Senior Market Data Expert: Governance, Automation & Delivery

Leadership Tilt; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Leadership Tilt is seeking a Market Data Subject Matter Expert with deep knowledge of financial datasets, investment workflows, and enterprise data management. You will work with clients and delivery teams to translate complex business needs into clear data requirements, practical workflows, and effective quality controls.

The role combines hands-on domain expertise with strong analytical skills, stakeholder engagement, and the ability to guide technology teams on the interpretation and use of

Qualifications

• 10+ years in market data, reference data, or investment-data operations in asset management or related fields.
• Strong knowledge of financial instruments and investment workflows, incl. fixed income and credit.
• Fluency with market-data vendors (Bloomberg, LSEG, ICE, S&P Global, Moody’s, Fitch, MSCI).
• Expertise in pricing, terms, identifiers, classifications, and corporate actions.
• Hands-on SQL for data investigation; strong spreadsheet skills.
• Bachelor’s degree or equivalent experience.

Responsibilities

• Lead discovery discussions and translate business challenges into clear data requirements.
• Guide teams on data definitions and market conventions to reflect investment workflows.
• Define validation, reconciliation controls, and data lineage.
• Partner with technology to shape practical solutions and domain validation for automation.
• Mentor analysts and delivery teams to uphold data quality standards.

Skills

Market data

SQL

Stakeholder engagement

Data governance

Business analysis

Investment workflows

Vendor data

Education

Bachelor’s degree or equivalent

Tools

Bloomberg

LSEG

ICE

S&P Global

Moody’s

Fitch

MSCI

Job description

Leadership Tilt is seeking a Market Data Subject Matter Expert with deep knowledge of financial datasets, investment workflows, and enterprise data management. You will work with clients and delivery teams to translate complex business needs into clear data requirements, practical workflows, and effective quality controls.

The role combines hands-on domain expertise with strong analytical skills, stakeholder engagement, and the ability to guide technology teams on the interpretation and use of