VP, Data Product Management – Asset Management

JPMorgan Chase & Co.; City of Westminster; Presencial; GBP 90.000 - 120.000; Jornada completa

Descripción de la vacante

JPMorgan Chase & Co. in London’s City of Westminster is seeking a Data Product Manager in Asset Management to drive end-to-end development and deployment of data products that deliver measurable business value.

You will partner with business users, data owners, and technology teams to define requirements, source data, ensure governance and quality, and accelerate priority initiatives while shaping the data product operating model.

Formación

• Hands-on experience building data products or similar data assets.
• Strong ability to elicit requirements and translate needs into data solutions.
• Experience with data owners and data engineering teams to source and curate data.
• Solid знowledge of data quality and metadata management, SQL and Python.

Responsabilidades

• Partner with business consumers to understand use cases and translate demand into data product specifications.
• Collaborate with data owners to understand data sourcing options and ensure data quality.
• Oversee end-to-end data product development across business, data, and technology teams.
• Ensure data products meet governance, documentation, and access model standards.
• Support adoption and value realization by making products accessible and useful.
• Provide hands-on data product expertise to accelerate priority initiatives.
• Contribute to refining the data product operating model and governance processes.
• Assess existing data products for duplication and improvement opportunities.

Descripción del empleo

JPMorgan Chase & Co. in London’s City of Westminster is seeking a Data Product Manager in Asset Management to drive end-to-end development and deployment of data products that deliver measurable business value.

You will partner with business users, data owners, and technology teams to define requirements, source data, ensure governance and quality, and accelerate priority initiatives while shaping the data product operating model.