Manager, AI and Automation

Overview

Are you looking for a high energy, strategic, and fast-paced position as a Manager, AI and Automation? Join Relias, the company changing lives throughout the world by helping healthcare organizations improve their clinical and financial outcomes!

For 11,000+ health care and human service organizations, Relias helps clients deliver better clinical and financial outcomes by elevating the performance of teams. We help organizations across the continuum of care get better at maintaining compliance, developing staff and promoting consistent, high-quality care. Our platform employs assessments to reveal specific gaps in skills and addresses them with personalized and engaging learning, choosing from 7,000+ online courses that meet accrediting board, state and federal requirements.

We are passionate about our products and our clients; what we deliver and the impact we have on the world is truly something you can be proud to represent. Join us and make a difference.

• Fantastic health and wellness benefits package, including an outstanding 401k match, a flexible PTO program, and a generous and inclusive parental leave policy. Additionally, Relias pays for the employee portion of the monthly healthcare premium!
• Flexible work environment with onsite and work from home options – you choose when you want to come into the office!
• Active Employee Resource Groups open to all employees!
• Comprehensive onboarding program – a great introduction to our company, customers and culture!
• Growth and career advancement opportunities

The Manager, AI and Automation is responsible for building and operating the center of expertise for AI-enabled workflow automation. This role partners with IT/business leaders (Enterprise Applications, Revenue Technology, IT Infrastructure), Information Security, Legal, and other functional leaders/stakeholders to identify, design, build, deploy, and continuously improve practical automation and AI solutions across Relias.

This position is a player/coach role and is expected to execute the standup of the CoE. The role will personally ensure delivery of AI and automation projects using approved enterprise tools, translate business problems into clear requirements and future-state workflows, configure or coordinate solutions as necessary, oversee testing and adoption, monitor usage and associated cost aspects of the models, and measure realized value as established at the beginning of projects.

The role will establish a disciplined intake process, prioritization model, implementation standards, reusable templates, documentation practices, governance checkpoints, and support expectations for automation work.

As the shared-service capability matures, this position is expected to build and manage a team of individual contributors, which may include workflow automation developers, business process analysts, and potentially AI and data engineers. The role will balance hands-on delivery with portfolio ownership, people leadership, stakeholder enablement, standards management, and scalable operating practices so AI and automation work is useful, secure, supportable, and measurable.

• AI and Automation Shared-Service Product Ownership
  Own the enterprise AI and automation intake process, backlog, prioritization model, and roadmap. Evaluate opportunities based on business value, feasibility, urgency, risk, data sensitivity, systems impacted, stakeholder readiness, and supportability. Translate business needs into clear requirements, future-state workflows, success metrics, and delivery plans.
• Hands-On Automation Development and Workflow Configuration
  Design, configure, test, deploy, and maintain workflow automations using approved tools such as Microsoft 365, Power Automate, Power Apps, Copilot, Copilot Studio, SharePoint, Dataverse, Power BI, Salesforce workflow capabilities, APIs, RPA/workflow platforms, and related enterprise technologies. Build solutions directly where appropriate and coordinate with Enterprise Applications, Revenue Technology, IT, and Interface Engineering when deeper platform, integration, or architecture work is required.
• AI Use Case…