Head of Product - Data & AI

NxT Level

Head of Product - Data & AI

New York, NY
Full Time
Paid
  • Responsibilities

    Head of Product – Data & AI Platforms
    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