Data Management Leader & Scrum Master

The Manager of Data Management is responsible for leading the day-to-day delivery and operational execution of the University's enterprise data initiatives. Reporting to the Director of Data Management, this role manages a team of data engineers, analysts, developers and database administrators, while serving as Scrum Master to ensure agile delivery of data products and platform capabilities.

This position translates enterprise data strategy into actionable roadmaps, manages the team backlog, facilitates agile ceremonies, and ensures high-quality, secure, and scalable data solutions that support analytics, integration, and institutional decision-making.

The Manager partners closely with data governance, analytics, infrastructure, and campus stakeholders to ensure that data solutions align with institutional priorities and comply with governance and security standards.

Essential Functions:

Team Leadership & Development

* Provide direct supervision and mentorship to data engineers and developers.

* Support career development and skill growth aligned with modern data practices.

* Encourage collaboration, accountability, and agile best practices.

* Assist in hiring, onboarding, and performance management processes.

Agile Delivery & Scrum Leadership

* Serve as Scrum Master for the data management team, facilitating sprint planning, daily stand-ups, retrospectives, and backlog refinement.

* Partner with the Director to translate strategic priorities into deliverable work items and sprint goals.

* Remove blockers and ensure smooth workflow across the team.

* Track delivery metrics and team performance using agile practices.

* Promote continuous improvement and agile maturity within the team.

Platform Operations & Optimization

* Oversee day-to-day health of data platforms, pipelines, and tools.

* Monitor performance and recommend improvements in collaboration with architecture leadership.

* Coordinate with support, organizing bug fixes and incidents for engineers and admins

* Coordinate with Infrastructure & Operations for platform stability and recovery readiness.

Data Platform & Pipeline Delivery

* Lead the implementation of data pipelines, integrations, and platform capabilities.

* Coordinate development of ETL/ELT workflows supporting analytics and operational systems.

* Working with architect, align with enterprise data architecture and governance standards.

* Support deployment, testing, and release management processes.

Data Integration & API Execution

* Manage development and maintenance of system integrations and API implementations.

* Maintain alignment with the University API catalog and integration strategy.

* Ensure data consistency and alignment with governance definitions and business rules.

Data Quality & Operational Governance

* Operationalize data governance standards through implementation practices.

* Monitor data quality processes including validation, cleansing, and monitoring.

* Ensure access provisioning aligns with approved governance workflows.

* Support audit readiness and compliance activities.

Data Governance Implementation:

* Standard Operating Procedure Development:
Collaborate with the University's Analytics and Institutional Reporting (AIR) unit and other applicable groups, to develop and implement data governance policies and procedures that ensure data quality, compliance, and security.

* Compliance Monitoring:
Monitor compliance with data governance policies and regulatory requirements, addressing any issues or gaps as needed.

Platform Management:

* Platform Selection:
Evaluate and select data management platforms that meet the organization's needs for scalability, performance, and cost-effectiveness.

* Platform Optimization:
Continuously optimize data management platforms to ensure they support evolving business requirements and technological advancements.

* Vendor Management:
Manage relationships with platform vendors and service providers, ensuring they deliver high-quality products and services.

Team Leadership:

* Team Development:
Build and lead a high-performing team of data professionals, providing mentorship, training, and career development opportunities.

* Collaboration:

Foster a collaborative…