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 toallocatework, 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 domainexpertiseDay 1: will be developed on the job