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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering AI models and data architectures while applying data management and governance principles. Proven ability to collaborate with cross-functional teams to integrate AI capabilities and drive technical innovation in regulated environments.
Highest-signal resume keywords
AI Model DevelopmentData Architecture DesignData GovernanceRisk ManagementTechnical Project Management
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 ModelsData ArchitecturesAnalytics MethodologiesData ManagementData QualityData LineageMetadata ManagementData InsightsAutomationTechnical Solutions
Soft Skills
CollaborationCommunicationProblem-SolvingStakeholder ManagementTechnical Guidance
Tools & Technologies
Data Catalog PlatformsMetadata Management ToolsAgile Delivery Practices
Industry Keywords
Financial ServicesRegulatory ComplianceControl FrameworksEnterprise Data Capabilities
About the role
Key responsibilities & impact- Designs and delivers AI models, data architectures, and data solutions to improve business processes and system performance
- Develops technical solutions and collaborates with cross-functional teams to integrate AI and data capabilities into business applications
- Conducts experiments and evaluates the performance, effectiveness, and business value of AI and data initiatives
- Supports technical innovation and advancement of enterprise AI, data, and analytics capabilities
- Provides technical guidance to AI and data teams and translates business needs into actionable technical requirements
- Applies data management and data governance principles throughout AI and data solution design and implementation
- Ensures adherence to AI, data governance, risk management, and control standards
- Analyzes operational processes, identifies improvement opportunities, and recommends scalable solutions
- Monitors technical project progress, identifies emerging risks and control gaps, and implements mitigation strategies
- Drives automation of repeatable data preparation, integration, governance, and monitoring activities
- Applies AI, analytics, and data insights to solve complex business and operational challenges
- Identifies, assesses, and mitigates risks associated with AI models, data architectures, and data processing activities
- Partners with business, technology, risk, and governance stakeholders to prioritize capabilities, define requirements, and support delivery
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, a related field, or equivalent education, training, and work-related experience
- Minimum of 5 years of professional experience in AI and data
- Knowledge of AI models, data architectures, and analytics methodologies
- English language fluency required
- Advanced degree in a relevant technical or business discipline (preferred)
- Experience in the financial services industry or another highly regulated environment (preferred)
- Experience with data governance, data management, metadata management, data quality, data lineage, or related enterprise data capabilities (preferred)
- Understanding of AI governance, model risk management, regulatory compliance, risk management, and control frameworks (preferred)
- Familiarity with data catalog and metadata management platforms, including business glossaries, data lineage, data classification, and critical data element management (preferred)
- Prior product owner, product management, or capability ownership experience, including defining requirements, prioritizing backlogs, and coordinating delivery across business and technical teams (preferred)
- Experience planning and managing technical projects or enterprise data initiatives (preferred)
- Experience translating business, governance, and regulatory requirements into technical solutions and sustainable operating processes (preferred)
- Experience working with cross-functional stakeholders across business, technology, risk, compliance, and data governance (preferred)
- Familiarity with agile delivery practices and tools used to manage product requirements, priorities, and implementation (preferred)
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
- No less than 10 days of vacation during the first year, prorated based on date of hire and full-time or part-time status
- 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)