Jobs and Careers

Senior Data Analyst- Investment Data Strategy (Baltimore, MD or Washington DC)

United StatesRemotefull_timeVerifiedPosted 7 Aug 2026

About the role

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.

We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.

Join us for the opportunity to grow and make a difference in ways that matter to you.

About the Team

This team is responsible for defining the future state of investment data across the organization. You will have the opportunity to influence strategy, architecture, operating models, governance, and technology investments that support portfolio management, research, trading, analytics, and emerging AI capabilities. The role offers broad exposure across investment functions while providing a unique opportunity to shape foundational capabilities that will be leveraged throughout the firm for years to come.

This position is best suited for someone who enjoys operating between business strategy, investment domain expertise, data architecture, and technology execution.

Role Summary

The Investment Data Strategy & Architecture team is seeking an experienced Senior Data Analyst to help shape the future of investment data capabilities across the firm. This role sits at the intersection of investment management, data strategy, architecture, and technology delivery.

The successful candidate will partner with Data Engineers, Architects, Front Office Stakeholders (Portfolio Managers, Traders, Research Analysts, Quants), and Technology Leaders to define and deliver strategic data capabilities that enable investment decision-making, analytics, reporting, AI, and operational efficiency.

This role is ideal for someone who combines deep investment domain knowledge with strong analytical, architectural, and technology skills. You will help define enterprise investment data strategy, logical data models, metadata standards, data quality frameworks, and reusable investment data services while driving execution through agile technology teams.

This position is an evolution of the traditional business analyst role, emphasizing strategic thinking, data architecture, and product ownership with a strong technical foundation.

Responsibilities

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.

Core Competencies