3626 Manager Data Management jobs in Yonkers,NY

At least 7 years of experience in data engineering, with a minimum of 3 years hands-on experience building and managing Databricks solutions.
Extensive experience with Databricks platform components: Delta Lake, Delta Live Tables, Unity Catalog and Databricks Workflows.
Strong proficiency in Python and/or Scala for data engineering; SQL expertise required.
Strong experience with core data engineering practices including data ingestion, transformation (ETL/ELT), data modeling, and pipeline orchestration.
Experience integrating Databricks with cloud platforms (Azure, AWS, or GCP) and data sources such as Azure Data Factory, Event Hubs, Kafka, or equivalent.
Must work well in a team environment while being a resourceful, independent self-starter able to work effectively with minimal direction.

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Head of Product Management – Intelligence Ventures

Spectrum

New York, NY 10036

~ 24 min 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

SmartExplore AI is experimental.

New, Posted 9 hours ago

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