Staff Product Manager, Data Flows and Governance

Who We're Looking For 

We're looking for a technically sharp, cross-functional Staff Product Manager to own how data flows, gets cataloged, and stays governed across TTD's platform. This is a high-impact role sitting at the intersection of internal data access, metadata infrastructure, and compliance, ensuring the right people can access the right data. You bring structure and clarity to complex, cross-functional data problems and know how to move engineering and business stakeholders toward the same page. 

You're the right candidate if you: 

• Know what it takes to build a data catalog that engineers actually use and a schema registry that doesn't break downstream pipelines 

• Understand how GDPR, CCPA, CPRA, and emerging privacy frameworks translate into concrete product requirements, not as an afterthought, but as a foundation 

• Have working knowledge of Unity Catalog and other catalog-based use cases to enable more efficient internal workflows 

• Think carefully about internal data entitlements, who should have access, under what conditions, and how that holds up against contractual and compliance obligations 

What You'll Be Doing 

Data Catalog & Governance 

• Own the product roadmap for schema evolution and versioning, ensuring backward and forward compatibility without breaking downstream applications or pipelines 

• Define requirements for drift detection tooling that monitors real-time schema changes across unstructured and semi-structured data inputs 

• Build the semantic mapping layer linking technical schema columns to business terms in a centralized data glossary, including classification of fields carrying privacy or regulatory sensitivity 

• Define requirements for column-level lineage tracking from source files through transformations to specific report elements 

• Own the strategy for tagging TTD's data assets to enable discoverability, access control, and downstream activation 

• Define the data asset taxonomy and classification framework, including tags for PII, sensitive data categories, consent scope, and regulatory jurisdiction, in partnership with engineering, data science, legal, and privacy teams 

• Drive platformization of TTD's data assets so they are consistently inventoried, annotated, and accessible across teams and environments, with privacy constraints embedded at the asset level 

Internal Data Access & Entitlements 

• Own the product vision for how TTD employees and internal workflow developers access data assets in a way that is compliant with contractual obligations, data use agreements, and platform policy 

• Define access control requirements across internal tooling and data environments, ensuring entitlements are granular, auditable, and enforceable 

• Partner with Legal, Privacy, and Engineering to operationalize data use constraints into tooling rather than manual review processes 

• Identify and close gaps where internal data access outpaces governance coverage, working cross-functionally to bring those surfaces into compliance 

Cross-Functional Leadership 

• Lead alignment across data engineering, data science, legal, privacy, security, and platform product teams on governance standards, tooling, and roadmap priorities 

• Translate complex data architecture and compliance decisions into clear narratives for senior leadership and non-technical stakeholders 

• Act as the internal authority on data cataloging, metadata best practices, and privacy operationalization across TTD's hybrid cloud and on-premises environments 

What You Bring to the Table 

• 6+ years of product management experience focused on data platforms, data governance, regulatory compliance, or closely related domains in a complex software or adtech environment 

• Hands-on working knowledge of modern data catalog and metadata management tools and what it takes to build or adopt them at scale 

• Deep understanding of schema management: versioning, evolution, drift detection, and semantic mapping between technical schemas and business glossaries 

• Strong working knowledge of GDPR, CCPA, CPRA, and emerging privacy frameworks, with demonstrated experience translating regulatory requirements into data product and infrastructure requirements 

• Technical fluency across data infrastructure: distributed data pipelines, event-driven systems, data modeling, API design, and access control models 

• Experience building products on or alongside Databricks (Unity Catalog, Delta Lake), Vertica, Snowflake, or equivalent large-scale data platforms, with comfort navigating tradeoffs across cloud and on-premises environments 

• Proven ability to drive cross-functional alignment across engineering, data science, legal, privacy, and business stakeholders in ambiguous, fast-moving environments 

• Exceptional communication skills: able to translate data infrastructure complexity and regulatory constraints into business narratives, and vice versa 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.