Sr. Director, Product Management - Data Platforms

Adobe Adobe · Enterprise · San Jose, CA

Senior Director of Product Management to lead product strategy for Adobe’s enterprise Data Platforms portfolio. This role will shape the intelligent data platform powering data collection, governance, activation, and personalization for AI and agentic futures. Responsibilities include defining strategy and roadmap for data collection, ML enablement, agentic development and consumption, and enterprise AI safety. The role requires architecting a scalable, multi-cloud data foundation that is agent-ready, including defining agentic software engineering capabilities and leading agent-ready data access layers with AI safety mechanisms.

What you'd actually do

  1. Craft and champion the long-term product vision and strategy for Adobe’s Data Platforms.
  2. Own a bold multi-year roadmap that dramatically improves reuse, velocity, trust, and leverage across the enterprise.
  3. Identify highest-leverage opportunities, drive decisive prioritization, and translate complex needs into clear direction and measurable metrics.
  4. Partner closely with engineering and architecture leaders to define direction, build prototypes, and ensure scalable technical design.
  5. Define agentic software engineering capabilities that use AI agents to automate pipelines, testing, deployment, and operations.

Skills

Required

  • 10+ years of experience managing products in cloud-native data platforms, AI/ML platforms, analytics, or agentic AI systems
  • Deep exposure to modern lakehouse architectures like Databricks on Azure and AWS or equivalent
  • Hands-on expertise in modern data platform use cases, data engineering, AI development, real-time systems, and agentic practices
  • Proven experience with AI data governance (catalogs, ontologies, lineage, access control, and responsible AI safety frameworks)
  • Strong understanding of modern platform architecture: telemetry, pipelines, observability, metadata, experimentation, agent orchestration, scalable multi-cloud infrastructure, and responsible AI principles
  • A track record of defining and scaling complex technical platforms that deliver meaningful business impact
  • Deep engineering partnership experience on architecture, prototypes, and fast-paced technical development
  • Exceptional executive communication and stakeholder management skills
  • Experience building and developing high-performing product teams and leaders

Nice to have

  • advanced technical education is a plus

What the JD emphasized

  • 10+ years of experience managing products in cloud-native data platforms, AI/ML platforms, analytics, or agentic AI systems is required
  • You must have deep exposure to modern lakehouse architectures like Databricks on Azure and AWS or equivalent
  • Proven experience with AI data governance (catalogs, ontologies, lineage, access control, and responsible AI safety frameworks)
  • Strong understanding of modern platform architecture: telemetry, pipelines, observability, metadata, experimentation, agent orchestration, scalable multi-cloud infrastructure, and responsible AI principles.

Other signals

  • leading product strategy for enterprise data platforms
  • powering the company's AI and agentic future
  • defining the strategy and multi-year roadmap for capabilities spanning data collection, telemetry, foundational lakehouse layers, analytics, machine learning enablement, agentic development workflows, agent consumption, personalization, and enterprise-grade AI safety
  • architect a trusted, scalable, multi-cloud (Azure + AWS) data foundation that is truly agent-ready
  • Define agentic software engineering capabilities that use AI agents to automate pipelines, testing, deployment, and operations
  • Lead agent-ready data access layers — including ontologies, governed catalogs, real-time context, and embedded AI safety mechanisms — so agents can responsibly act on trusted data at scale