Manager, Data Engineering and Analytics
Core
Developing, enhancing, and automating complex ETL and reporting processes for the Analytics and Portfolio Management team using AI, Machine learning, and statistical approaches.
Role type
Manager, Data Engineering and Analytics
Builds
Data pipelines, transformation models, executive and operational reports, and dashboards for business insights.
Domain
Financial services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Microsoft Excel, SharePoint, database design, schema configuration, DB sharding, indexing, integrity checks, view creation, project leadership, cost/benefit analysis, ROI calculation, Tableau, Power BI, Jira, Confluence, GitHub
Preferred skills
Financial reporting experience, agent design patterns, multi-agent systems, VBA
Technologies
SQL, Python, Tableau, Power BI, Jira, Confluence, GitHub, Microsoft Excel, SharePoint, Large Language Models, Agentic AI
Responsibilities
Develop, test, and implement transformation models and ETL processes; Coordinate data scripts quality assurance and acceptance testing; Collaborate with business partners to quantify automation benefits; Develop and implement executive and operational reports and dashboards; Drive data management best practices and mentor team members
Seniority
Manager, hands-on IC with team leadership