Director at Insulet Corporation

Job description

Job Summary Are you passionate about turning cutting-edge AI into measurable business impact? As the Director, Applied AI, you will lead the strategy, delivery, and adoption of transformational AI solutions across Insulet's most critical functions, including Quality, Global Operations, Supply Chain, Manufacturing, Medical, Clinical, Regulatory, and Post-Market organizations. In this highly visible leadership role, you will partner with senior business leaders to identify high-value opportunities and translate them into scalable AI and data products that enhance quality, compliance, operational performance, decision-making, and ultimately patient outcomes. As a key leader within the Enterprise AI & Data organization, you will combine deep applied AI expertise with product leadership, business partnership, and change management to move innovative ideas from concept to enterprise-wide impact. You'll play a pivotal role in shaping how AI is embedded into day-to-day operations, ensuring solutions are trusted, adopted, and capable of delivering lasting value. We're looking for a hands-on strategic leader who thrives at both the executive and execution levels, someone who can influence vision, build momentum, and deliver results. If you're excited by the opportunity to drive AI innovation in a mission-driven organization that improves lives, we'd love to connect. Role: Director, Applied AI The Director, Applied AI will lead the design, delivery, and adoption of AI solutions across Insulet’s Quality, Global Operations, Supply Chain, Manufacturing, Medical, Clinical, Regulatory, and Post-Market functions. This role will translate business opportunities into scalable AI and data products that improve quality, compliance, operational performance, decision-making, and patient outcomes. As part of the Enterprise AI and Data organization, this role requires applied AI expertise, product thinking, regulated-industry judgment, business partnership, delivery leadership, and change management. The ideal candidate will be a hands-on strategic leader who can operate at both executive and delivery levels. This leader will be accountable for moving AI and analytics use cases from idea to business impact, ensuring solutions are validated appropriately, embedded into daily workflows, and supported by the required foundational data and platforms. Key Responsibilities 1. Applied AI Strategy and Portfolio Leadership 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 convert business needs into clear product charters, value cases, roadmaps, and delivery plans. Partner with Finance and business owners to quantify benefits, including improved quality and compliance, productivity gains, cycle-time reduction, cost reduction, operational resilience, and better patient outcomes. 2. AI Product Development and Integration Partner with Quality, Operations, Supply Chain, Manufacturing, Medical, Clinical, Regulatory, and Post-Market teams to translate business questions into AI-enabled products and redesign workflows to embed AI into daily operations. Drive a product mindset by defining users, pain points, business outcomes, MVP scope, adoption plans, and product roadmaps. Advance AI-enabled 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 where fit for purpose. Lead cross-functional data and AI teams through the full product lifecycle from discovery and validation to production deployment, adoption, monitoring, and continuous improvement. Ensure AI outputs are actionable and embedded into quality, medical, manufacturing, supply chain, operational, and business review workflows. Ensure AI solutions are adopted through training, communication, workflow integration, support, and continuous feedback loops. 3. Responsible AI, Governance, and Risk Management Ensure AI solutions are developed and deployed in accordance with Insulet’s responsible AI principles, privacy and security standards, quality-system requirements, and medical device industry expectations. Establish risk-based governance and validation practices for AI use cases involving patient safety, product quality, regulatory reporting, medical activities, and regulated data. Promote responsible use of generative AI, including prompt management, output validation, source traceability, content safety, auditability, monitoring, and user accountability. Define guardrails for human-in-the-loop review, decision rights, escalation, auditability, and safe use of AI in regulated workflows. 4. People Leadership and Organizational Effectiveness Lead, coach, and develop a high-performing team of Product Leaders, Data Scientists, AI Engineers, Analytics professionals, and cross-functional delivery teams. Build and scale applied AI, analytics, and product management capabilities by attracting, developing, retaining, and mentoring top talent. Lead through influence across Quality, Operations, Supply Chain, Manufacturing, Medical, Clinical, Regulatory, IT, Data Engineering, Architecture, Privacy, and Cybersecurity to align priorities and drive execution. Drive organizational change required for successful AI adoption, including communication, stakeholder engagement, training, and executive alignment. Required Qualifications 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. Preferred Qualifications 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. NOTE: This position is eligible for hybrid working arrangements (requires on-site work from an Insulet office). #LI-Hybrid Additional Information: Compensation & Benefits: For U.S.-based positions only, the annual base salary range for this role is $204,300.00 - $306,450.00 This position may also be eligible for incentive compensation. We offer a comprehensive benefits package, including: • Medical, dental, and vision insurance • 401(k) with company match • Paid time off (PTO) • And additional employee wellness programs Application Details: This job posting will remain open until the position is filled. To apply, please visit the Insulet Careers site and submit your application online. Actual pay depends on skills, experience, and education. Insulet Corporation (NASDAQ: PODD), headquartered in Massachusetts, is an innovative medical device company dedicated to simplifying life for people with diabetes and other conditions through its Omnipod product platform. The Omnipod Insulin Management System provides a unique alternative to traditional insulin delivery methods. With its simple, wearable design, the tubeless disposable Pod provides up to three days of non-stop insulin delivery, without the need to see or handle a needle. Insulet’s flagship innovation, the Omnipod 5 Automated Insulin Delivery System, integrates with a continuous glucose monitor to manage blood sugar with no multiple daily injections, zero fingersticks, and can be controlled by a compatible personal smartphone in the U.S. or by the Omnipod 5 Controller. Insulet also leverages the unique design of its Pod by tailoring its Omnipod technology platform for the delivery of non-insulin subcutaneous drugs across other therapeutic areas. For more information, please visit insulet.com and omnipod.com. We are looking for highly motivated, performance-driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations. Our continued success depends on it! At Insulet Corporation all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. ( Know Your Rights )

