Manager, Application System Development

Key responsibilities: 

• Coach analysts; set operating rhythm and quality standards 

• Triage requests; define scope, timelines, and success criteria with stakeholders 

• Do hands-on analysis to answer priority questions and unblock delivery 

• Turn analysis into executive-ready insights (story, assumptions, limits) 

• Improve data inventory and documentation to increase reuse and reduce rework 

Must-Have 

• SQL (advanced): complex queries, window functions, multi-schema joins; able to navigate large unfamiliar data environments and get to answers independently 

• People management: experience leading a small team; able to allocate work, coach junior analysts, and keep the team unblocked without constant escalation 

• Cross-domain analytical thinking: comfortable joining data across business areas (e.g., credit, fraud, collections) to answer a single business question; sees connections others miss 

• Comfort with fragmented, incomplete data: able to design the approach for navigating disconnected source systems, reconcile inconsistencies, and piece together a coherent picture 

• AI-first mindset: daily user of AI tools; sets the standard for the team and is the strongest AI practitioner in the room 

• Stakeholder communication: able to translate analytical findings into clear, non-technical language for business audiences 

• Attention to detail: finance-grade accuracy; accountable for the quality of everything the team produces 

Nice-to-Have 

• Power BI: building and reviewing dashboards 

• Snowflake or any cloud data warehouse 

• Python or scripting for automation 

• Experience in financial services, payments, or fintech 

• Familiarity with data cataloguing or data inventory work at scale 

Not Required 

• Data engineering or pipeline development 

• Machine learning or data science 

• Deep domain expertise Day 1: will be developed on the job