2735 Director Of Product Data Platform jobs in New York,NY

New, Posted 3 hours ago

Director - Data Contributions

Blackrock

New York, NY 10025

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

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.

New, Posted 9 hours ago

Sr. Director of Product - AI

Salesforce

New York, NY 10025

New, Posted 15 hours ago

Director, Platform Enablement (4 Positions)

Novartis International AG

East Hanover, NJ 07936

Head of AI Data Science, Intelligence Ventures

Spectrum Careers

New York, NY 10025

New, Posted 15 hours ago

Principal Product Manager - Tech, Fauna

Amazon

New York, NY 10025

New, Posted 2 hours ago

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Principal Product Manager

UVEye

Teaneck, NJ 07666

RemoteHealth InsurancePaid Time OffRetirement Benefit

10+ years proven experience in Product Management and R&D;
Hands-on approach to modern development, including: Modern IDEs & Tools: Proficient with Visual Studio Code and Cursor.
Expert-level use of LLM-based coding agents and AI-assisted development to accelerate prototyping.
AI-Native Workflows: Full-Stack Fundamentals: Strong grasp of both Backend and Frontend architecture to guide technical decision-making.
Advanced experience in product discovery workflows and UX design principles, ensuring a seamless bridge between complex technology and user-centric value.
Revenue-Driven Mindset: Demonstrated ability to translate product features and platform capabilities into measurable business impact and revenue growth.
Exceptional communication skills with the ability to navigate complex stakeholder landscapes, influencing engineers, executives, and external partners without formal authority.
A high-autonomy "owner" mindset, comfortable leading through ambiguity and taking full accountability for end-to-end outcomes.

SmartExplore AI is experimental.

New, Posted 3 hours ago