Requirements

Must-haves

As part of the Enterprise AI and Data organization, this role requires applied AI expertise, product thinking, regulated-industry judgment, business partnership, delivery leadership, and change management.
Applied AI Strategy and Portfolio Leadership
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 convert business needs into clear product charters, value cases, roadmaps, and delivery plans.
Partner with Finance and business owners to quantify benefits, including improved quality and compliance, productivity gains, cycle-time reduction, cost reduction, operational resilience, and better patient outcomes.
AI Product Development and Integration
Drive a product mindset by defining users, pain points, business outcomes, MVP scope, adoption plans, and product roadmaps.
Apply generative AI, machine learning, computer vision, optimization, simulation, AI agents, and workflow automation where fit for purpose.
Lead cross-functional data and AI teams through the full product lifecycle from discovery and validation to production deployment, adoption, monitoring, and continuous improvement.
Ensure AI outputs are actionable and embedded into quality, medical, manufacturing, supply chain, operational, and business review workflows.
Ensure AI solutions are adopted through training, communication, workflow integration, support, and continuous feedback loops.
Responsible AI, Governance, and Risk Management
Ensure AI solutions are developed and deployed in accordance with Insulet’s responsible AI principles, privacy and security standards, quality-system requirements, and medical device industry expectations.
Establish risk-based governance and validation practices for AI use cases involving patient safety, product quality, regulatory reporting, medical activities, and regulated data.
Promote responsible use of generative AI, including prompt management, output validation, source traceability, content safety, auditability, monitoring, and user accountability.
Define guardrails for human-in-the-loop review, decision rights, escalation, auditability, and safe use of AI in regulated workflows.
People Leadership and Organizational Effectiveness
Lead, coach, and develop a high-performing team of Product Leaders, Data Scientists, AI Engineers, Analytics professionals, and cross-functional delivery teams.

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 platforms such as AWS, Azure, Databricks, Snowflake, ServiceNow, ERP, quality-management, manufacturing, laboratory, planning, or document-management ecosystems.
NOTE: This position is eligible for hybrid working arrangements (requires on-site work from an Insulet office). #LI-Hybrid

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningawsazure

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Wellness