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

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.

• 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.

• Strong investment management domain knowledge.
• Strategic thinking and enterprise mindset.
• Strong analytical and quantitative reasoning capabilities.
• Ability to translate business objectives into data and technology solutions.
• Strong stakeholder management and communication skills.
• Systems thinking and architecture-oriented problem solving.
• Ability to balance strategic planning with tactical execution.
• Experience leading cross-functional initiatives across business and technology teams.
• Ability to influence without direct authority.

• 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.

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

WHAT TO EXPECT AFTER APPLYING

1. You will receive an email and text message to answer a few questions to verify your eligibility. If you apply for multiple jobs, you will receive separate invitations for each role and will need to respond to each. Estimated Time Commitment: 3-5 minutes

2. If you are eligible, you will be asked to record video responses to introductory questions with our vendor partner, HireVue. Take time to read all instructions carefully before responding. Some questions may require you to respond within a set time limit, or with limited retakes. You can use this opportunity to tell us more about your background and interest than we can learn from a resume alone. Estimated Time Commitment: 20-30 minutes

Base Salary Ranges

Please review the job posting for the location of this specific opportunity.

Placement within the range provided above is based on the individual’s relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.

• Advanced SQL skills.
• Python experience for data analysis and prototyping.
• Experience working with data warehouses and analytical platforms.
• Experience creating UML diagrams, process flows, and architecture documentation.
• Strong understanding of relational data modeling concepts.
• Experience with data quality, metadata, lineage, and governance concepts.
• Experience using Jira, Confluence, and related Agile delivery tools.

$96,500.00 - $164,000.00 for the location of: Maryland, Colorado, Washington and remote workers

$105,000.00 - $180,000.00 for the location of: Washington, D.C.

$120,000.00 - $205,000.00 for the location of: New York, California

We value your goals and needs, at work and in life. As an associate, you’ll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you.

• 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

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.