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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading enterprise AI, data, and analytics strategies while ensuring compliance with regulatory obligations. Proven ability to manage teams, drive innovation, and deliver data-driven solutions in the financial services industry.
Highest-signal resume keywords
AI ModelsData ArchitecturesAnalytics MethodologiesData GovernanceFinancial Services Data Cloud Strategies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AIData AnalyticsData StrategyData QualityData PlatformsData ProductsData InitiativesPerformance MetricsData-Driven SolutionsData Engineering
Soft Skills
LeadershipCoachingMentoringCollaborationStrategic Guidance
Tools & Technologies
Data ToolsCloud Data SolutionsData Governance FrameworksMetadata ManagementData Lineage
Industry Keywords
FinanceRisk ManagementRegulatory ReportingBCBS 239Stress TestingCapital ManagementLiquidity Management
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Lead execution of enterprise AI, data, and analytics strategies
- Partner with senior Finance, Risk, and Regulatory leaders to define priorities and deliver data-driven solutions
- Establish and drive the enterprise data strategy for Finance, Risk, and Regulatory Reporting
- Lead large-scale transformation programs and complex data initiatives
- Oversee development, deployment, and operationalization of AI models, advanced analytics solutions, and data platforms
- Direct design and implementation of data products and trusted data assets
- Collaborate across business, technology, governance, and operations teams
- Establish and enforce data governance, data quality, metadata, lineage, and control frameworks
- Measure initiative effectiveness using performance metrics and business outcomes
- Drive innovation and advance enterprise AI, data, and analytics capabilities
- Lead and develop multiple AI, data, engineering, and analytics teams through senior managers and technical leaders
- Coach, mentor, and develop talent while promoting AI literacy and data-driven decision-making
- Provide thought leadership and strategic guidance to executive leadership and key stakeholders
- Build partnerships with internal and external stakeholders to identify challenges and deliver measurable business value
- Ensure scalable, secure, and compliant data solutions supporting regulatory obligations, audit requirements, risk management, and business objectives
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, a related field, or equivalent education and work experience
- Minimum of 10 years of professional experience in AI and data with progressive management responsibilities
- Proven experience managing teams and delivering AI and data-driven solutions
- Strong knowledge of AI models, data architectures, and analytics methodologies
- English language fluency required
- Master’s degree in a relevant technical or business 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 in building financial services data cloud strategies (preferred)
- Experience supporting Finance, Risk, BCBS 239, Regulatory Reporting, Stress Testing, Capital, Liquidity, or similar regulatory programs (preferred)
- Experience leading enterprise cloud data modernization initiatives and data product operating models (preferred)
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- Accidental death and dismemberment coverage
- Tax-preferred savings accounts
- 401k 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)