Senior Director, Applied AI

Insulet Corporation

. Define and own a 5+ year enterprise applied AI vision, strategy, capability roadmap, and investment portfolio .

Posted 9/25/2026full-timeActon • Massachusetts • United StatesSenior💰 $280,600 - $420,850 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureServiceNow

About the role

Key responsibilities & impact

Define and own a 5+ year enterprise applied AI vision, strategy, capability roadmap, and investment portfolio
Set enterprise priorities across patient engagement, customer service, sales operations, marketing effectiveness, provider engagement, market access, digital, operations, and enterprise productivity
Translate enterprise challenges into AI opportunities, investment theses, product portfolios, experiments, MVPs, and scaled capabilities
Present AI strategy, portfolio choices, investment recommendations, value realization, and risk assessments to the CTO, ELT, and senior business leaders
Establish portfolio-level value cases and outcome measures with Finance and business executives
Own applied AI products and capabilities from discovery and prioritization through deployment, adoption, and lifecycle management
Establish product operating mechanisms, decision rights, roadmaps, funding priorities, and governance
Scale reusable AI capabilities including recommendations, segmentation, forecasting, copilots, AI agents, and workflow automation
Drive AI integration into CRM, service platforms, field tools, dashboards, digital experiences, and business operating rhythms
Lead responsible AI deployment, governance, risk assessment, human oversight, auditability, output validation, content safety, escalation, and accountability
Build, lead, and develop a multi-layer organization across product, data science, AI engineering, analytics, and cross-functional delivery
Define the operating model, organizational capabilities, talent strategy, workforce plan, and leadership structure
Influence enterprise business and technology strategy with executive and cross-functional leaders
Lead enterprise change and adoption strategies embedding AI into workflows, leadership routines, capability building, and decision-making

Requirements

What you’ll need

Master's degree in computer science, engineering, data science, analytics, business, or a related field
18+ years of progressive experience leading enterprise-scale data, analytics, AI, digital, or technology organizations
Significant leadership of leaders and multi-disciplinary teams
Experience setting multi-year enterprise strategy, owning complex portfolios and investment decisions, and delivering measurable business outcomes across multiple functions
Strong understanding of applied AI, machine learning, generative AI, large language models, AI agents, RAG, copilots, predictive models, and workflow automation
Ability to influence executive stakeholders and communicate strategy, investments, value, and risk at CTO and ELT levels
Preferred: experience in healthcare, medical devices, life sciences, diabetes care, digital health, or regulated industries
Preferred: experience scaling AI agents, customer service copilots, commercial recommendation engines, patient engagement intelligence, or other enterprise AI products
Preferred: understanding of data governance, MDM, customer, provider, patient, and commercial data, and enterprise analytics
Preferred: familiarity with Salesforce, ServiceNow, Genesys, AWS, Azure, Databricks, Snowflake, or similar enterprise technology ecosystems

Benefits

Comp & perks

Medical, dental, and vision insurance
401(k) with company match
Paid time off (PTO)
Additional employee wellness programs
Incentive compensation eligibility