Role: Product Owner Location: Holmdel NJ or Hudson Yards NY (Hybrid) Contract
Needed : Experience working in data platforms / data engineering ecosystems (e.g. lakehouse reporting data pipelines)
Role & Responsibility Looking for a senior Product Owner with 8 10 years of experience demonstrating strong ownership and proven expertise in Investments and data platforms who can effectively bridge business stakeholders and engineering teams to drive product delivery.
Must Have Skills: Strong ownership mindset - drives scope priorities and delivery end to end Experience working in data platforms / data engineering ecosystems (e.g. lakehouse reporting data pipelines) Solid Investments domain understanding (e.g. fixed income portfolios positions pricing trades) Ability to translate business and data requirements into clear actionable work for engineering teams (artifacts such as data mapping lineage data dictionary) Comfortable managing cross-team dependencies across Investments Finance and Risk Focus on outcomes and closure - able to move work forward in ambiguous fast-moving environments.
Role: Product Owner Location: Holmdel NJ or Hudson Yards NY (Hybrid) Contract Needed : Experience working in data platforms / data engineering ecosystems (e.g. lakehouse reporting data pipelines) Role & Responsibility Looking for a senior Product Owner with 8 10 years of experience demonstrat...
Role: Product Owner Location: Holmdel NJ or Hudson Yards NY (Hybrid) Contract
Needed : Experience working in data platforms / data engineering ecosystems (e.g. lakehouse reporting data pipelines)
Role & Responsibility Looking for a senior Product Owner with 8 10 years of experience demonstrating strong ownership and proven expertise in Investments and data platforms who can effectively bridge business stakeholders and engineering teams to drive product delivery.
Must Have Skills: Strong ownership mindset - drives scope priorities and delivery end to end Experience working in data platforms / data engineering ecosystems (e.g. lakehouse reporting data pipelines) Solid Investments domain understanding (e.g. fixed income portfolios positions pricing trades) Ability to translate business and data requirements into clear actionable work for engineering teams (artifacts such as data mapping lineage data dictionary) Comfortable managing cross-team dependencies across Investments Finance and Risk Focus on outcomes and closure - able to move work forward in ambiguous fast-moving environments.