Director, Learning Data & AI Insights

Benefits

• Fantastic health and wellness benefits package, including outstanding 401k match, flexible PTO program, generous inclusive parental leave policy, and employee portion of monthly healthcare premium.
• Flexible work environment with onsite and work from home options – 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.

Relias changes lives throughout the world by helping healthcare organizations improve their clinical and financial outcomes. We help 11,000+ health care and human service organizations deliver better clinical and financial outcomes by elevating the performance of teams, 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.

• Operationalize real‑time learner modeling: standardize and analyze data across assessments, skills frameworks, and learner tools to build dynamic learner profiles; define and instrument behavioral data to capture implicit learning signals beyond completion metrics.
• Map content to competencies and outcomes: lead creation of an adaptive content graph linking assessments, skills, and objectives to tagged metadata and taxonomies; partner with instructional design teams to enable outcome‑driven personalization rules and models.
• Enable adaptive recommendation engines: collaborate with data scientists and engineers to design and tune AI‑powered personalization models; deploy services that deliver real‑time learning recommendations within platforms and monitor impact on learner outcomes.
• Support explainability and efficacy in AI recommendations: build dashboards for instructional and clinical review of AI‑driven recommendations; establish QA and fairness audit processes to ensure recommendations are aligned with learning goals and equitable across learner groups.
• Drive process excellence and cross‑functional execution: lead a specialized Content Process Management team to redesign workflows for AI‑assisted creation; serve as primary bridge with Engineering and Quickbase admins to align infrastructure and metadata standards with AI needs.
• Advanced analytics & insight generation: conduct complex data analysis to surface learning‑effectiveness insights, content gaps, and performance trends; automate reporting and provide actionable recommendations to improve personalization maturity.

• 8+ years in educational technology data strategy with an emphasis in systemized personalized learning analytics.
• 3+ years collaborating with AI/ML product teams on personalization or adaptive learning.
• Proven track record in translating learning goals into data and product requirements.
• Strong communicator able to translate between Content Development, Platform Development, Engineering and Data & GenAI teams.
• Deep knowledge of learning data models (xAPI, cmi5, SCORM) and metadata design.
• Familiarity with AI capabilities in education (LLMs, recommenders, adaptive engines).
• Competence in analytics platforms (e.g., Power BI, Tableau, Looker) and defining KPIs.
• Skilled at designing taxonomies, instrumentation strategies, and QA review processes.
• Ability to lead cultural adoption of AI‑first approaches across diverse stakeholders.
• Bachelor’s Degree or equivalent experience.

• 10+ years in leadership roles.
• Advanced degree or similar worked experience in Learning Sciences, Data Strategy, or related field.
• Experience leading change…