Data Marketplace Product Manager (AI-Ready Data)

Archer

USA

Vor Ort

USD 140.000 - 190.000

Vollzeit

vor 25 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

BlackRock is seeking a Data Product Manager to define, deliver, and drive adoption of marketplace capabilities within the Aladdin Data ecosystem. You will partner with product, engineering, operations, risk, compliance, and business stakeholders to deliver scalable data solutions.

This role focuses on onboarding, governance, discovery, access, quality, and reusable data products, enabling AI-ready data and trusted data across Technology & Operations.

Qualifikationen

  • Bachelor’s degree in technology, data, business, or related field.
  • Proven experience leading data product management in enterprise environments.
  • Experience delivering enterprise data products and governance initiatives.
  • Strong SQL and data analysis skills.
  • Excellent communication and stakeholder management.

Aufgaben

  • Define vision, strategy, and roadmap for Data Marketplace capabilities.
  • Translate requirements into product features and measurable outcomes.
  • Own and prioritize product backlog based on user needs and value.
  • Collaborate with product, engineering, risk, compliance, and business teams.
  • Drive adoption through onboarding, documentation, and demonstrations.
  • Support AI-ready data, governance, and scalable data ecosystem.

Kenntnisse

Data product management
Stakeholder management
Agile delivery
SQL
Communication

Ausbildung

Bachelor’s degree in technology, data, business, or related field

Tools

Aha!
Azure DevOps
Jira

Jobbeschreibung

BlackRock is seeking a Data Product Manager to define, deliver, and drive adoption of marketplace capabilities within the Aladdin Data ecosystem. You will partner with product, engineering, operations, risk, compliance, and business stakeholders to deliver scalable data solutions.

This role focuses on onboarding, governance, discovery, access, quality, and reusable data products, enabling AI-ready data and trusted data across Technology & Operations.

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