Sr. Director AI & Automation

Sr Director of AI & Automation

The Sr Director of AI & Automation leads the enterprise strategy, development, and delivery of AI-powered products, GenAI/LLM solutions, intelligent automation, and workflow transformation. This role focuses on applied AI, AI productization, LLM innovation, and automation-driven operational efficiency. This leader partners closely with the Data & Analytics organization, which owns data science, ML Ops, model deployment, monitoring, and data engineering. The Sr.

Director of AI & Automation focuses on business value, product delivery, workflow transformation, and enterprise adoption.

Key Responsibilities:

• Enterprise AI Strategy (Excluding Data Science & ML Ops)
  • Define the enterprise AI and GenAI strategy aligned to clinical, RCM, finance, and operational priorities
  • Identify high-value AI use cases and build a multi-year roadmap
  • Lead AI product vision, business case development, and value realization
  • Partner with Data & Analytics for model development, deployment, and ML Ops
• Applied AI & AI Product Development
  • Build AI-powered applications using existing models, APIs, and LLMs
  • Develop prototypes, POCs, and MVPs for AI-enabled workflows
  • Integrate AI into enterprise systems (EMR, ERP, CRM, RCM platforms)
  • Own AI product lifecycle: requirements → design → validation → adoption
  • Ensure AI solutions deliver measurable business outcomes
• GenAI, LLMs & Emerging Technology
  • Build LLM-powered copilots, chatbots, summarization tools, and classification engines
  • Develop prompt engineering standards and evaluation frameworks
  • Lead RAG-based application development (using Data & Analytics for data pipelines)
  • Pilot emerging AI technologies (voice AI, agentic workflows, computer vision)
  • Partner with Engineering to embed LLMs into enterprise workflows
• Domain AI Leadership (Without Data Science Ownership)
  • Clinical AI Enablement: documentation AI, quality measure prediction, workflow augmentation
  • RCM AI Enablement: denial workflows, coding augmentation, AR segmentation
  • Digital AI Enablement: chatbots, triage, personalization, provider experience AI
• Responsible AI & Business Side Governance
  • Define responsible AI usage guidelines and business guardrails
  • Ensure explainability, fairness, and ethical use in business workflows
  • Partner with Compliance, Legal, Security, and Data & Analytics on governance
  • Oversee business validation, documentation, and audit readiness
• Enterprise Automation Strategy
  • Define automation strategy across clinical ops, RCM, finance, HR, supply chain
  • Manage intake, prioritization, and ROI tracking
  • Establish automation governance, standards, and best practices
  • Drive enterprise adoption of automation solutions
• RPA & Workflow Automation Delivery
  • Lead RPA development (UiPath, Automation Anywhere, Power Automate)
  • Build workflow automations integrated with enterprise systems
  • Maintain bot library, versioning, and change management
  • Ensure automation solutions are scalable, resilient, and compliant
• Intelligent Automation (AI + Automation)
  • Build document understanding workflows (OCR, NLP, classification)
  • Automate email/fax routing, triage, and exception handling
  • Use AI predictions (from Data & Analytics) to trigger automated workflows
  • Create closed loop intelligent processes (AI → Automation → Data → AI)
• Process Engineering & Operational Excellence
  • Lead process mapping, redesign, and optimization
  • Ensure processes are automation-ready
  • Deliver measurable improvements in cycle time, throughput, and accuracy