Leverage technical expertise and industry experience to influence the application, scalability, and enablement of artificial intelligence/machine learning (AI/ML) across USAA's enterprise, including key bank operations such as call center optimization, complaints program analytics, and digital servicing enhancements. This includes driving intelligent automation and personalization through next best action recommendations and predictive servicing strategies.
Requirements
- 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
- 6 years of experience in one or more dynamic scripted language (such as Python, R, etc.) with a focus on writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).
- Subject matter expert in the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc.
- Subject matter expert in the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
- Deep hands-on experience building, deploying, and managing the performance of advanced analytics solutions.
- Applied expertise in machine learning, NLP, and generative AI, with hands-on experience developing agent-based AI solutions tailored to banking operations such as call center automation, digital servicing, and complaints resolution.
- Proven leadership in technology research, strategy, and enterprise-scale implementation, particularly in Generative AI initiatives that enhance customer engagement, streamline servicing workflows, and support regulatory compliance across functional areas.
Responsibilities
- Identifies, researches, and defines large-scale, cross-functional AI/ML use cases in collaboration with business leaders, executive peers, and strategic partners.
- Guides end-to-end efforts to develop scalable, efficient, highly-performant, automated AI/ML solutions.
- Applies deep expertise to amplify the impact of modeling techniques on emerging business initiatives.
- Collaborates with IT architects to design, implement, monitor, and scale cutting-edge AI/ML solutions that translate prototypes into novel products, services, and features.
- Ensures that AI/ML solutions are built using industry best practices, and sound methodology.
- Designs large, complex information assets that enable applied analytics.
- Collaborates with engineering, data, and information architects to establish and maintain well-governed, documented, and controlled datasets from internal and external, structured, and unstructured sources.
Other
- Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members.
- We offer a flexible work environment that requires an individual to be in the office 4 days per week.
- Relocation assistance is available for this position.
- Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
- Clearly translates complex analytical and technical concepts to diverse, technical, and non-technical audiences in a way that promotes organizational data literacy and informs business priorities.
