Program/Project Management Senior

USAA•San Antonio, TX

1d•$103,450 - $197,730

About The Position

As a dedicated Program/Project Management Senior at USAA, you will facilitate and drive the planning, execution, and delivery of moderately complex non-IT work efforts intended to accomplish business goals and objectives within prescribed timeframes and budgets. You will demonstrate an advanced understanding of how activities contribute to strategic business goals and operational objectives. You will collaborate with key stakeholders, vendors, and project/program teams to identify mutually beneficial outcomes for competing priorities and negotiate timelines to ensure objectives are met. The role drives and coordinates work efforts with a focus on AI/ML initiatives and the end-to-end AI/ML lifecycle. You will help bridge experimental model development and production deployment, remove technical and organizational impediments, and coordinate Data Science and AI/ML Engineering teams. The position also supports infrastructure, compute resources, governance, MLOps practices, and CI/CD pipelines needed to deliver scalable, secure, and well-performing models.

Requirements

Bachelor's degree, or 4 years of relevant education and/or experience.
6 years of relevant experience in project or program management, including planning, tracking, and delivery.
Comprehensive knowledge and demonstrated application of project management tools and methodologies.
Collaboration skills in a matrixed environment, including providing consultative guidance to help solve enterprise-level issues.
Understanding of scope definition, process and solution mapping, process structures and components, and standard project planning methodologies.
Experience supporting projects with complex deliverables, including information technology and dependencies across organizations.
In-depth understanding of risk management policies and procedures.

Responsibilities

Drive implementation of low to moderately complex work efforts, including AI/ML-driven initiatives, in collaboration with cross-functional teams such as Data Scientists and AI/ML Engineers.
Plan, direct, and coordinate complex work efforts, ensuring project plans account for model development milestones and engineering requirements for scalable deployment.
Facilitate collaboration on creative alternatives to work-effort challenges with subject matter experts, considering common AI application patterns and architectural constraints.
Remove obstacles and impediments to meet business and operational objectives, including technical hurdles related to data pipeline integration, feature store management, model monitoring, and productionization of prototypes.
Assist in defining controls and overall delivery of work efforts, ensuring Data Science and AI/ML Engineering teams have the infrastructure, compute resources, and governance frameworks needed to meet goals and success criteria.
Identify and apply best practices and process improvements; drive adoption of MLOps standards and machine-learning CI/CD pipelines.
Coordinate Data Scientists and AI/ML Engineers, managing technical dependencies and handoffs to maintain model performance, scalability, and security in production environments.
Collaborate with stakeholders, vendors, and project/program teams to resolve competing priorities and negotiate timelines.