Develop and execute AI and automation roadmaps aligned with business objectives and digital transformation initiatives
Establish a clear roadmap for automation capabilities including RPA, intelligent document processing, machine learning, generative AI, and workflow automation.
Partner with senior executives to evangelize AI capabilities, guide investment decisions, and promote responsible AI adoption.
Collaborate with business leaders to identify opportunities where automation and AI can improve efficiency, reduce manual effort, improve accuracy, and enhance customer experience.
Conduct ROI assessments, business case development, value tracking, and continuous improvement evaluations.
Help with evaluation, selection, and integration of AI platforms, tools, and technologies.
Oversee the end-to-end design, development, testing, and deployment of automation solutions leveraging: RPA tools (e.g., UiPath, Automation Anywhere, Blue Prism, Salesforce) AI/ML platforms and cloud-based AI services (Azure, AWS, Google, etc.) LLM-based automation and generative AI capabilities Integration with core payer platforms (e.g., Facets, TruCare) Drive a culture of innovation, continuous improvement, and AI literacy throughout the organization
Build and lead a high-performing team of automation engineers, AI specialists, data scientists, and business analysts.
Foster a culture of innovation, experimentation, and continuous learning.
Partner closely with Enterprise Architecture, Data & Analytics, Cybersecurity, and Agile product teams to ensure cohesive delivery.
Partner with AI Governance council to establish and maintain governance frameworks, best practices, and ethical guidelines for responsible AI development and deployment, ensuring transparency, fairness, and regulatory alignment.

Requirements

Minimum 7 years of experience in IT with at least 3 years leading automation or AI initiatives.
Deep knowledge of: Automation technologies (RPA, workflow automation, intelligent document processing)
AI/ML solutions (machine learning, NLP, LLMs, predictive analytics)
API integration and modern cloud services (Azure highly preferred)
Core payer systems and processes (Facets, claims, enrollment, provider data, care management)
Proven track record of delivering high-impact automation programs and measurable ROI.
Strong understanding of healthcare payer regulatory environment (HIPAA, CMS).
Exceptional communication and storytelling abilities to translate technical concepts to senior leadership, operations teams, and non-technical stakeholders.
Experience managing cross-functional teams and collaborating with executive stakeholders.
Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field; advanced degree preferred.

Benefits

Medical, Dental & Vision coverage
Retirement Plan
generous time off including Paid Time Off
Holidays
Volunteer time off
Incentive Plan
Tuition Reimbursement
more

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

RPAmachine learninggenerative AIworkflow automationintelligent document processingAPI integrationpredictive analyticsNLPcloud servicesautomation program delivery

Soft Skills

communicationstorytellingcollaborationleadershipinnovationcontinuous improvementteam managementcross-functional collaborationstakeholder engagementAI literacy

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Information SystemsBachelor's degree in EngineeringBachelor's degree in Data Scienceadvanced degree preferred