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Data Architect Manager​/UKHC

Job in Lexington, Fayette County, Kentucky, 40598, USA
Listing for: Inside Higher Ed
Seasonal/Temporary position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 93000 USD Yearly USD 93000.00 YEAR
Job Description & How to Apply Below

Job Title

Data Architect Manager/UKHC

Requisition Number

RE53075

Working Title

Data Architecture Manager

Department Name

H3997:

EVPHA Information Technology

Work Location

Lexington, KY

Grade Level

14

Salary Range

$93,/year

Type Of Position

Staff

Position Time Status

Full-Time

Required Education

BA

for more information about equivalencies

(Use the "Apply for this Job" box below)./equivalencies

Required Related Experience

7 yrs

Required License/Registration/Certification

None

Physical Requirements

Mobility to work from several locations depending on business needs; occasionally lifting, pushing, and/or pulling objects up to 50lbs; occasionally standing or walking with objects up to 10lbs; regularly sitting at a computer workstation for extended periods of time with regular repetitive motions (such as typing); occasionally dealing with combative/violent people; and occasional job-related travel.

Shift

Monday through Friday; 8:00am – 5:00pm, with some evening, nights, and weekends required per business needs.

Job Summary

This key leadership role will support UK’s transformation by advancing data analytics and business intelligence capabilities and helping the organization leverage data as a strategic asset. This position provides both people leadership and hands‑on technical direction for a growing team that supports Epic EMR data, Azure‑based analytics platforms, and enterprise reporting. The Manager sets direction, establishes standards, and ensures reliable delivery while fostering a collaborative, communicative, and high‑performing team culture.

The Data Architecture Manager leads the data architecture function of the Enterprise Data Warehouse within UK ITS, ensuring it remains adaptable to evolving industry standards and organizational needs. This position serves as a subject matter expert in data warehousing, data engineering, staging and integration—including data mapping, extraction, transformation—along with data modeling, database design, and the performance and capabilities of enterprise analytics platforms.

As part of the analytics and data warehousing leadership structure, this role guides the Data Architecture team, contributes to strategic decision‑making, and helps drive the maturation of UK’s enterprise data environment. This role manages supervisors and/or individual contributors and provides operational and technical leadership for cloud‑based data platforms, data integration, and analytics environments. The position applies advanced knowledge of data engineering, analytics platforms, and healthcare data processes to manage moderately complex to complex work activities.

The Manager sets operational direction for staff, ensures alignment with departmental policies and objectives, and contributes to continuous improvement of data platforms supporting clinical, operational, and administrative decision making. The position requires staying current with rapidly changing industry requirements and recommending advancements that align with organizational goals.

Skills / Knowledge / Abilities

Qualified candidates must have demonstrated experience in database design, database programming, database administration and data integration/ETL (extract, transform, load) or modern cloud‑native data engineering. This individual must have knowledge of project management methodologies and practices as well as strong leadership and financial management skills. The ideal candidate will have solid experience of data warehouses, data engineering practices, relational database design—the management and optimization of structured, semi‑structured and unstructured data types—data modeling, analytics and reporting tools such as SSRS, Power BI, Tableau and Cognos and data mapping and data integration tools such as Azure Data Factory, SSIS and Databricks.

The ideal candidate must have experience (or ability to quickly become proficient) with enterprise cloud data platforms (such as AWS, Google Cloud, or Microsoft Azure). Knowledgeable in Microsoft Azure services preferred. Must be a customer‑focused, determined leader who possesses strong facilitation, presentation, conflict management, problem solving and communications skills.

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