Data Strategy Lead - Multi-Asset Solutions

Aumni; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks a Data Strategy Lead for its Multi-Asset Solutions team.

You will partner with research and portfolio management to develop data products, dashboards, and decision-support tools, coordinating with data owners, stakeholders, and technology teams to meet defined requirements. You will drive end-to-end data product development, ensure governance and quality, and support adoption to realize business outcomes.

Qualifications

• Extensive experience as an SME in Multi-Asset Solutions and Indices research.
• 3–5 years building data products or similar data assets.
• Strong ability to elicit requirements and translate business needs into data solutions.
• Experience collaborating with data owners and data engineering teams.
• Solid understanding of data quality, metadata management, and technical skills (SQL, Python).
• Ability to operate in a matrixed environment, influencing across stakeholders.

Responsibilities

• Partner with business consumers to translate use cases into data product specifications.
• Integrate data sources and ensure ingestion, transformation, and validation.
• Lead end-to-end data product development across stakeholders and tech teams.
• Ensure data products meet governance, ownership, and audit requirements.
• Support adoption and measurable business value realization.

Skills

Multi-Asset Solutions

Indices research

Requirements elicitation

Data governance

Data quality

SQL

Python

Java

Tableau

ThoughtSpot

Bloomberg

Refinitiv FXT

Eikon

Workspace

Factset

S&P

Tools

SQL

Python

Java

Tableau

ThoughtSpot

Bloomberg

Refinitiv FXT

Eikon

Workspace

Factset

S&P

Job description

JPMorgan Chase & Co. in New York seeks a Data Strategy Lead for its Multi-Asset Solutions team.

You will partner with research and portfolio management to develop data products, dashboards, and decision-support tools, coordinating with data owners, stakeholders, and technology teams to meet defined requirements. You will drive end-to-end data product development, ensure governance and quality, and support adoption to realize business outcomes.