Director, Data Analytics & AI

 

Are you looking for a high energy, strategic, and fast-paced position as a Director, Data Analytics & AI?  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.

WHAT CAN RELIAS OFFER YOU?

• 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!
  • 20%+ annual employee promotion and transfer rate
  • Multiple development program options – leadership development, professional development curriculums, and Nanodegree options in both technology and data science
  • Professional development gained from conference attendance and participation in organizations like NC Tech
  • Onsite 321 Coffee Shop providing free coffee and pastries to employees

 

We are seeking an innovative and strategic Director, Data Analytics & AI to lead four core teams within the Data & Generative AI department: Data Engineering, Business Intelligence, Data Science and Data Governance driving enterprise-wide product-related data, analytics, and AI strategy, governance, and execution. This leader will architect and execute the vision for Relias’s enterprise product data ecosystem, with focus on customer-facing reporting through PowerBI Embedded, and AI products leveraging large language models and other machine learning techniques. The Director, Data Analytics & AI will collaborate closely across engineering, product, information security, and other various business functions. The ideal candidate combines strong technical depth with proven experience managing multidisciplinary teams, delivering scalable systems, driving measurable business outcomes, and delivering AI-powered products or features in production settings

WHAT YOU’LL BE DOING:

•    Organizational Leadership and People Development: Lead, mentor, and develop managers and team members across Data Engineering, Business Intelligence, Data Governance, and Data Science. Foster a culture of excellence, ownership, and collaboration. Provide strategic direction, coaching, and performance management that enable teams to achieve ambitious goals.
•    Data & AI Strategy and Portfolio Management: Define and execute the cross-functional strategy for analytics and AI initiatives for Relias products,  support internal AI automation, and customer-facing AI features. Prioritize, scope, and oversee a portfolio of projects that support customer-facing insights, and AI-driven experiences. Partner with product and engineering leaders to align capabilities and roadmaps with business priorities.
•    Technical Governance of Data, Analytics, and AI Platforms: Own architectural standards and oversee the design and delivery of scalable data pipelines, semantic models, reporting assets, and AI/ML systems. Ensure high-quality development practices for PowerBI Embedded reporting, internal PowerBI dashboards, LLM-based applications, recommendation systems, and productivity-oriented AI solutions including data quality frameworks, metadata management, access governance, and model governance
•    Execution Excellence in Data Engineering, BI, and Data Science: Drive consistently high execution quality across teams, ensuring timely and reliable delivery of data models, reports, ML models, and AI products. Promote best practices in coding, documentation, observability, and model lifecycle management. Maintain alignment with security, compliance, and governance requirements.
•    Cross-Functional Communication and Knowledge Sharing: Build strong partnerships across the organization. Translate technical topi