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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the design and deployment of AI solutions, with a strong focus on Responsible AI practices, enterprise-scale technology delivery, and measurable business outcomes. Proven ability to drive innovation and collaboration across multidisciplinary teams while ensuring compliance with regulatory and ethical standards.
Highest-signal resume keywords
Executive-Level Leadership ExperienceAI/ML Lifecycle ExpertiseResponsible AI KnowledgeEnterprise Technology Solutions DeliveryAdvanced Degree in Computer Science or Related Field
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 Solution DesignAdvanced AnalyticsModel DevelopmentProduction DeploymentData EcosystemsExperimentation and PrototypingEnterprise ScalingGovernance and ControlsRisk ManagementCost Optimization
Soft Skills
Influencing Senior ExecutivesCollaboration Across TeamsLeadership EducationCommunity EngagementCulture of Innovation
Industry Keywords
Digital TransformationFinancial ServicesRegulatory ComplianceModel RiskPrivacy and Security
About the role
Key responsibilities & impact- Lead the design, development, and deployment of high-impact AI solutions across business lines
- Drive rapid experimentation, prototyping, and pilot execution, converting innovations into enterprise-scale deployments
- Move ideas from experimentation and prototyping into production-ready, commercially viable, enterprise-scale capabilities
- Oversee priority solution domains, including agentic AI, document intelligence, advanced models, and generative AI applications
- Own delivery of measurable outcomes, including revenue growth, cost optimization, efficiency gains, risk reduction, and customer or employee experience improvements
- Lead multi-disciplinary teams across ideation, validation, deployment, scaling, and optimization.
- Partner with technology and product organizations to industrialize AI delivery and establish reusable patterns, platforms, and capabilities
- Maintain strong regulatory, risk, ethical, and Responsible AI practices, proactively addressing bias, model risk, privacy, security, and unintended consequences.
- Provide leadership across the full AI lifecycle including in Ideation and early-stage R&D, Experimentation and validation, Production deployment, Enterprise scaling and optimization
- Serve as a senior advisor and integrator across decentralized AI initiatives, ensuring alignment to enterprise strategy and investment priorities
- Collaborate with business lines, product, technology, risk, legal, compliance, and data teams to embed governance and controls into delivery
- Drive enterprise adoption through leadership education, community engagement, “art of the possible” sessions, and use-case discovery
- Build, empower, and harmonize multidisciplinary teams across data science, engineering, product, risk, legal, compliance, and business functions
- Create a culture of innovation, experimentation, accountability, reuse, and continuous learning
Requirements
What you’ll need- Executive-level leadership experience in AI, advanced analytics, emerging technology, or enterprise-scale digital transformation
- Proven track record delivering enterprise technology solutions with measurable business impact
- Deep understanding of the AI/ML lifecycle, data ecosystems, model development, and production deployment models
- Strong knowledge of Responsible AI, model risk, governance, privacy, security, and regulatory expectations in financial services
- Ability to operate across complex, matrixed organizations and influence senior executives, business leaders, risk partners, and technology teams
- Advanced degree or equivalent experience in computer science, AI/ML, engineering, analytics, business, or a related field
Benefits
Comp & perks- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law