Job description

We are seeking a Data Strategy Lead for our Multi-Asset Solutions business to join our NY office. This person will partner with our Multi-Asset Solutions research and portfolio management teams as a subject-matter expert to drive data product development that underpins our research, analytical tools, dashboards, and decision-support for our portfolio management teams, coordinating across business stakeholders, data owners, and technology teams to deliver products that meet defined requirements and standards. Job Responsibilities: • Partner directly with Multi-Asset Solutions business consumers to understand use cases and requirements, translating demand into clear specifications for data product development • Work with data owners and custodians to understand data sourcing options, integrate new data sources as needed, ensuring seamless ingestion, transformation, and validation to deliver high quality, fit-for-purpose product to meet consumer needs. • Drive data product development end-to-end, coordinating across business stakeholders, data owners, and technology teams to deliver products that meet defined requirements and standards • Ensure data products meet documentation, governance, and control standards, including ownership, data contracts, quality expectations, access models, and audit evidence requirements   • Support adoption and value realisation, working with consumers to ensure products are understood, accessible, and delivering intended business outcomes Required qualifications, capabilities, and skills: • Experience working as a subject-matter expert in Multi-Asset Solutions and Indices business and research to develop investment inputs with track-record of delivering high-value investment products. • Direct, hands-on experience, 3-5 years in similar or related role developing data products or similar data assets (e.g., curated datasets, analytical data sets, data services) • Strong business engagement skills with proven ability to elicit requirements, understand use cases, and translate business needs into data solutions • Experience working with data owners and data engineering teams to source, transform, and curate data • Solid understanding of data quality, metadata management, and technical skills (SQL, python, etc) • Ability to operate effectively in a matrixed environment, influencing without authority across business, data, and technology stakeholders • Risk and control awareness, including alignment to security and integrity requirements in regulated environments Preferred qualifications, capabilities, and skills : • Analyze data models and updates to ensure data standards and metadata have accurate business context. • Proficiency in SQL, Python, or JAVA for hands-on curation, testing and evaluation of data products • Familiarity with business intelligence tools (ThoughtSpot, Tableau) to utilize audit reporting and build dashboards • Good knowledge of key market data offerings such as Bloomberg, LSEG/Refinitiv FXT/Eikon/Workspace, Factset, S&P, etc. We are seeking a Data Strategy Lead for our Multi-Asset Solutions business to join our NY office. This person will partner with our Multi-Asset Solutions research and portfolio management teams as a subject-matter expert to drive data product development that underpins our research, analytical tools, dashboards, and decision-support for our portfolio management teams, coordinating across business stakeholders, data owners, and technology teams to deliver products that meet defined requirements and standards.

Requirements

Must-haves

Partner directly with Multi-Asset Solutions business consumers to understand use cases and requirements, translating demand into clear specifications for data product development
Drive data product development end-to-end, coordinating across business stakeholders, data owners, and technology teams to deliver products that meet defined requirements and standards
Ensure data products meet documentation, governance, and control standards, including ownership, data contracts, quality expectations, access models, and audit evidence requirements
Support adoption and value realisation, working with consumers to ensure products are understood, accessible, and delivering intended business outcomes
Required qualifications, capabilities, and skills:
Experience working as a subject-matter expert in Multi-Asset Solutions and Indices business and research to develop investment inputs with track-record of delivering high-value investment products.
Direct, hands-on experience, 3-5 years in similar or related role developing data products or similar data assets (e.g., curated datasets, analytical data sets, data services)
Strong business engagement skills with proven ability to elicit requirements, understand use cases, and translate business needs into data solutions
Experience working with data owners and data engineering teams to source, transform, and curate data
Solid understanding of data quality, metadata management, and technical skills (SQL, python, etc)
Ability to operate effectively in a matrixed environment, influencing without authority across business, data, and technology stakeholders
Risk and control awareness, including alignment to security and integrity requirements in regulated environments
Analyze data models and updates to ensure data standards and metadata have accurate business context.
Proficiency in SQL, Python, or JAVA for hands-on curation, testing and evaluation of data products
Familiarity with business intelligence tools (ThoughtSpot, Tableau) to utilize audit reporting and build dashboards
Good knowledge of key market data offerings such as Bloomberg, LSEG/Refinitiv FXT/Eikon/Workspace, Factset, S&P, etc.

Nice-to-haves

Preferred qualifications, capabilities, and skills :

Application prep

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Keywords to mirror

sqlpythonjava

Platform: oracle-cloud
Effort: medium