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:
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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.
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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)
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Strong business engagement skills with proven ability to elicit requirements, understand use cases, and translate business needs into data solutions
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Experience working with data owners and data engineering teams to source, transform, and curate data
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Solid understanding of data quality, metadata management, and technical skills (SQL, python, etc)
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Ability to operate effectively in a matrixed environment, influencing without authority across business, data, and technology stakeholders
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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.
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Proficiency in SQL, Python, or JAVA for hands-on curation, testing and evaluation of data products
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Familiarity with business intelligence tools (ThoughtSpot, Tableau) to utilize audit reporting and build dashboards
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Good knowledge of key market data offerings such as Bloomberg, LSEG/Refinitiv FXT/Eikon/Workspace, Factset, S&P, etc.