Enterprise Data Architect Lead

Enterprise Data Architect Lead New Mexico State University - 4.3 Las Cruces, NM Job Details Full-time $67,161.67 - $87,310.17 a year 1 hour ago Qualifications Data model design 7 years Data Integration (Data management) Management Business intelligence Data modeling projects Research Master's degree Data Architecture Design (Architecture design skills) Requirements analysis Business requirements Senior level Associate's degree Project leadership Analytics Full Job Description 503452 Las Cruces, New Mexico, United States Staff Staff Full-time Closing at: May 1 2026 - 23:55

MDT Department Contact:

Lori Montoya, 575-646-6013,

Internal or External Search:

External - Open to all applicants

Advertising Summary:

Step into a high‑impact role where your expertise shapes the strategic direction of an entire university. NMSU is seeking a forward‑thinking data and analytics leader to transform institutional and external data into powerful business intelligence that fuels smarter decisions across campus. In this role, you'll partner with senior leadership, collaborate with technical teams, and architect the data models and infrastructure that elevate analytics university‑wide.

Position Details Position Title:

Enterprise Data Architect Lead College/Division:

Information Technology Department:

450474-IT

ANALYTICS AND DECISION SUPPORT

Location:

Las Cruces Offsite Location (if applicable):

Target Hourly/Salary Rate:

67,161.67-87,310.17

Appointment Full-time Equivalency:

1.0

FLSA Status :

Exempt Bargaining Unit Announcement:

This is NOT a bargaining unit position with American Federation of State, County & Municipal Employees (AFSCME).

Contingent Upon Funding:

Not Applicable Standard Work Schedule:

Standard (M-F, 8-5) If Not a

Standard Work Schedule:

Job Duties and Responsibilities:

In partnership with functional stakeholders, develop business intelligence solutions sourced from institutional and external data to meet the needs of university leadership and stakeholders. Collaborate with decision makers and other technical teams to implement data architecture and models to advance analytics at NMSU. Collect business requirements from subject matter experts and research sources of data to identify limitations and/or make recommendations to enhance data collection for purpose of enhanced analytics and decision making opportunities. Adhering to data management, data standards and industry-accepted architecture principles and best practices, develop extract, transform and load (ETL) processes to create datamarts from ancillary systems and external sources. Ensure adherence to industry-accepted architecture principles. Design datasets and data models for the enterprise across all business functions of the university for use in self-service analytics. Coordinates new data development with key stakeholders ensuring consistency and integration with existing warehouse structure. Supervise junior technical staff. Lead and execute data projects delivering on time and as expected.

Qualifications Required Education and Experience:

Associate's Degree + 9 years of relevant experience or a Bachelor's degree + 7 years of relevant experience. Master's degree or higher preferred.

Equivalent Qualifications:

Preferred Qualifications:

Special Certification/Licensure:

•Must be authorized to work in the United States. Visa sponsorship is not available for this position.•Individuals who have completed college or university course work at an institution in a country other than the United States must obtain a complete evaluation of foreign transcripts, degrees, and the translation of other relevant employment documents prior to being offered employment at New Mexico State University. A foreign transcript evaluation is required any time foreign course work is used to meet an employment related credential requirement. An evaluation is required even if the foreign course work has been accepted by a college or university in the United States.•

Working Conditions and Physical Effort Environment:

Work is normally performed in a typical interior/office work environment.

Physical Effort:

No or very limited physical effort required.

Lifting Requirements:

Requires handling of average-weight objects up to 10 pounds or some standing or walking.

Risk:

No or very limited exposure to physical risk.