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Director, AI and Analytics

Job in Austin, Travis County, Texas, 78716, USA
Listing for: University Federal Credit Union
Full Time position Listed on 2026-11-06
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 180000 - 250000 USD Yearly USD 180000.00 250000.00 YEAR

Job Description & How to Apply Below

  • Strategic Growth
  • Full-Time
  • Requisition #: DIREC
    004482
Description

Job Summary

The Director, AI & Analytics is a collaborative & technical partner that seeks opportunities to learn and engage across the enterprise. The Director, AI & Analytics will lead, architect, and deliver UFCU’s portfolio of strategic, operational, and transformational AI solutions, impacting data usage, AI adoption, and predictive analytics impact across the enterprise. This role is a highly technical player-coach leadership position requiring ongoing hands‑on involvement in the design, development, training, deployment, and optimization of machine learning and generative AI solutions.

This leader will partner across the organization to deliver innovative and data driven solutions and to turn member insights into competitive advantages.

This position is an exempt role, reports to the VP, Data & AI and leads the AI & Analytics team.

About UFCU

Our Credit Union was founded in 1936 and has grown to serve members throughout Texas and beyond. At UFCU, we are more than just a financial institution, and our people are more than just employees. We are dedicated to our purpose of empowering our Members to achieve financial success and build brighter futures
.

In pursuit of our aspiration that UFCU is
loved by millions of Members and built to thrive for generations
, we are guided by our values:

  • Purposefully Member-Obsessed: We are driven by a profound sense of empathy to deeply understand our Members’ needs and preferences, what brighter futures means to them, and the obstacles in their way. We act in our Members’ best interests, forever seeking to empower their financial success.
  • Possibilities Reimagined: We are inspired to courageously experiment, learn, and iterate in pursuit of positive impact for our Members, UFCU, and coworkers. We challenge assumptions, embrace diverse perspectives, and make use of data and insights.
  • Performance Excellence Rooted in Unwavering Integrity: We do the right thing, always. We champion teamwork, accountability, continuous improvement, and celebrate successful outcomes of others, fostering an inclusive environment of excellence and collaboration.

Essential Functions

Data and Analytics

  • Portfolio Execution:
    Lead the end-to-end delivery of AI use cases, from "Next Best Conversation" models to operational efficiency engines, ensuring they move beyond "lab" experiments into resilient production environments
  • Technical Sovereignty:
    Define the technical standards for AI delivery, influencing IT and Data Engineering teams on the evolution of the Databricks platform, Unity Catalog, and feature store requirements to ensure they meet the needs of modern data science
  • Multi-Disciplinary Leadership:
    Manage and mentor teams across data science, machine learning engineering, and operational business analytics, fostering a culture of "Delivery over Perfection”
  • Strategic Partnership:
    Serve as the primary "translator" between executive business goals and technical execution, ensuring the AI roadmap is prioritized based on business value and ROI. Partner with enterprise business function to manage operational, strategic and transformational AI & AI solutions
  • Production Excellence:
    Establish CI/CD, MLOps, and monitoring standards for models within the Databricks environment to ensure long-term stability and accuracy
  • Develop and execute the organization’s AI and analytics strategy in alignment with overall business goals
  • Lead model development efforts including feature engineering, model selection, hyperparameter tuning, validation, and performance optimization
  • Build and review Python-based machine learning solutions leveraging frameworks such as MLflow, PyTorch, Tensor Flow, Scikit-learn, Lang Chain, and related AI technologies
  • Dri…
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