IN
InsuletSenior Director, Applied AI - Hybrid (Acton, MA)
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Before you apply
SalaryNo pay range posted
LocationActon, Massachusetts
Work modehybrid
Typefull-time
SeniorityDirector
Company size1,001–5,000 people
PostedSep 25, 2026 · 1mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Define and own a 5+ year enterprise applied AI vision, strategy, capability roadmap, and investment portfolio aligned with company strategy and technology modernization priorities.
Operate at CTO and ELT levels while leading a multi-layer, diverse organization of directors, senior managers, product leaders, data scientists, AI engineers, analytics professionals, and cross-functional delivery teams.
Translate ambiguous enterprise challenges into strategic AI opportunities, investment theses, product portfolios, experiments, MVPs, and scaled capabilities.
Present applied AI strategy, portfolio choices, investment recommendations, value realization, and risk assessments to the CTO, ELT, and senior business leaders.
Partner with Finance and business executives to establish portfolio-level value cases and outcome measures.
Own the end-to-end portfolio of applied AI products and capabilities across multiple business functions, from discovery and prioritization through production deployment, adoption, and lifecycle management.
Establish product operating mechanisms, decision rights, roadmaps, funding priorities, and governance across a portfolio of AI-enabled products and business capabilities.
Scale reusable applied AI capabilities, including patient adherence intelligence, next-best-action recommendations, segmentation, field effectiveness, marketing optimization, forecasting, customer service copilots, AI agents, and workflow automation.
Drive enterprise integration of AI into CRM, service platforms, field tools, dashboards, digital experiences, and business operating rhythms.
Hold leaders accountable for delivery discipline, adoption, measurable outcomes, risk management, and continuous improvement across the portfolio.
Skills
CRM
About the role
Job Summary
Senior Director, Applied AI
The Senior Director, Applied AI will define and lead Insulet’s enterprise AI vision, strategy, and operating model, transforming critical business priorities into scalable AI and data-driven solutions that deliver measurable outcomes.
This leader will oversee a diverse portfolio spanning patient engagement, customer experience, commercial effectiveness, market access, digital, operations, and enterprise productivity, while driving AI adoption and business value at scale.
The ideal candidate is a strategic enterprise leader who can influence at the executive level, shape investment priorities, and lead high-performing teams across product, data science, AI engineering, analytics, and cross-functional delivery to accelerate innovation and impact across the organization.
Senior Director, Applied AI
The Senior Director, Applied AI will set the enterprise vision, strategy, and operating model for the applied AI portfolio, translating Insulet’s most critical business priorities into scalable AI and data products across multiple business functions.
As a senior leader within the Enterprise AI and Data organization, this role will own a multi-year portfolio spanning patient engagement, customer experience, commercial and growth effectiveness, market access, digital, operations, and enterprise productivity. The role will shape enterprise AI investment choices, establish outcome and adoption standards, and ensure applied AI capabilities move from experimentation to sustained business impact.
The ideal candidate is an enterprise leader who can operate at CTO and ELT levels while leading a multi-layer, diverse organization of directors, senior managers, product leaders, data scientists, AI engineers, analytics professionals, and cross-functional delivery teams.
Responsibilities
Key Responsibilities
1.
Enterprise Applied AI Strategy and Portfolio Ownership
• Define and own a 5+ year enterprise applied AI vision, strategy, capability roadmap, and investment portfolio aligned with company strategy and technology modernization priorities.
• Set enterprise priorities across patient engagement, customer service, sales operations, marketing effectiveness, provider engagement, market access, digital, operations, and enterprise productivity.
• Translate ambiguous enterprise challenges into strategic AI opportunities, investment theses, product portfolios, experiments, MVPs, and scaled capabilities.
• Present applied AI strategy, portfolio choices, investment recommendations, value realization, and risk assessments to the CTO, ELT, and senior business leaders.
• Partner with Finance and business executives to establish portfolio-level value cases and outcome measures, including growth, retention, productivity, cost, service quality, and patient outcomes.
2.
Enterprise AI Product and Business Capability Leadership
• Own the end-to-end portfolio of applied AI products and capabilities across multiple business functions, from discovery and prioritization through production deployment, adoption, and lifecycle management.
• Establish product operating mechanisms, decision rights, roadmaps, funding priorities, and governance across a portfolio of AI-enabled products and business capabilities.
• Scale reusable applied AI capabilities, including patient adherence intelligence, next-best-action recommendations, segmentation, field effectiveness, marketing optimization, forecasting, customer service copilots, AI agents, and workflow automation.
• Drive enterprise integration of AI into CRM, service platforms, field tools, dashboards, digital experiences, and business operating rhythms.
• Hold leaders accountable for delivery discipline, adoption, measurable outcomes, risk management, and continuous improvement across the portfolio.