Head of Multi-Asset & Wealth Data

OSTTRA•New York, NY

9d•$150,481 - $226,019

About The Position

The Head of Multi-Asset & Wealth Data leads the end-to-end data value stream within S&P Global’s Global Data Enablement and Operations organization. The team safeguards data integrity, governance, scalability, and strategic use across the index lifecycle, partnering across Index Management, Index Design, Product, Commercial, Technology, Data Operations, and Enterprise Data. The Multi-Asset & Wealth value stream connects index and product strategy to data execution, emphasizing clear ownership, disciplined prioritization, strong governance, and close business-technology partnership. The role is accountable for translating index, product, and commercial priorities into a prioritized data product roadmap and leading data products from sourcing and domain definition through governance, platform adoption, operational readiness, and ongoing improvement. It serves as the primary business-facing data leader for the value stream, coordinating stakeholders and teams while setting delivery commitments, measures, and transition plans. The position is limited to candidates with indefinite right to work in the United States. Final-stage external candidates must attend at least one in-person interview, ordinarily at their nearest S&P Global office, before an offer can be made. For US candidates, the anticipated base salary range is $150,481 to $226,019. Final base salary depends on geographic location, experience, skills, training, licenses, and certifications. The role is eligible for an annual incentive plan and additional S&P Global benefits.

Requirements

Extensive experience leading data products, data strategy, data operations, or data transformation in financial services, index, asset management, wealth management, or a closely related environment.
Demonstrated ability to own an end-to-end data roadmap and convert complex business strategy into prioritized requirements, delivery plans, and measurable outcomes.
Strong understanding of data governance, domain ownership, master data, data quality, lineage, vendor or content sourcing, and modern data-platform operating models.
Proven leadership of cross-functional teams and senior stakeholders across business, product, operations, and technology, including the ability to influence without direct authority.
Commercial mindset and ability to connect data investment to index, client, operational, and risk outcomes.
Clear and credible communication skills, including the ability to simplify technical issues, surface trade-offs, and drive decisions.
Strong prioritization, execution, and change-management skills.
Collaborative leadership skills, including the ability to create accountability and build effective partnerships across global teams.
Indefinite right to work in the United States.
External candidates reaching the final interview stage must attend at least one in-person interview before an offer can proceed.

Nice To Haves

Experience supporting multi-asset indices, portfolio construction, model portfolios, wealth solutions, or related investment data workflows.
Knowledge of index construction and calculation processes, data entitlements and licensing, and third-party market or reference data.
Experience establishing OKRs and KPIs for data products, operational performance, data quality, and platform adoption.
Experience centralizing or transforming data operations while maintaining control, service continuity, and stakeholder confidence.

Responsibilities

Own the end-to-end Multi-Asset & Wealth data value stream and ensure data products support index construction, calculation, rebalancing, analytics, and downstream use.
Translate index, product, and commercial priorities into a prioritized, executable data product roadmap with delivery commitments, dependencies, and outcomes.
Lead the data product lifecycle from sourcing and domain definition through governance, platform adoption, operational readiness, and continuous improvement.
Act as the primary business-facing data leader for Multi-Asset & Wealth, aligning stakeholders, resolving priorities, and communicating progress, risks, and trade-offs.
Lead and coordinate Data Domain Owners, Data Product Owners, and Data Operations Analysts, establishing an effective domain structure and operating rhythm.
Drive asset-class vendor and content sourcing decisions, adoption of master data and data-quality standards, and plans for greater operational centralization.
Establish governed data domains with clear ownership and decision rights.
Deliver gold, platform-ready data products that meet agreed quality, lineage, availability, and usability requirements.
Document OKRs, KPIs, delivery commitments, and value-realization measures.
Track data quality, master data, and platform adoption metrics and maintain transparent remediation plans.
Develop practical operations-centralization transition plans covering controls, handoffs, service expectations, and change management.