AWM- Product Delivery Manager, Equities

We are seeking a Data Strategy Lead for our Equities business to join our NY office. This person will partner with our Equities 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 Equities 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 Equities 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 tooperateeffectively 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 etc.