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NxT Level

Head of Product Data AI

NxT Level, New York, New York, us, 10261

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Head of Product – Data & AI Platforms

Do you have the skills to fill this role Read the complete details below, and make your application today. Location: Flexible (Remote / Hybrid Options Available) Industry: Technology | Platforms | AI | Data Infrastructure

We’re partnering with a leading technology organization seeking a

seasoned Product Leader

to drive strategy and execution for their

enterprise Data & AI Platforms . This leader will oversee a team of Product Managers responsible for enabling real-time, batch, analytics, and generative AI capabilities at scale—serving engineers, data scientists, analysts, and business stakeholders across the organization.

This is a high-impact, high-ownership role focused on platform enablement, self-service tooling, and generative AI adoption—empowering cross-functional teams to build smarter, faster, and with greater autonomy.

What You’ll Do

Product Strategy & Vision

Define the long-term vision and roadmap for Data & AI Platforms

Align product direction with company-wide platform and technology goals

Drive clarity on product objectives, KPIs, and value outcomes across teams

AI & GenAI Platforms

Lead development and expansion of

Generative AI capabilities , tailoring platform offerings for diverse personas (developers, analysts, data scientists, product teams)

Prioritize high-value GenAI use cases, guide build-vs-buy decisions, and drive internal evangelization and adoption

Data Platform Leadership

Oversee a portfolio of data products, including data lakes, pipelines (batch and real-time), ingestion, processing, quality controls, and governance

Deliver cloud-native platform solutions that operate at scale in a

Google Cloud (GCP)

environment

Stakeholder Collaboration

Partner with Engineering, Data Science, Analytics, and Infrastructure teams to design and deliver best-in-class internal platforms

Serve as a strategic thought partner for executive leadership and department heads across product, engineering, and operations

Team Leadership

Manage and mentor a high-performing team of Product Managers

Cultivate a culture of ownership, collaboration, and continuous learning

Integrate cross-product strategies to ensure scalable platform adoption

Product Marketing & Adoption

Own internal go-to-market strategies for Data & AI tools

Ensure internal teams understand platform capabilities, best practices, and how to extract value

Continuous Improvement

Track product performance using platform KPIs and adoption metrics

Stay informed on industry trends, technologies, and competitive intelligence to continuously refine product offerings

We’d Love to See

7+ years of product management experience, including

3+ years in a leadership role

Proven expertise building and scaling

data or AI platform products , preferably cloud-native

Deep understanding of modern data technologies: streaming, batch pipelines, data lakes, analytical stores, quality frameworks

Familiarity with

GenAI models, tools, and integrations

across enterprise use cases

Hands-on experience with public cloud platforms (GCP, AWS, or Azure), infrastructure tooling, and architecture planning

Strong ability to collaborate with engineers, manage multiple roadmaps, and operate in fast-paced environments

Excellent communication and storytelling abilities, especially when translating technical concepts for non-technical stakeholders

Experience managing multi-sprint backlogs, prioritizing conflicting needs, and delivering incremental platform value

Bonus Experience

Exposure to compliance and governance tooling within data platforms

Experience in multi-tenant platform enablement for both internal and customer-facing teams

Background in platform marketing, internal adoption, or enablement initiatives

Why This Role?

Strategic leadership over one of the company’s most critical technology portfolios

Chance to define the foundation for AI and data product delivery at scale

High autonomy with the ability to shape the roadmap for multiple internal platform products

Competitive compensation and career growth within a high-velocity tech organization

Compensation:

$190,000-$235,000 per year

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