AWM- Product Delivery Manager, Equities

JPMorgan Chase & Co.

New York (NY)

On-site

USD 120,000 - 190,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. seeks a Data Strategy Lead for its Equities unit in New York. You will partner with research and portfolio teams to develop data products, dashboards, and analytics that empower investment decisions.

You will coordinate with data owners, technology teams, and business stakeholders to ensure governance, data quality, and accessible insights across consumer bases.

Qualifications

  • Strong track record delivering data products for equities or research teams.
  • Experience building data assets (curated datasets, analytics data sets, data services).
  • Ability to elicit requirements, translate needs into data solutions, and engage stakeholders.

Responsibilities

  • Partner with Equities business consumers to define use cases and specifications for data products.
  • Collaborate with data owners to source, transform, and validate data for high-quality products.
  • Lead end-to-end data product development across business, data, and tech teams to meet standards.

Skills

Equities data
Data product dev
Stakeholder eng.
Data governance
SQL
Python
Data sourcing
Cross-functional

Tools

SQL
Python
Java

Job description

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.
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