About This Role:Career-defining. Life-changing.iRhythm is creating a healthier future through innovative cardiac care. Our Data, Analytics & AI organization is building governed platforms, data products, and intelligent workflows that help our teams make better decisions and deliver more value.
About This RoleThe Director, AI Platform & Transformation will lead iRhythm's enterprise AI strategy across platform, technology, business transformation, and adoption. This role will move AI from experimentation into secure, scalable, measurable production use.
You will combine executive leadership with hands-on technical depth, partnering with business leaders, Data and Engineering, IT, Security, Privacy, Legal, Compliance, Quality, and Finance.
What You Will Be Doing- Define the AI platform and transformation roadmap, aligned to business priorities and measurable outcomes.
- Prioritize AI opportunities across Clinical Operations, Commercial, Finance, Customer Care, Manufacturing, Quality, R&D, and enterprise functions.
- Lead initiatives from discovery through production launch, adoption, and continuous improvement.
- Architect and scale AI applications and platforms using generative AI, LLMs, RAG, agents, workflow orchestration, and model evaluation.
- Partner with Data Platform and Engineering to make governed data products, semantic definitions, metadata, lineage, and data quality usable by AI systems.
- Establish standards for reliability, autoscaling, performance, security, privacy, testing, monitoring, observability, incident response, lifecycle management, and cost control.
- Build business cases, value-realization plans, governance playbooks, and executive reporting.
- Lead and grow teams and strategic vendor partnerships while driving AI literacy and adoption across the organization.
Technology EnvironmentOur environment spans the enterprise AI and data stack. Experience with every named technology is not required.- AI and agents: Glean, LLMs, LangChain, LangGraph, RAG, workflow orchestration, model evaluation, MLflow, AWS Bedrock, vLLM, Ray, Model Context Protocol (MCP), Langfuse, prompt management, guardrails, and human-in-the-loop workflows.
- Data and analytics: Snowflake, Snowflake Cortex, Databricks, PySpark, Spark Structured Streaming, PyTorch, Scala, FastAPI, semantic views, governed data products, Tableau, Retool, data quality, metadata, cataloging, and lineage.
- Cloud and integration: AWS, Azure, APIs, CI/CD, observability, Alation, OAuth/SSO, and integrations with Jira, Confluence, GitLab, Salesforce, QAD, Workday, Microsoft 365, SharePoint, and Teams.
Required Qualifications- 7+ years of experience building and scaling AI software products serving audiences ranging from thousands to millions of users.
- Experience designing and operating large-scale machine learning infrastructure, including autoscaling, reliability, and production performance optimization.
- 4+ years of experience building AI and generative AI systems, including developing AI models, fine-tuning LLMs, evaluating model quality, deploying and productionizing LLM applications, and monitoring them in enterprise environments.
- 3+ years of hands-on experience building AI applications and platforms using LLMs, LangChain, LangGraph, RAG, workflow orchestration, MLflow, and AWS Bedrock.
- 3+ years of experience as the owner of an applied AI product domain, such as real-world data, agentic environments, evaluation, or multimodal and multilingual ML, where you drove significant business outcomes.
- Hands-on experience deploying and operating AI systems using vLLM, Ray, the Model Context Protocol (MCP), and Langfuse.
- 7+ years of professional experience with Python and strong experience with PySpark, Spark Structured Streaming, PyTorch, Scala, and FastAPI.
- Demonstrated experience building AI products that support healthcare decision-making.
- Demonstrated experience building AI platforms for healthcare clients or within the healthcare industry.
- Professional experience with Databricks or Snowflake.
- 12 years of experience working in and with Technology Organizations. 5 years in a leadership role.
- Excellent executive communication, cross-functional leadership, and judgment in regulated or high-consequence environments.
- Bachelor's degree in a related field or equivalent practical experience.
Preferred Qualifications- PhD in computer science, mathematics, software engineering, or a related technical field. This is preferred but not required.
- Familiarity with HIPAA, FDA-regulated environments, SOX, GDPR, or comparable frameworks.
- Experience establishing AI governance, responsible-AI reviews, enterprise standards, or AI literacy programs.
- Experience with strategic vendors, implementation partners, and complex build-versus-buy decisions.
LocationRemote within the United States.
Location:Remote - US
Actual compensation may vary depending on job-related factors including knowledge, skills, experience, and work location.
Estimated Pay Range$218,000.00 - $284,000.00
