oracle
AM Data Product Manager - VP
JPMorgan Chase
London, GBR
Full-time
Senior
Onsite
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SQLPython
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Job Responsibilities
- Partner directly with 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, assess data quality and fitness for purpose, and oversee data curation 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 realization by working with consumers to ensure products are understood, accessible, and delivering intended business outcomes
- Deploy as accelerator or surge capacity on priority business initiatives, providing hands-on data product expertise to supplement domain teams and accelerate delivery
- Support the design and continuous improvement of the data product operating model, standards, and governance processes in partnership with transformation leadership
- Contribute to rationalization efforts by assessing existing data products for duplication, quality issues, and consolidation opportunities
Required Qualifications, Capabilities, and Skills
- Direct hands-on experience developing data products or similar data assets, including curated datasets, analytical datasets, or data services
- Strong business engagement skills with the 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 and metadata management, with proficiency in SQL and Python
- Ability to operate effectively in a matrixed environment and influence stakeholders across business, data, and technology functions
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