Principal Product Manager, Data Intelligence and AI Governance

The Opportunity

Adobe's data platform is built on a set of deeply connected infrastructure products that together form a vertical data intelligence stack. Raw signals are governed and routed at the point of ingestion, enriched and catalogued into curated enterprise definitions, and ultimately transformed into retrieval-ready, agent-optimized knowledge assets. AI agents, self-service analytics, and enterprise decision systems consume the output of this stack every day.

The Principal PM, Data Intelligence & AI Governance owns the strategic direction and implementation for the cross-cutting concerns that make this stack trustworthy and agent-ready: metadata strategy, governance frameworks, data lineage, and the readiness of enterprise data assets for AI consumption. This is not a feature PM role. It is a platform-level position responsible for the quality, coherence, and trustworthiness of data as it moves through each layer of the platform — and for the unified operator experience that makes that trust visible!

What you will own

Metadata Strategy

• Define and drive Adobe's enterprise metadata model — what gets catalogued, how it is structured, what it means, and how it stays current across systems.
• Own the product roadmap for metadata enrichment, normalization, and publication — including benchmark definitions, event schemas, data job lineage, and entity relationships.
• Partner with the Metadata System PM to translate the metadata strategy into prioritized product features and a coherent data model.
• Establish metadata standards that external teams (product analytics, ML, BI) can build on with confidence.

Governance & Agent Readiness

• Own the product definition of 'agent-ready data' — the governance, freshness, lineage, and trust properties
• Define the cross-product impact analysis capability: surfacing what breaks across the full stack when an event schema changes, a benchmark definition is updated, or a knowledge entity is deprecated.
• Develop and drive the agent readiness scoring model: a composite, per-agent health score that spans signal quality, metadata integrity, and knowledge freshness.
• Define the HITL (human-in-the-loop) governance framework across products — what triggers a human review, who reviews it, and how corrections propagate downstream.
• Partner with individual product teams to ensure retrieval APIs, MCP integrations, and embedding pipelines are built on governed, trustworthy foundations.

Unified Console & Operator Experience

• Drive the product strategy for a unified operator console that spans across multiple systems— replacing separate registry UIs with a single, coherent governance and observability surface.
• Define the cross-layer views that operators need: dependency graphs, freshness dashboards, agent readiness panels, and HITL correction workflows. 

What we are looking for

Required

• 10+ years of product management experience, with at least 3 years in data platform, data infrastructure, or enterprise data products.
• Bachelor's degree in Computer Science, Engineering, or a related field
• Demonstrated experience owning a data governance, metadata, or data quality product — not just participating in one.
• Deep familiarity with the AI/ML data lifecycle: how models consume data, what makes data 'agent-ready,' and where trust breaks down in practice.
• Ability to write engineering PRDs that translate complex technical systems into clear user problems, prioritized features, and measurable outcomes.
• Ability to design quick prototypes through vibe-coding (preferably Claude code)
• Track record of driving cross-functional alignment across engineering, data science, and platform teams without direct authority.
• Strong systems thinking — able to reason about a data platform as a causal chain, not a collection of independent features.

Preferred

• Experience with event streaming, schema registries, or data pipeline governance (e.g. Kafka, Databricks, Unity Catalog).
• Familiarity with knowledge graph concepts, embedding pipelines, or retrieval-augmented generation (RAG) architectures, MCP server, Skills
• Prior exposure to HITL (human-in-the-loop) quality and correction workflows in production data systems.
• Experience building or operating a unified data catalog — knowledge of tools like Open Metadata, Amundsen, DataHub, Atlan or equivalent.
• Background in a platform PM role with multiple upstream/downstream product dependencies.

What sets apart the best candidates

• You understand what 'trustworthy AI data' means at the enterprise level. You can communicate this to engineers and executives.
• You are comfortable with ambiguity regarding the overall product vision but detailed at the specification level.
• You have seen governance done badly — and you know exactly what to do differently.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. 

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call +1 408-536-3015. 

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

 

Expected Pay Range:

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $134,400 -- $253,900 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

 

In California, the pay range for this position is $175,300 - $253,900

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.  Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.