Senior Vice President, Data Management

Responsibilities

• Build & Lead the Data Management Function
• Define the mandate, operating model, and organizational design for a centralized Data Management team encompassing data stewardship, data governance and data quality.
• Recruit, hire, and develop the team, including stewards, analysts and senior individual contributors, across all relevant data domains.
• Establish a robust performance framework, build career pathways and cultivate a team dynamic that attracts and retains top data talent.
• Serve as the senior point of accountability for data across the firm, partnering closely with Technology, Operations, Compliance, Finance and Investment teams.
• Data Stewardship & Governance
• Stand up an enterprise data governance framework covering data ownership, lineage, quality standards, issue management and audit controls.
• Implement practical, scalable data controls across the firm and contribute to ongoing improvements in governance, oversight, and data architecture.
• Define and assign data domain ownership across financial instruments, reference / security master data, transactional data, and investor / fund-level data.
• Define and enforce data quality SLAs, validation standards, and exception management processes spanning front to back office systems.
• Own the integrity of the firm’s security master across high yield bonds, leveraged loans, CLOs, structured credit, private credit, and alternative instruments.
• Partner with Compliance and Risk on regulatory data accuracy and reporting integrity.
• Data Modernization Program Leadership
• Serve as one of the internal owners of the firm’s Data Modernization initiative; partner with the selected external consultancy to set scope, milestones, and success metrics.
• Contribute the internal expertise and firm context needed to shape the strategic vision and inform the data modernization roadmap.
• Build the in-house data management team and capabilities required to sustain the modernized data operating model beyond the consulting engagement.
• Partner with Technology to define data requirements for, and inform the evaluation and selection of, modern data platforms, warehousing solutions, ETL/ELT tooling, and BI capabilities.
• Champion automation and AI-enabled data management to reduce manual effort, improve throughput, and elevate analytical capability.
• Manage relationships with key data vendors and providers (e.g., Bloomberg, Risk Metrics, ICE Data Services) to ensure cost-effective, high-quality supply.
• Stakeholder Partnership & Executive Communication
• Represent Data Management in firm-wide strategic planning, technology investment decisions, and senior leadership forums.
• Partner with senior leadership to prioritize data initiatives that deliver measurable impact on portfolio management, risk decision-making, and investor reporting.
• Translate complex data concepts clearly for investment professionals, senior leadership, and board-level audiences.
• Build trust and alignment across a matrixed, fast-paced investment organization.

Qualifications

• Bachelor’s degree in Finance, Computer Science, Engineering, Mathematics, or a related field; advanced degree (MBA, MS) preferred.
• 12+ years of progressive experience in data management, data governance, or data operations, with meaningful time in a senior leadership role.
• Demonstrated success building and scaling data functions from the ground up including organizational design, hiring and culture-building.
• Experience at a hedge fund, asset manager, or financial services firm with credit / fixed income exposure strongly preferred.
• Deep understanding of credit instrument — high yield bonds, leveraged loans, CLOs, structured credit, and private credit — and their associated data complexities.
• Direct experience partnering with external consultancies on large-scale data transformation programs.
• Strong proficiency in SQL; working familiarity with Python or similar scripting languages for data analysis and quality validation.
• Working knowledge of modern data warehouse and lakehouse platforms (e.g., Snowflake, Databricks) and ETL/ELT tooling, sufficient to partner effectively with Technology.
• Experience with BI and visualization tools (eagle, Power BI) and building enterprise-grade reporting frameworks.
• Knowledge of data governance platforms and metadata management tools (eagle, Informatica).
• Advanced proficiency in Microsoft Office, particularly Excel and PowerPoint, for senior-level reporting and executive presentations.
• Exceptional executive communication and influencing skills able to translate data complexity into clear business impact for investment, finance, and board-level audiences.
• Prominent leadership presence with the ability to build credibility quickly across a matrixed organization and drive alignment without direct authority.
• Strong manager and mentor who invests in the development of direct reports, fosters a high-performance culture and builds bench strength within the team.
• Strategic thinker who can zoom out to define a multi-year data vision while maintaining the operational discipline to execute against near-term milestones.
• Exceptional attention to detail and understands that data precision has direct downstream consequences on investment decisions and risk outcomes.
• Collaborative partner who builds strong cross-functional relationships across Investments, Technology, Operations, Compliance, and Finance.
• Calm and decisive under pressure; able to manage competing priorities and maintain quality standards in a demanding, fast-paced environment.
• High degree of professionalism and discretion when handling sensitive financial data, proprietary firm information, and regulatory matters.
• Entrepreneurial mindset with the drive and resilience to build from scratch, navigate ambiguity, and establish a new function within an established organization.