Head of Product Data AI - NXT Level : Job Details

Head of Product – Data & AI PlatformsLocation: 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.

• 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

• 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

• 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

• 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