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Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Development Lifecycle, including strategy, planning, and implementation of AI solutions. Proven ability to manage cross-functional teams, optimize product performance, and drive execution strategies in complex environments.
Highest-signal resume keywords
AI Development LifecycleDigital/Technology Product ManagementKey Performance IndicatorsAI/Machine Learning ProductsStakeholder Engagement
About the role
Key responsibilities & impact- Join USAA's Technology organization on AI enablement teams
- Lead a value chain of AI delivery from pilots through production
- Work with multiple lines of business, stakeholders, and delivery teams throughout the development lifecycle
- Prioritize projects and features across several AI domains
- Partner with stakeholders, data scientists, and engineers to design and drive implementation of AI solutions
- Identify opportunities to optimize and improve existing products
- Manage dependencies and risks across the wider AI value chain with peers
- Create AI enablement strategies, multi-year strategic roadmaps, multi-quarter tactical implementation roadmaps, and feature-level backlogs
- Guide the user experience and lifecycle of AI solutions from adoption and onboarding through ongoing engagement
- Use research, business and market intelligence, and data-driven insights to identify opportunities and improve performance
- Translate product and experience opportunities into initiatives, requirements, epics, and features, and drive execution strategy
- Shepherd complex and strategic digital or technology opportunities from idea through market validation
- Develop and defend product and technology investment business cases and hypotheses
- Analyze product performance against KPIs/KRIs and identify improvements
- Prepare presentations and facilitate product definition, discovery, development, delivery, and validation sessions
- Conduct research and situational analysis to apply industry best practices and trends
- Manage ambiguity, drive clarity, develop solutions, and establish execution plans
- Provide guidance and mentoring and act as an escalation point
- Identify, measure, monitor, and control risks in accordance with risk and compliance policies
Requirements
What you’ll need- Bachelor's degree; OR 4 years of relevant education and/or experience
- 8 years Digital/Technology Product Management experience, including experience in Strategy/Planning, Innovation, User Experience, Process Engineering, Analytics, and/or Research/Testing; OR an advanced degree and 6 years of Digital/Technology Product Management experience in these areas
- Comprehensive knowledge of the AI development lifecycle, including data science run pilots and engineering run productionalization and hardening, and emerging AI technologies
- Proven track record developing, influencing, presenting, and communicating highly complex business, digital, or technology concepts to lines of business, cross-functional teams, non-technical users, and senior leadership
- 8 or more years of experience delivering successful AI/Machine Learning products OR mixed experience delivering successful products and consulting on AI technology and tooling totaling 8+ years
- 5 or more years of experience in enterprise technology/engineering or Data Science at a major financial institution
- 5 or more years of experience setting Key Performance Indicators, objectives, and milestones and measuring progress in systems of record such as JIRA and Clarity
- Technical fluency across all phases of the AI lifecycle, including data requirements, technical trade-offs, challenges with data scientists and AI engineers, use-case development, and stakeholder business impact
- Proven success designing AI solutions and planning delivery, including prioritizing business needs, drafting solution designs, collaborating with architects, data scientists, and engineers, setting milestones, and drafting features
- Experience engaging and influencing cross-functional teams and leaders, including data scientists and engineers, across geographically distributed work environments
- Proven bias toward informed action in ambiguous business and technical situations
- US military experience through military service or as a military spouse/domestic partner
- Must not require immigration support now or in the future; USAA does not provide visa sponsorship
Benefits
Comp & perks- Flexible work environment with hybrid flexibility for active-duty military spouses, consistent with applicable policy and business needs
- Pay incentives based on overall corporate and individual performance, at the discretion of the USAA Board of Directors
- Comprehensive medical, dental and vision plans
- 401(k)
- Pension
- Life insurance
- Parental benefits
- Adoption assistance
- Paid time off program
- Paid holidays
- 16 paid volunteer hours
- Various wellness programs
- Career path planning
- Continuing education assistance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Solutions DesignData ScienceProduct ManagementProcess EngineeringAnalyticsUser ExperienceTechnical FluencySolution DesignFeature PrioritizationMarket Validation
Soft Skills
CommunicationInfluencingMentoringProblem-SolvingCollaboration
Tools & Technologies
JIRAClarityData-Driven InsightsMarket IntelligenceRisk Management
Industry Keywords
Financial InstitutionEmerging AI TechnologiesDigital TransformationCross-Functional TeamsMilitary Experience