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Role:

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 We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

• 12+ years in AI product development, automation, or digital transformation
• 7+ years leading technical teams (AI apps, LLMs, automation, workflow engineering)
• Experience delivering AI-enabled products without owning data science
• Strong understanding of LLMs, RAG, NLP, and intelligent automation
• Proven track record of operational transformation through automation
• Executive presence with the ability to influence C-suite and operational leaders
• Prior leadership in a healthcare provider, payer, or health tech organization
• Oracle Fusion integrations
• eClinicalWorks (eCW) ecosystem
• HIPAA data handling requirements knowledge