Key Responsibilities 

• 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. 

AI-Enabled Delivery 

• 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. 

Systems & Integration 

• 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. 

Data, Testing & Quality 

• 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. 

Release, Vendor & Cross-Functional Leadership 

• 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 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 that do not report to the role. 

PMO Partnership 

• Partner with the Senior Enterprise Project Manager to strengthen technical governance and delivery standards across the PMO. 

• Maintain high-quality artifacts: 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 prioritization and capacity planning across the enterprise technology portfolio. 

Qualifications 

Must-haves:  Leading and managing technical teams, Salesforce delivery experience, and data warehouse or data lake experience. 

Required 

• Leading and managing technical teams (architects, engineers, developers, 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. 

• 5 or more 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 across architects, engineers, vendors, business leaders, and executives, with the ability to challenge assumptions and drive complex problems to resolution. 

• Bachelors degree or an equivalent combination of education and relevant professional experience. 

Preferred 

• Hands-on use of generative AI tools and agents to accelerate project delivery. We are intentionally building toward AI-native ways of working, and demonstrated practical experience here is a strong differentiator. 

• Based in the North Texas / Dallas area. 

• Experience with Salesforce Education Cloud, or within 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, or role-based access; cloud-based enterprise technologies and 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 a plus.