Director, Applied AI - (Hybrid - Acton, MA)

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.

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