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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Power BI design, data modeling, and AI integration to deliver impactful analytics solutions. Proven ability to lead technical initiatives, enforce data governance, and mentor team members in a collaborative environment.
Highest-signal resume keywords
Power BI Semantic ModelsAI ModelsData ArchitecturesDAX OptimizationAgile 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
Data ModelingPredictive AnalyticsNatural Language QueryingAI-Assisted InsightsMachine LearningData GovernanceAnalytics MethodologiesReport Performance OptimizationFeature Store ManagementCloud Architecture
Soft Skills
MentoringCollaborationLeadershipCommunicationProblem-Solving
Tools & Technologies
Power BIQlikSenseSnowflakeAWS CloudGitlabRallyJira
Industry Keywords
Financial ServicesRegulatory ComplianceData Quality PracticesData-Driven Culture
Tech Stack
Tools & technologiesAWSCloudSnowflake
About the role
Key responsibilities & impact- Design, build, and deploy Power BI semantic models and reports
- Provide governed, performant, and reusable analytics for business users
- Apply Power BI architecture, data modeling, relationships, DAX, and report performance optimization
- Implement AI on BI capabilities, including natural language querying, Co-Pilot integration, AI-assisted insights, and predictive analytics
- Build and maintain feature stores for machine learning and analytics use cases
- Translate business requirements into interactive dashboards, visualizations, and reporting solutions
- Collaborate with cross-functional teams to integrate AI solutions into business applications and workflows
- Enforce AI and data governance standards
- Mentor junior team members and promote a data-driven culture
- Lead large or complex technical initiatives, including delegation and review of work products
- Work with the Architecture team on cloud architecture, data pipelines, and enterprise data environments
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related field
- Minimum of 7 years of professional experience in AI and data
- Strong knowledge of AI models, data architectures, and analytics methodologies
- English language fluency required
- QlikSense experience, development, and deployment preferred
- Snowflake/AWS Cloud experience preferred
- Familiarity with observability, monitoring, and data quality practices preferred
- Exposure to AI/ML technologies or AI-enabled analytics solutions preferred
- Master’s degree in a relevant technical discipline preferred
- Experience in the financial services industry preferred
- Familiarity with regulatory compliance and data governance frameworks preferred
- Experience managing complex technical projects preferred
- Rally/Jira experience in an Agile environment preferred
- Gitlab DevOps experience for software development and deployment 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 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