Technical Project Manager

Only applicants residing in TX, OK, FL, CO, or AZ will be considered.

OU Education Services is seeking a Technical Project Manager, Enterprise Systems & Integrations to lead delivery of complex enterprise technology initiatives across our growing online education ecosystem, spanning CRM implementation, system integrations, data lake and data platforms, migration, automation, and AI solutions.

This is a hands-on role that works deeply across both the technical and operational sides of delivery. The successful candidate pairs strong technical fluency with disciplined project leadership: they understand system architecture, integration dependencies, data flows, environments, and testing strategy, and translate that complexity into clear execution plans and business outcomes. They engage directly with architects, engineers, administrators, analysts, vendors, and business leaders, ask technically informed questions, identify gaps and dependencies, and drive initiatives from solution design through production and stabilization.

The role partners closely with OU IT on their technical roadmap and leads our CRM readiness and data platform work streams.

We also work in an AI-forward way. OUES is intentionally moving toward AI-native operations, and we are looking for a project manager who already uses generative AI tools and agents to accelerate delivery and remove blockers. This is a strong plus and a differentiator for this role.

$85,000 - $97,000 a year

• Lead complex enterprise technology initiatives from discovery and solution design through development, testing, deployment, and stabilization.
• Build integrated delivery plans that connect architecture, business requirements, integrations, data, configuration, testing, security, vendor dependencies, and deployment.
• Partner with architects and system owners through solution design, connecting technical decisions to scope, sequencing, dependencies, and business impact.
• Maintain command of the technical critical path, surfacing risks to scope, architecture, data integrity, security, performance, or timeline early. Document decisions, assumptions, dependencies, and open questions, and drive them to resolution.
• Use generative AI tools and agents to draft and refine project artifacts (plans, requirements, test scenarios, status reporting, communications) and compress work that traditionally takes hours, applying judgment to validate the output.
• Apply AI to surface risks, dependencies, and data issues earlier, and to keep technical teams and builders unblocked.
• Help establish practical, responsible, well-governed AI ways of working as OUES moves toward AI-native operations, staying current and bringing new approaches to the team.
• Lead initiatives integrating enterprise applications, CRM, student systems, data platforms, communication tools, and third-party SaaS.
• Manage dependencies across REST APIs, web services, authentication, middleware, file-based and real-time integrations, and scheduled processes.
• Review integration requirements, interface specifications, and data mappings with technical teams, tracing workflows across platforms to find failure points and establish clear ownership across upstream systems, downstream systems, middleware, and vendors.
• Partner with business, data, and technical teams on functional and technical requirements, maintaining traceability from requirements through testing and delivery.
• Lead data migration and conversion: mapping, cleansing, validation, reconciliation, exception management, and cutover planning.
• Develop and manage testing strategies across system integration testing, user acceptance testing, regression, and data validation, with clear defect severity, ownership, and acceptance. Ensure critical defects and known limitations are visible before go-live.
• Use SQL, logs, reports, and API outputs to validate issues and support problem-solving.
• Develop implementation and cutover plans coordinating configuration, development, integrations, data migration, testing, access, deployment, and operational readiness across development, test, staging, sandbox, and production environments.
• Lead go-live readiness reviews and ensure rollback strategies, contingency plans, and support coverage are in place; manage post-launch stabilization and transition to support.
• Lead technical delivery across vendors, implementation partners, and systems integrators, evaluating their plans and deliverables, challenging unclear responses, and tracking delivery against…