Lead Data Analyst– Investment Data Strategy (Washington DC or Baltimore, MD)
Core
Lead Data Analyst shaping the future state of investment data strategy, architecture, and operating models to enable portfolio management, research, trading, and AI capabilities.
Role type
Lead Business Analyst (Data Strategy & Architecture)
Builds
Enterprise investment data strategy, logical data models, metadata standards, data quality frameworks, and reusable investment data services.
Domain
Asset Management / Investment Management / Financial Services
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure
Required skills
Investment management domain knowledge, Strategic thinking, Data architecture, Data strategy, Agile methodology, Stakeholder management, Root-cause analysis, Process modeling, UML diagramming, Solution design
Preferred skills
SQL, Python, Data warehousing, Relational data modeling, Data governance, Metadata management, Jira/Confluence
Technologies
SQL, Python, Data warehouses, Jira, Confluence
Responsibilities
Define strategic vision for investment data capabilities, Analyze investment datasets and workflows, Identify data quality and lineage issues, Support root-cause analysis for investment platforms, Influence strategic decisions with data-driven insights, Drive adoption of enterprise data architecture principles, Evaluate current-state data ecosystems for simplification, Develop process flows and conceptual architectures, Participate in architecture reviews, Translate complex investment processes into scalable solutions
Seniority
Senior, hands-on IC with strategic influence
