Head of Multi-Asset & Wealth Data

S&P Global•New York, NY

9d•$150,481 - $226,019

About The Position

The Head of Multi-Asset & Wealth Data owns the end-to-end Multi-Asset & Wealth data value stream within S&P Global’s Global Data Enablement and Operations organization. The role ensures that data products reliably support index construction, calculation, rebalancing, analytics, and downstream use, and translates index, product, and commercial priorities into a prioritized, executable data product roadmap with defined commitments, dependencies, and outcomes. The role leads data products throughout their lifecycle, from sourcing and domain definition through governance, platform adoption, operational readiness, and continuous improvement. As the primary business-facing data leader for Multi-Asset & Wealth, this position aligns stakeholders, resolves priorities, communicates progress and trade-offs, and coordinates Data Domain Owners, Data Product Owners, and Data Operations Analysts. It also drives asset-class vendor and content sourcing decisions, adoption of master data and data-quality standards, and transitions supporting greater operational centralization. Key outputs include a value-stream strategy and roadmap; governed data domains with clear ownership and decision rights; gold, platform-ready data products meeting quality, lineage, availability, and usability requirements; documented OKRs, KPIs, delivery commitments, and value measures; transparent data-quality, master-data, and platform-adoption metrics with remediation plans; and practical operations-centralization transition plans covering controls, handoffs, service expectations, and change management. The role partners with Value Stream Business Owners, the Distribution Value Stream Owner, Technology, Product, Platforms and Design, Index Management, Index Design, Commercial teams, the Enterprise Data Office, Data Domain Groups, Data Operations, and external data and content providers. The position is limited to people 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 proceed.

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 turn 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 influence without direct authority.
Commercial mindset and ability to connect data investment to index, client, operational, and risk outcomes.
Clear, credible communication skills, including simplifying technical issues, surfacing trade-offs, and driving decisions.
Strong prioritization, execution, and change-management skills.
Collaborative leadership and ability to build accountability and effective partnerships across global teams.
Indefinite right to work in the United States.

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 data products from sourcing and domain definition through governance, platform adoption, operational readiness, and continuous improvement.
Serve as the primary business-facing data leader for Multi-Asset & Wealth; align stakeholders, resolve priorities, and communicate 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 transitions toward greater operational centralization.
Define and govern data domains with clear ownership and decision rights.
Establish data product quality, lineage, availability, and usability requirements and deliver platform-ready products.
Document OKRs, KPIs, delivery commitments, and value-realization measures.
Track data quality, master data, and platform adoption metrics, with transparent remediation plans.
Develop operations-centralization transition plans that address controls, handoffs, service expectations, and change management.