The Learning Technology and Data Specialist is a hands on role that powers our learning ecosystem, connecting the LMS to the broader tech stack, automating data flows, and turning learning data into clear insights. You’ll partner closely with our LMS Administrator, Kayla Bella, and Instructional Designer, Andria Owens, to ensure a seamless learner experience and trustworthy reporting for a global audience. This role is instrumental to our upcoming launch timeline and ongoing scale.
What You’ll Do (Core Responsibilities)
1. Integrations and Architecture
Own day to day configuration, maintenance, and monitoring of LMS integrations such as HRIS, CRM, SSO, IdP, proctoring, assessment, and content libraries.
Build and maintain API based connections and data syncs, create technical runbooks and incident response guides.
Partner with IT and Security on authentication and authorization, SAML, OIDC, OAuth, SCIM provisioning, and governance.
2. Data, Reporting, and Insights
Design robust data models and pipelines from the LMS to analytics such as Power BI or Tableau, ensuring accuracy and freshness of KPIs.
Develop executive and operational dashboards, including adoption, completion, time to competency, NPS, CSAT, cohort performance, and certification readiness.
Establish data quality rules, reconciliation checks, and documentation for audit and compliance.
3. Automation and Operations
Automate high volume workflows such as user provisioning, enrollments, tagging, certificate issuance, and crediting using RPA, no code tools, or scripts.
Manage release testing and change control, including sandbox validation, UAT coordination, and phased rollouts.
Maintain a transparent backlog and sprint board in Microsoft Planner, and track SLAs for incidents and requests.
4. Vendor and Stakeholder Collaboration
Serve as a technical point of contact with LMS and key vendors such as Honorlock and others, escalating and resolving integration issues.
Translate business requirements from Learning, GTM, and leadership into scalable technical solutions.
Provide enablement for admins and content teams via SOPs, job aids, and quick reference guides.
Near Term Outcomes and Success Metrics
By 30 days
Inventory all current and planned integrations, document data dictionaries and flow diagrams.
Stand up an issue and runbook library, and define SLAs and severity levels.
By 60 days
Deliver version one executive dashboard covering adoption, completion, and compliance KPIs.
Implement automated user provisioning and enrollment rules for at least one priority audience.
By 90 days
Achieve 99.9 percent integration uptime for core systems, and reduce manual admin workload by 25 percent through automation.
Publish data quality scorecards, including accuracy, completeness, and timeliness, and implement remediation playbooks.
Ongoing KPIs
Integration uptime and mean time to recovery.
Data accuracy and reconciliation error rate.
Dashboard adoption, including monthly active viewers and decision use cases.
Hours saved through automation, baseline versus current.
SLA adherence for incidents and requests.
