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Dallas College

Assistant Vice Chancellor, Enterprise Data Architecture and Reporting

Dallas College Administration

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hirly's read of this role

Seniority
Mid level
Stated salary
$158,878 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
3 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Applications must be submitted no later than 11:59 p.m. CT on the day before the listed closing date.

Weekly Work Hours

40

Compensation Range

Administrator Range E11

Salary Minimum

$158,878.00 Annually

FLSA

  • United States of America (Exempt)
  • Work Location
  • All positions are considered on-site roles.
  • After six months of employment, some positions may be eligible to apply for a hybrid work arrangement based on job responsibilities, operational needs, supervisor approval, and Dallas College policy.
  • Academic (Faculty) positions require an on-campus presence, even when teaching online courses, in accordance with state law.

Position Type

Administrator

Why the Role Matters

The Assistant Vice Chancellor, Enterprise Data Architecture and Reporting serves as a key strategic leader responsible for ensuring that Dallas College's data is accurate, secure, governed, and accessible for informed decision-making. This role helps build and maintain the enterprise-wide data infrastructure that enables leaders, faculty, and staff to make data-driven decisions that support student success, operational excellence, and institutional accountability. The position also ensures the integrity of critical state, federal, and accreditation reporting that directly impacts the College's compliance and reputation.

The Impact of the Position

The impact of this role extends across the entire institution. By leading data warehousing, governance, reporting, and data quality initiatives, the Assistant Vice Chancellor helps transform data into trusted insights that guide strategic planning and resource allocation. The position establishes the standards, systems, and processes that support enterprise reporting, advances responsible use of AI and automation, and strengthens the College's ability to measure outcomes and drive continuous improvement. Success in this role will enhance institutional effectiveness and support Dallas College's mission to serve students and the community.

Why You Should Be Excited About the Opportunity

This is a unique opportunity to shape the future of enterprise data strategy at one of the largest community college systems in Texas. The successful candidate will have the chance to build a modern, enterprise-wide decision engine, lead transformational initiatives involving data governance and AI, and influence strategic decisions at the highest levels of the institution. The role offers the ability to combine technical expertise, executive leadership, innovation, and organizational change management while making a measurable impact on student outcomes and institutional success.

Position / Job Summary

The Assistant Vice Chancellor, Enterprise Data Architecture and Reporting is an enterprise leadership role responsible for ensuring Dallas College data are reliable, secure, well governed, and ready for institutional decision-making and accountability. Reporting to the Senior Associate Vice Chancellor, Strategic Research, Analytics & Effectiveness, the Assistant Vice Chancellor provides strategic and operational leadership for data warehousing, data governance, and official reporting functions. This position establishes the architecture, standards, controls, and service models that move data from source systems into trusted institutional data products; ensures timely and accurate state, federal, accreditation, and other official submissions; and advances shared definitions, stewardship, and data quality across the College. The Assistant Vice Chancellor leads technical and reporting professionals, partners closely with Information Technology and functional leaders, and remains sufficiently hands-on to guide data modeling, code review, troubleshooting, and modernization. The ideal candidate combines deep higher education reporting experience, strong technical and coding expertise, responsible use of AI and automation, and demonstrated success leading people and organizational change.

Essential Duties & Responsibilities

  • Develop and execute an enterprise strategy and multi-year roadmap for data warehousing, governance, data quality, and official reporting aligned with Dallas College priorities.
  • Establish operating standards, service expectations, performance measures, and decision rights across data warehousing, governance, and official reporting functions.
  • Oversee the architecture, development, integration, performance, and reliability of the enterprise data warehouse and related pipelines.
  • Ensure data ingestion, transformation, modeling, testing, documentation, monitoring, and release processes produce accurate, timely, scalable, and reusable data assets.
  • Lead the College’s data governance framework, stewardship network, policies, standards, and processes in partnership with functional data owners and Information Technology.
  • Implement data-quality rules, scorecards, exception monitoring, source-system reconciliation, issue escalation, and remediation processes that make quality measurable and accountable.
  • Provide executive oversight for state, federal, accreditation, and other official reporting, including calendars, assignments, validation, approvals, certifications, corrections, and final submission.
  • Develop a responsible AI and automation roadmap to improve accuracy, speed, documentation, testing, monitoring, and staff capacity while maintaining human validation.
  • Lead, organize, coach, and evaluate leaders and staff across data warehousing, governance, and official reporting; set clear goals, roles, performance expectations, and development plans.
  • Ensure access, handling, retention, and sharing practices comply with institutional policy, FERPA, privacy requirements, cybersecurity standards, and least-privilege principles.

Minimum and Preferred – Education, Experience, and/or Certifications

Required Qualifications for Role

  • Master’s degree in information systems, computer science, data engineering, data science, analytics, institutional research, higher education administration, or a related field.
  • Eight (8) years of progressively responsible experience in data warehousing, data engineering, data governance, institutional research, analytics, or official reporting, including substantial experience in a higher education environment.
  • Five (5) years of experience leading and developing teams, including managers and/or multidisciplinary technical and reporting professionals.
  • Direct experience producing or overseeing state and federal higher education reports, with responsibility for validation, reconciliation, certification, corrections, and audit support; Texas higher education reporting experience preferred.
  • Proficiency in SQL and demonstrated proficiency in Python or another relevant programming language, with experience using modern data platforms and ETL/ELT technologies.
  • Demonstrated experience implementing data governance, metadata, lineage, stewardship, and enterprise data-quality practices.
  • Demonstrated experience using AI and automation responsibly to improve data engineering, reporting, documentation, validation, or operational processes.
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively and influence decisions across diverse technical, operational, and executive groups.

Preferred Qualifications for Role

  • Doctorate degree in a related field preferred.
  • Official transcripts required.

Knowledge, Skills, and Abilities

  • Comprehensive knowledge of higher education data, business processes, accountability, and official reporting requirements, with an understanding of the mission and operating environment of community colleges.
  • Demonstrated knowledge of state and federal higher education reporting, including submission requirements, data definitions, edit checks, certifications, corrections, reconciliations, and audit documentation.
  • Expertise in enterprise data warehouse and architecture, dimensional and relational data modeling, data integration, m
Original posting on Dallas College's site ↗

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