Technical Project Manager

OU Education Services•Norman, TX

19d•$85,000 - $97,000

About The Position

OU Education Services is seeking a Technical Project Manager to lead complex enterprise technology initiatives across its online education ecosystem, including CRM implementation, system integrations, data platforms and lakes, migration, automation, and AI solutions. This hands-on role combines technical fluency with disciplined project leadership. The project manager works with architects, engineers, administrators, analysts, vendors, and business leaders to understand system architecture, dependencies, data flows, environments, and testing strategies, then turns that complexity into clear plans and business outcomes. The role drives initiatives from solution design through production and stabilization, partners with OU IT on its technical roadmap, and leads CRM readiness and data platform workstreams. OUES is moving toward AI-native operations and values practical use of generative AI tools and agents to accelerate delivery and remove blockers. The role applies AI to project artifacts, risk and dependency discovery, and team enablement, while validating outputs and supporting responsible, well-governed practices. Applicants must reside in Texas, Oklahoma, Florida, Colorado, or Arizona. The preferred location is the North Texas / Dallas area. The listed salary range is $85,000–$97,000 per year.

Requirements

Experience leading and managing technical teams, including architects, engineers, developers, and administrators, through complex delivery.
Direct Salesforce experience delivering implementations, configuration, or integrations on the platform.
Data warehouse or data lake experience, including data migration, mapping, validation, and reconciliation.
At least 5 years of technical project management or enterprise delivery experience, with significant responsibility for enterprise systems, integrations, or software implementations.
Strong working knowledge of enterprise application architecture and systems integration concepts, including REST APIs, JSON or XML payloads, authentication, interfaces, and error handling.
Strong communication skills across technical teams, vendors, business leaders, and executives, including the ability to challenge assumptions and drive complex problems to resolution.
Bachelor's degree or an equivalent combination of education and relevant professional experience.
Must reside in Texas, Oklahoma, Florida, Colorado, or Arizona.

Nice To Haves

Hands-on experience using generative AI tools and agents to accelerate project delivery.
Based in the North Texas / Dallas area.
Experience with Salesforce Education Cloud or in higher education, online education, or a university environment.
Experience with student information systems, ERP, contact center platforms, marketing automation, or enterprise AI solutions.
Experience managing third-party systems integrators or implementation partners.
Experience with identity management, SSO, role-based access, cloud-based enterprise technologies, or modern SaaS architectures.
Experience with Jira, Confluence, Smartsheet, or Azure DevOps.
PMP, PMI-ACP, Certified ScrumMaster, SAFe, or comparable certification; Salesforce, cloud, or data certifications are also a plus.

Responsibilities

Lead enterprise technology initiatives from discovery and solution design through development, testing, deployment, and stabilization.
Build integrated delivery plans connecting architecture, business requirements, integrations, data, configuration, testing, security, vendor dependencies, and deployment.
Partner with architects and system owners on solution design and connect technical decisions to scope, sequencing, dependencies, and business impact.
Track the technical critical path; surface risks involving scope, architecture, data integrity, security, performance, or timelines; document decisions and drive open questions to resolution.
Use generative AI tools and agents to create and refine project artifacts, identify risks and dependencies, and help unblock technical teams, applying judgment to validate outputs.
Help establish practical, responsible, and well-governed AI practices.
Lead integrations involving enterprise applications, CRM, student systems, data platforms, communications 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; trace workflows across platforms and establish ownership for issues across systems, middleware, and vendors.
Partner with business, data, and technical teams on functional and technical requirements, maintaining traceability through testing and delivery.
Lead data migration and conversion, including mapping, cleansing, validation, reconciliation, exception management, and cutover planning.
Develop and manage integration, user acceptance, regression, and data-validation testing strategies; establish defect severity, ownership, and acceptance criteria, and make critical defects and limitations visible before go-live.
Use SQL, logs, reports, and API outputs to validate issues and support problem-solving.
Develop implementation and cutover plans across configuration, development, integrations, migration, testing, access, deployment, and operational readiness in development, test, staging, sandbox, and production environments.
Lead go-live readiness reviews, ensure rollback and contingency plans and support coverage are in place, and manage post-launch stabilization and transition to support.
Lead technical delivery across vendors, implementation partners, and systems integrators; evaluate plans and deliverables, challenge unclear responses, and track commitments.
Serve as the primary delivery owner across Operations, IT, architecture, data and analytics, vendors, and university stakeholders; translate between technical and business audiences and drive accountability across teams.
Partner with the Senior Enterprise Project Manager to strengthen technical governance and PMO delivery standards.
Maintain integrated plans, dependency maps, RAID and decision logs, requirements, test plans, cutover plans, and status reporting.
Provide visibility into technical complexity, delivery risk, and upcoming demand to support portfolio prioritization and capacity planning.