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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Director, Product Management - Data Platforms - **Company:** Adobe Systems - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $255,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Information Engineering, Data Governance, Data Infrastructure, Data Security, Metadata, Cloud Services, Azure Machine Learning, Software Safety, Software Engineering, Real Time Systems, Multi-Agent Systems, Multi-Cloud, Adobe, Data Management, Databricks - **Published:** July 31, 2026 - **Apply:** https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Director--Product-Management---Data-Platforms_R170311 ## About the Role * 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. * 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. * Bachelor's degree or equivalent; advanced technical education is a plus. ## Description Reporting to the Vice President of Data Platforms, this role is ideal for a product leader who thrives at the intersection of deep technical platform strategy, modern AI, and outsized business impact. You will architect a trusted, scalable, multi-cloud (Azure + AWS) data foundation that is truly agent-ready. What You'll Do * Craft and champion the long-term product vision and strategy for Adobe's Data Platforms. * Own a bold multi-year roadmap that dramatically improves reuse, velocity, trust, and leverage across the enterprise. * Identify highest-leverage opportunities, drive decisive prioritization, and translate complex needs into clear direction and measurable metrics. * Partner closely with engineering and architecture leaders to define direction, build prototypes, and ensure scalable technical design. * Collaborate across product, engineering, analytics, and business teams to accelerate adoption and create exponential value. * Design platform capabilities that simplify complexity and make trusted, governed data instantly accessible and actionable. * Represent the product vision with clarity and conviction to senior leaders, balancing innovation, scale, speed, and long-term health. * Build, lead, and develop a high-performing product management team, raising the bar on craft, technical depth, and influence. * 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. ## Related Videos - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [NoCode LiveCode: Leveraging AI Tools to Craft Fully Functional Apps!](https://www.wearedevelopers.com/videos/1169-nocode-livecode-leveraging-ai-tools-to-craft-fully-functional-apps) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)