ETF Data Ownership and Governance

• Act as a business data owner/domain owner for ETF Trading Solutions, with accountability for the fitness, usability and appropriate governance of critical ETF data used in investment and trading workflows.
• Define and maintain business definitions, data requirements, critical data elements, ownership and stewardship expectations, lineage needs, quality standards and control requirements for ETF data domains.
• Establish and monitor data-quality measures and controls; investigate exceptions, coordinate root-cause analysis and drive remediation with Technology, Operations, vendors and other data-producing teams.
• Own the business prioritization of ETF data defects, enhancements and strategic initiatives, balancing investment impact, operational risk, scalability and platform growth.
• Represent ETF Trading Solutions in data governance forums and ensure business decisions, standards and ownership are clearly documented and communicated.
• Partner with Technology to develop and evolve the ETF data strategy, target data model, APIs and reusable data services, with clear business acceptance criteria and validation of delivered solutions.
• Identify opportunities to simplify, standardize and automate data acquisition, transformation, validation and distribution, reducing manual intervention and implementation risk.
• Ensure new ETF products and capabilities have appropriate data readiness, controls and operating ownership before launch and as they scale.

Analytics, Technology and Platform Development

• Build and maintain analytical tools and data pipelines supporting ETF implementation, monitoring and decision-making.
• Lead the business design and implementation of a scalable ETF reconciliation/data-quality platform, working with our Technology partners to build out the supporting tooling, controls, and exception workflows.
• Work effectively with APIs, relational databases and structured data formats to extract, transform, validate and integrate data across investment workflows.
• Use programming and modern development practices to create robust, maintainable solutions, including testing, version control and CI/CD where appropriate.
• Translate investment and trading requirements into clear specifications for Technology and partner teams, and participate in solution design, testing and implementation.
• Develop metrics and management information that make data quality, process health, implementation outcomes and platform scalability visible to stakeholders.

Subject Matter Expertise, Communication and Partnership

• Serve as a subject matter expert on ETF implementation and ETF data, connecting investment, trading, operational and technology perspectives.
• Communicate the ETF data strategy, roadmap, priorities, risks and decisions clearly to stakeholders across the investment organization.
• Create concise, high-quality analysis, communications and presentations for Investment Staff, senior stakeholders and, where appropriate, external audiences.
• Actively share knowledge and best practices across ETF Trading Solutions and the broader Trading Solutions platform.
• Maintain relevant market and industry expertise through professional bodies, industry events and engagement with external partners.

Skills and Experience to Succeed in the Role

• Degree in a quantitative discipline, or equivalent experience, with strong mathematics, computer science, engineering, finance or related analytical skills.
• Strong understanding of ETFs and their primary- and secondary-market mechanics; knowledge of tax-lot optimization and tax-efficient portfolio implementation is highly desirable.
• Experience owning or governing business data, including defining requirements and standards, managing data quality and controls, and partnering with Technology to resolve issues and deliver strategic data capabilities.
• Experience extracting, transforming and manipulating data, with a strong understanding of APIs (including REST/SOAP), relational databases and structured formats such as JSON and XML.
• Programming experience in R and at least one additional language such as Python or C/C++; experience with version control, containerization and CI/CD is beneficial.
• Ability to combine investment judgment, quantitative analysis and technology to solve ambiguous problems and build scalable solutions.
• Strong communication and stakeholder-management skills, with the ability to establish ownership, influence priorities and drive cross-functional work to completion.
• Outstanding candidates with adjacent investment, trading, data or technology experience may be considered where they demonstrate the ability to develop the required ETF and tax expertise.

Role Outcomes

• More efficient and tax-aware ETF implementation and trading decisions.
• Clear business ownership and governance of critical ETF data.
• Higher data quality, stronger controls and faster remediation of issues affecting investment workflows.
• Scalable, reusable data and analytical capabilities that support ETF product growth and new trading solutions.
• Closer alignment across Investment, Trading, ETF Capital Markets, Operations, Compliance, Tax and Technology around a common ETF data strategy and operating model.

This role is eligible for hybrid work, with up to one day a week from home.