618 Manager Master Data Management jobs in New York,NY

Apply Directly

Sr Dir, Business Operations and Data Governance – Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

Bachelor's Degree in Business, Finance, Operations, a related field, or equivalent practical experience
10+ Years Business operations, chief-of-staff, strategy-and-operations, or comparable leadership experience
5 years Experience owning budgets and managing cross-functional initiatives or programs
Proven experience running business operations, chief-of-staff, or strategy-and-operations functions for a senior executive or business unit, ideally in a data, technology, media, or platform business
Demonstrated ability to own a budget and partner effectively with Finance, Legal, and Compliance functions — translating between operational reality and enterprise control requirements
Experience standing up or running operational processes in a governance, compliance, privacy-operations, or data-management context — enough fluency to coordinate credibly with Privacy, Legal, and technical teams; deep data-governance subject-matter expertise is a plus, not a prerequisite, as this role operationalizes governance rather than authoring its policy
Strong cross-functional coordination skills, with a track record of defining ways of working and operating cadences across multiple stakeholder organizations and driving alignment without direct authority
Excellent program- and project-management discipline; able to manage a portfolio of concurrent initiatives, keep many workstreams on track, and bring structure to ambiguity
Sound judgment, discretion, and executive presence; trusted to represent leadership, handle sensitive information, and make or escalate decisions appropriately
Strong written and verbal communication skills, with the ability to prepare executive-level materials and facilitate leadership forums
Comfort operating in an ambiguous, early-stage, build-from-scratch environment while delivering against aggressive milestones
Working understanding of the privacy and regulatory landscape governing consumer data is a plus, sufficient to partner credibly with Privacy and Legal

SmartExplore AI is experimental.

New, Posted 1 day ago

Recommended

ResumeLibrary

Investment Accounting Data Analytics and Reporting Manager

MassMutual

New York, NY 10012

Apply Directly

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

SmartExplore AI is experimental.

New, Posted 22 hours ago

Apply Directly

DataBricks Data Engineer

INNOVA

New York, NY 10060

$70-$75/hr

OnsiteHealth InsurancePaid Time OffRetirement Benefit

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.

SmartExplore AI is experimental.

New, Posted 15 hours ago

Recommended