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Manager Data Science

New Brunswick,NJ

556 Manager Data Science jobs in New Brunswick,NJ

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Associate Director - External Data Acquisition Lead (EDAL)

Genmab

Plainsboro, NJ 08536

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in a relevant technical area; Master's degree preferred.
  • 10+ years of experience in external or clinical data management, with strong third-party vendor oversight and data acquisition experience.
  • Experience working on Oncology trials/data
  • Experience designing and governing DTS and complex data flows supporting EDC integration and CDISC standards (CDASH, SDTM).
  • Strong knowledge of diverse external data types (e.g., biomarker, central lab, imaging, eCOA/ePRO, genomic) and ability to align acquisition strategies to clinical and analytical objectives.
  • Experience managing projects, vendors, and process improvements in global environments.
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Sr Product Manager II, Data Product Management

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

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Director, Data and Analytics - Deal Advisory and Strategy

KPMG

New York, NY 10001

Director - Life Sciences Advisory - Commercial

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New York, NY 10025

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Associate, Electrical - Data Center

JB&B

New York, NY 10041

$122,000-$160,000/yr
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Senior Manager, Machine Learning Engineering

Capital One

New York, NY 10001

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Head of Product Management– Intelligence Ventures

Spectrum Careers

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Quantitative Systems Manager

DV Trading

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L&A Solutions Sales Executive

NTT DATA Americas

New York, NY 10261

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Head of Product Management – Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

  • Bachelor's Degree in Business, Computer Science, Engineering, Economics, or a related field
  • 10+ years Product management leadership experience for data, intelligence, SaaS, or platform products
  • 5+ years Hands-on product leadership, including directly owning products and building or leading a small, senior team
  • Deep expertise in product management for data, intelligence, or platform products built on AI/ML systems, with the ability to turn embeddings, features, and scores into successful commercial offerings
  • Proven success owning the full product lifecycle for technical and business-facing products, including APIs, feeds, SDKs, dashboards, and insights tools
  • Experience building and packaging data products across APIs, feeds, clean rooms, zero-copy platforms, and audience/activation products, with strong commercial and developer-experience instincts
  • Strong product strategy and commercial acumen, including pricing, packaging, tiering, business cases, and prioritizing investments across markets and revenue streams
  • Deep market fluency in adtech, martech, data, measurement, identity, clean rooms, DSPs/SSPs, and retail media, with the ability to translate market feedback into product decisions
  • Skilled at communicating complex AI/ML and data concepts to executives and partners, with a strong grasp of privacy-preserving data products, governance, and regulatory considerations
  • Comfortable as a hands-on, player-coach leader in a lean, early-stage environment, with the ability to build teams, navigate ambiguity, and deliver against ambitious goals
  • Strong interest in agentic AI and emerging intelligence-product interfaces, including AI-ready APIs, retrieval-grounded experiences, and multi-agent workflows
  • Ability to serve as a visionary leader, think strategically, and anticipate future needs and trends with respect to relevant technologies
  • Ability to lead large change, complex projects and initiatives, foster teamwork, and build a strong culture of collaboration
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