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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI and data strategies, architectures, and operational plans, with a strong focus on advanced AI platforms and analytics solutions. Proven ability to lead cross-divisional initiatives and mentor technical talent while ensuring compliance in a regulated financial services environment.
Highest-signal resume keywords
AI/ML ExpertiseData ArchitectureCloud-Based TechnologiesData GovernanceFinancial Services Experience
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 DevelopmentData EngineeringAdvanced AnalyticsModel Performance OversightRisk ManagementAutomation CapabilitiesTest-Data CapabilitiesProduction-Validation ApproachesSolution DesignData Product Development
Soft Skills
MentoringStakeholder InfluenceCross-Functional LeadershipInnovation DrivingCommunication
Tools & Technologies
Analytics PlatformsCloud Data TechnologiesData ToolsAI PlatformsData Products
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s or Doctorate Degree in Relevant Technical Discipline
Industry Keywords
Financial ServicesRegulatory ReportingData GovernancePrivacyRisk Management
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Shape AI and data strategies, architectures, and operational plans with 0–3 year impact on divisional outcomes
- Design, evolve, and govern advanced AI platforms, data architectures, and analytics solutions
- Lead large, complex, cross-divisional technical initiatives of strategic importance without formal reporting authority
- Establish enterprise standards, patterns, and best practices for AI development, deployment, monitoring, and lifecycle management
- Provide expert oversight of model performance, risk controls, explainability, and ethical AI usage
- Partner with senior leaders to identify high-impact AI and data opportunities
- Advise management and stakeholders on emerging AI technologies, data strategies, and industry trends
- Mentor and develop senior technical talent across the organization
- Drive innovation through intellectual property creation, proof-of-concept leadership, and continuous improvement
- Manage and direct execution of AI and data strategies
- Oversee development and deployment of AI models, data products, architectures, and capabilities
- Lead data and transformation initiatives supporting Finance, Risk, and Regulatory Reporting
- Establish the strategic vision, architecture, and operating model for trusted, high-quality data and data products
- Drive end-to-end delivery from opportunity identification and business case development through architecture, implementation, controls, adoption, and outcome measurement
- Influence senior stakeholders and lead cross-functional teams through complex transformation
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, a related technical field, or equivalent education, training, and work-related experience
- Typically 12+ years of progressive experience in AI, data engineering, advanced analytics, or related technical domains
- Demonstrated mastery of multiple technical areas, including AI/ML, data architecture, analytics platforms, and cloud-based technologies
- Master’s or Doctorate degree in a relevant technical discipline preferred
- Experience in the financial services industry preferred
- Expertise in solution designs based upon business requirements preferred
- Strong knowledge of data tools and technologies preferred
- Experience leading enterprise cloud data modernization initiatives and data product operating models preferred
- English language fluency required
- Ability to work in a highly regulated financial-services environment
- Experience across technology delivery, data governance, privacy, regulatory engagement, risk management, and AI oversight
- Experience establishing new delivery models and automation capabilities from the ground up
- Experience building automation and test-data capabilities, robust regression approaches, and production-validation approaches
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- Accidental death and dismemberment coverage
- Tax-preferred savings accounts
- 401(k) plan
- At least 10 days of vacation during the first year of employment, prorated
- 10 sick days, prorated
- Paid holidays
- Defined benefit pension plan (depending on position and division)
- Restricted stock units (depending on position and division)
- Deferred compensation plan (depending on position and division)