Senior Business Analyst – Investment Data Strategy

T. Rowe Price

Senior Business Analyst shaping investment data strategy and architecture for T. Rowe Price, a global asset management firm.

Posted 8/5/2026full-timeBaltimore • District of Columbia, Maryland • 🇺🇸 United StatesSenior💰 $96,500 - $164,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in investment data capabilities, data governance, and architecture, with a strong ability to translate complex investment processes into scalable technology solutions. Proficient in leading cross-functional initiatives and collaborating with agile teams to drive strategic data capabilities.

Highest-signal resume keywords

Investment Data CapabilitiesData GovernanceAgile Software DevelopmentAdvanced SQL SkillsData Quality Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Business AnalysisData ArchitectureData StrategyInvestment TechnologyAnalytical ReasoningRelational Data ModelingUML DiagramsProcess FlowsData LineageMetadata Management

Soft Skills

Project ManagementStakeholder ManagementSystems ThinkingAnalytical SkillsProblem Solving

Tools & Technologies

JiraConfluenceData WarehousesAnalytical PlatformsAgile Delivery Tools

Industry Keywords

Asset ManagementInvestment ManagementHedge FundsWealth ManagementCapital Markets

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Define and promote the strategic vision for investment data capabilities across the organization
Perform deep analysis of investment datasets, workflows, and business processes
Identify data quality, lineage, integrity, and operational issues and recommend solutions
Support root-cause analysis and remediation efforts across investment platforms
Use data-driven insights to influence strategic and architectural decisions
Drive adoption of enterprise data architecture principles, standards, and governance frameworks
Evaluate current-state data ecosystems and identify opportunities for simplification, standardization, and reuse
Support enterprise initiatives related to AI, metadata management, data governance, and data quality
Develop process flows, conceptual architectures, capability models, UML diagrams, and solution designs
Participate in architecture reviews and provide recommendations on data modeling approaches
Translate complex investment processes into scalable technology and data solutions
Partner with Data Engineers, Architects, front-office stakeholders, and Technology Leaders to define and deliver strategic data capabilities
Drive execution through agile technology teams

Requirements

What you’ll need

5+ years of experience in Business Analysis, Data Strategy, Data Architecture, Product Strategy, Investment Technology, or related disciplines
Experience within Asset Management, Investment Management, Hedge Funds, Wealth Management, Capital Markets, or related financial services organizations
Strong understanding of front-office investment workflows and investment data
Experience working directly with Portfolio Managers, Traders, Research Analysts, Risk teams, or Quantitative teams
Experience defining business capabilities, operating models, and strategic roadmaps
Experience partnering with agile software development teams
Demonstrated ability to lead complex cross-functional initiatives from concept through delivery
Strong project management and stakeholder management skills
Strong investment management domain knowledge
Strong analytical and quantitative reasoning capabilities
Ability to translate business objectives into data and technology solutions
Systems thinking and architecture-oriented problem solving
Advanced SQL skills preferred
Python experience for data analysis and prototyping preferred
Experience working with data warehouses and analytical platforms preferred
Experience creating UML diagrams, process flows, and architecture documentation preferred
Strong understanding of relational data modeling concepts preferred
Experience with data quality, metadata, lineage, and governance concepts preferred
Experience using Jira, Confluence, and related Agile delivery tools preferred
FINRA licenses are not required and will not be supported for this role

Benefits

Comp & perks

Competitive compensation
Annual bonus eligibility
A generous retirement plan
Hybrid work schedule
Health and wellness benefits, including online therapy
Paid time off for vacation, illness, medical appointments, and volunteering days
Family care resources, including fertility and adoption benefits
Resources to support your career path
Compensation, benefits, and flexibility to enrich your life