970 Manager Data Platforms jobs in New York,NY

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Sr Dir, Business Operations and Data Governance – Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

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.

Sr Product Manager- Data product management, instrumentation, telemetry

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$148,700-$199,400/yr

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Senior Product Manager - Customer Data Platform

ROKT

New York, NY 10025

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Product Manager - Data Clean Rooms

SAMBA

New York, NY 10025

New, Posted 3 hours ago

Data center site Engineer

Penguin Maintenance and Service

New York, NY 10025

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
In-office position preferably based in New York City
Travel as required for partner engagements, executive meetings, and industry events

SmartExplore AI is experimental.

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