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Insulet Corporation
Insulet Corporation
1,001 – 5,000 Employees
HardwareHealthcare
Insulet Corporation is a healthcare and medical device company developing, manufacturing, and distributing connected insulin delivery systems. Its best-known product, Omnipod, is a tubeless, wearable Pod-based platform designed to support continuous and automated insulin delivery, including Omnipod 5. Founded in 2000 and headquartered in Acton, Massachusetts, Insulet serves more than 600,000 customers across 26 countries. The company’s work spans medical device engineering, research and development, global manufacturing, and efforts to simplify diabetes management while advancing sustainability and community impact.
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Senior Director, Applied AI - Hybrid (Acton, MA)

Lead Insulet’s enterprise applied AI strategy and investment portfolio. Drive responsible AI adoption across patient engagement, commercial, digital, and operational functions in a diabetes medical-device company.

USUnited StatesMAMassachusetts
$280,600 – $420,850 / year
HybridFull-timeSeniorEnglish RequiredArtificial Intelligence
AWSAzureServiceNow

Description

  • Own a five-year-plus enterprise vision, strategy, capability roadmap, and investment portfolio for applied AI
  • Set priorities for AI initiatives spanning patient engagement, customer service, sales operations, marketing, provider engagement, market access, digital products, operations, and enterprise productivity
  • Convert enterprise business challenges into AI opportunities, investment theses, product portfolios, experiments, MVPs, and scalable capabilities
  • Present AI strategy, portfolio decisions, investment proposals, realized value, and risk assessments to the CTO, executive leadership team, and senior business stakeholders
  • Develop portfolio-level business cases and outcome metrics in partnership with Finance and business executives
  • Guide applied AI products and capabilities from discovery and prioritization through launch, adoption, and lifecycle management
  • Define product operating practices, decision rights, roadmaps, funding priorities, and governance structures
  • Expand reusable AI capabilities such as recommendations, segmentation, forecasting, copilots, AI agents, and workflow automation
  • Embed AI into CRM and service platforms, field tools, dashboards, digital experiences, and everyday business operations
  • Direct responsible AI delivery, including governance, risk evaluation, human oversight, auditability, output validation, content safety, escalation, and accountability
  • Build and develop a layered organization spanning product, data science, AI engineering, analytics, and cross-functional delivery
  • Establish the operating model, organizational capabilities, talent strategy, workforce plan, and leadership structure
  • Shape enterprise business and technology strategy through executive and cross-functional influence
  • Lead change and adoption programs that integrate AI into workflows, leadership practices, capability development, and decision-making

Requirements

  • Master’s degree in computer science, engineering, data science, analytics, business, or a related discipline
  • At least 18 years of progressively senior experience leading enterprise data, analytics, AI, digital, or technology organizations
  • Demonstrated success managing leaders and multidisciplinary teams
  • Track record of setting multiyear enterprise strategy, managing complex portfolios and investments, and producing measurable outcomes across functions
  • Deep knowledge of applied AI, machine learning, generative AI, large language models, AI agents, retrieval-augmented generation, copilots, predictive modeling, and workflow automation
  • Ability to influence executives and communicate strategy, investment decisions, value, and risk with CTO- and executive-leadership audiences
  • Preferred: background in healthcare, medical devices, life sciences, diabetes care, digital health, or another regulated sector
  • Preferred: experience scaling AI agents, customer-service copilots, commercial recommendation systems, patient-engagement intelligence, or comparable enterprise AI products
  • Preferred: knowledge of data governance, master data management, customer, provider, patient, and commercial data, plus enterprise analytics
  • Preferred: familiarity with Salesforce, ServiceNow, Genesys, AWS, Azure, Databricks, Snowflake, or comparable enterprise technology platforms

Benefits

  • Medical, dental, and vision coverage
  • 401(k) plan with employer matching
  • Paid time off
  • Additional employee wellness programs
  • Eligibility for incentive compensation

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