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 AWS, Azure, Databricks, Snowflake, ServiceNow, ERP, quality-management, manufacturing, laboratory, planning, or document-management platforms.
Responsibilities
- 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 develop product charters, value cases, roadmaps, and delivery plans.
- Work with Finance and business owners to quantify benefits such as quality and compliance improvements, productivity gains, cycle-time and cost reductions, operational resilience, and patient outcomes.
- Partner with business functions to translate questions into AI-enabled products and redesign workflows to integrate AI into daily operations.
- Define product users, pain points, outcomes, MVP scope, adoption plans, and product roadmaps.
- Advance AI-enabled capabilities such as 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 where appropriate.
- Lead cross-functional data and AI teams through discovery, validation, production deployment, adoption, monitoring, and continuous improvement.
- Ensure AI outputs are actionable and embedded in relevant quality, medical, manufacturing, supply-chain, operational, and business-review workflows.
- Support adoption through training, communications, workflow integration, support, and continuous feedback.
- Ensure AI solutions comply with responsible AI principles, privacy and security standards, quality-system requirements, and medical-device industry expectations.
- Establish risk-based governance and validation practices for use cases involving patient safety, product quality, regulatory reporting, medical activities, and regulated data.
- Promote responsible generative AI practices, including prompt management, output validation, source traceability, content safety, auditability, monitoring, and user accountability.
- Define guardrails for human review, decision rights, escalation, auditability, and safe AI use in regulated workflows.
- Lead, coach, and develop a high-performing team of Product Leaders, Data Scientists, AI Engineers, analytics professionals, and cross-functional delivery teams.
- Build applied AI, analytics, and product-management capabilities by attracting, developing, retaining, and mentoring talent.
- Influence cross-functional partners across business functions and IT, data engineering, architecture, privacy, and cybersecurity to align priorities and execute.
- Drive organizational change for AI adoption through communication, stakeholder engagement, training, and executive alignment.
Benefits
- Medical, dental, and vision insurance
- 401(k) with company match
- Paid time off (PTO)
- Employee wellness programs
- May be eligible for incentive compensation
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What This Job Offers
Job Type
Full-time
Career Level
Director
