Senior Development Product Owner - AI Product Solutions

USAA•Charlotte, NC

2d•Onsite

About The Position

The Senior Development Product Owner - AI Product Solutions joins AI enablement teams in USAA’s Technology organization and supports an AI delivery value chain spanning pilots through production. The role serves several AI domains and partners with peers to manage dependencies and risks across the broader AI value chain, working with multiple delivery teams and stakeholders throughout the development lifecycle. The Product Owner gathers, understands, and communicates business needs; manages work backlogs; and guides Data Scientists and AI Engineers in writing and refining features and stories, planning and prioritizing work, and managing delivery risks. The role ensures development adheres to applicable internal software development lifecycle controls and uses strong critical thinking, problem-solving, and technical knowledge to plan and predictably deliver business value across multiple delivery methodologies. This role requires working in the office four days per week and may be based in San Antonio, Texas; Plano, Texas; Phoenix, Arizona; or Charlotte, North Carolina. Relocation assistance is not available. USAA does not provide visa sponsorship for this role.

Requirements

Bachelor’s degree, or four years of relevant education and/or experience.
Six years of experience in process improvement, project delivery, business/requirements analysis, or work directly related to supported business operations or product line.
Advanced knowledge of the AI development lifecycle, including data science-run pilots and engineering-run productionalization and hardening.
Advanced experience analyzing business requirements, process flows, and use cases to identify opportunities to streamline processes in accordance with risk management frameworks and regulatory requirements.
Advanced knowledge and demonstrated use of Process Engineering methodologies.
Ability to independently gather business requirements, process flows, and use cases; develop and deliver business capabilities within an approved methodology; write user stories; and follow the development process through user story acceptance.
Experience identifying opportunities to drive decisions and streamline business processes in accordance with risk management frameworks and regulatory requirements.
Work in the office four days per week.
Must not require immigration support now or in the future; USAA does not provide visa sponsorship for this role.

Nice To Haves

Five or more years of experience delivering successful AI/Machine Learning products.
Three or more years of experience in enterprise technology, Data Science, or AI/ML product or program management at a major financial institution.
Three or more years of experience managing delivery-team backlogs and workflows in systems of record such as JIRA and Clarity.
Three or more years of experience managing code development execution and delivery, from story writing through production, predictably and on time.
Three or more years of experience managing development-team or program-level risks and dependencies across large technology organizations, including identifying, assessing, mitigating, documenting, and presenting their status.
Technical understanding of AI concepts and their business value, including data requirements and technical trade-offs and challenges with Data Scientists and AI Engineers.
Ability to break features into iterative stories, prioritize backlog stories, align the backlog to sprint cadence, and release planned story work incrementally.
Experience managing release processes, including documenting and assessing testing, determining whether code meets product requirements, demonstrating technology concepts and working technology, post-release validation, and documenting work completion.
Experience engaging and influencing cross-functional teams and leaders, including Data Scientists, engineers, and other personnel in geographically distributed environments, to deliver working technology.
Demonstrated bias toward informed action, including taking initiative to understand ambiguous development challenges or stakeholder needs, planning a path forward, and generating buy-in for timely, impactful action.
US military experience through military service or as a military spouse/domestic partner.

Responsibilities

Work with business partners and subject matter experts to understand business strategy and vision, then write, refine, accept, and prioritize stories and features for effective, compliant solutions while balancing investment and business value.
Own and maintain a prioritized work backlog for one or more Agile teams, including complete user stories with acceptance criteria that are consumable and testable.
Review and accept development output to confirm specified acceptance criteria have been met.
Represent the business and customers’ perspectives to delivery teams throughout the product delivery cycle.
Participate in cross-functional teams—including user experience partners, designers, business analysts, developers, and testers—to develop, execute, and release work in alignment with program or product road maps.
Partner with sponsors, stakeholders, and IT to facilitate, define, and document business processes and understand improvement-area needs, measures, risks, and controls.
Prepare the business for change and provide tactics and metrics for benefits, adoption, and risk, using existing change-management routines as needed.
Work with internal and external technologies and oversee development, testing, and controls.
Seek opportunities to enhance, improve, and advance the business development and execution discipline.
Coach and mentor other Product Owners.
Lead development across multiple teams at the project or program level, applying knowledge across multiple business or system domains.
Ensure business risks are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
Manage dependencies and risks across AI delivery domains and teams.
Guide Data Scientists and AI Engineers in refining features and stories, planning and prioritizing work, and managing delivery risks.
Ensure development work adheres to applicable internal software development lifecycle controls.