Director of Residency Systems Engineering & Data Analytics

Academy For Urban School Leadership (AUSL)•Chicago, IL

2h•$101,000 - $127,000•Hybrid

About The Position

The Director of Residency Systems Engineering & Data Analytics owns the technical architecture, data infrastructure, and analytical engine of the AUSL residency program. Reporting to the Vice President of Strategic Operations, the role connects systems and data engineering—including AI-assisted development, database administration, and API integration—with strategic data analysis and program operations. It translates complex metrics into predictive trends, actionable conclusions, and seamless experiences for residents, mentors, university partners, and staff. The position requires approximately two days per week on-site/on-campus in Chicago or Lake County, with additional on-site support of up to five days per week during major programmatic events. The Director maintains the Residency Dashboard and data systems; leads residency data lifecycle management, analytics, and compliance; develops predictive monitoring and intervention systems; and supports residency operations, including evaluation cycles, onboarding, mentor selection, and resident matching.

Requirements

Bachelor’s degree required.
5–7+ years of progressive experience in program operations, data management, systems administration, or educational technology.
Experience in higher education, nonprofit management, teacher preparation, or complex multi-stakeholder organizations.
Experience using AI coding tools and related technologies—such as LLM prompt engineering, Anthropic Claude/AWS Bedrock, GitHub Copilot, Cursor, Python, APIs, or SQL—to independently maintain, debug, and enhance custom web applications and dashboards.
Hands-on experience administering higher education CRMs or database systems, such as Slate, Salesforce, or internal data repositories.
Experience managing full data lifecycles, including survey administration, data validation and cleanup, and visualization using tools such as Excel/Google Sheets, SQL, Power BI, or Tableau.
Ability to manage external software developers, establish technical specifications, and manage vendor service-level agreements.
Ability to design and manage complex operational workflows, such as matching or selection algorithms, status-change tracking, tiered intervention monitoring, evaluation cycles, and host visit coordination.
Strong technical ingenuity, resourcefulness, and ability to build, automate, and solve problems within nonprofit resource constraints.
Adaptability in an evolving environment with shifting priorities and flexibility to take on new projects and duties.
Ability to translate complex data sets into actionable, data-driven programmatic interventions.
Strong interpersonal skills to coordinate across technology vendors, university partners, admissions teams, and senior leadership.
High attention to detail, commitment to data accuracy, and discretion when handling confidential records.
Willingness and ability to work on-campus/in person approximately two days per week in Chicago or Lake County and build relationships with cross-functional teams, site directors, and coaches.

Nice To Haves

Master’s degree in Data Analytics, Information Systems, Educational Leadership, or Public Administration.

Responsibilities

Own the day-to-day maintenance, troubleshooting, and continuous improvement of AUSL’s internal proprietary Residency Dashboard, using AI-assisted development tools and prompt engineering to write code, fix routine bugs, and deploy minor feature updates.
Serve as the primary technical liaison for external software developers, managing scope, specifications, and deliverables for major architectural changes or platform overhauls.
Maintain and optimize residency, alumni, mentor, and partner data infrastructure in the internal Residency Data Repository and Slate.
Coordinate account provisioning for staff, residents, mentors, and school partners, and deactivate accounts when people exit the program.
Administer AUSL’s USDOL Registered Apprenticeship Providers Information Database System (RAPIDS), including user access, data integrity, and pipeline integrations with the internal Residency Data Repository.
Own the end-to-end residency data lifecycle, systems, and measurement structures; design, implement, and maintain the annual measurement calendar for surveys, performance reviews, and retention metrics.
Manage data administration and tracking of resident movements and status changes, including site or mentor reassignments, program exits, and resignations.
Lead administration of Benchmarking, Student Insight Surveys (Tripod), and annual Alumni surveys, and validate collected data for integrity.
Prepare regular, proactive status and progress reports for leadership to support data-informed decisions.
Oversee federal and state compliance, reporting, and audit readiness for USDOL Registered Apprenticeship and WIOA funding programs, including maintaining AUSL’s status on local Eligible Training Provider Lists (ETPL).
Design and manage tracking for On-the-Job Learning (OJL) and Related Instruction (RI) milestones; analyze wage progression schedules and work with district HR leadership to secure timely approvals in alignment with USDOL standards.
Analyze resident and mentor performance data to identify trends and flag at-risk residents early.
Work with program leadership to recommend data-driven interventions and design monitoring and measurement for Tier 1 universal support, Tier 2 targeted intervention, and Tier 3 intensive remediation.
Lead the design and operational management of program operations within the Residency Dashboard, including Lead Teach cycles, Benchmarking evaluations, Student Teaching and other District Onboarding requirements, Host Visits, and Professional Development programming.
Work with program leadership to use historical performance metrics in mentor and site health evaluations, informing mentor selection, site placement, and retention models.
Execute initial resident-mentor matching workflows.
Carry out other programmatic duties, cross-functional projects, and operational tasks as assigned.