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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in defining product vision and strategy for data infrastructure, with a strong focus on data governance, privacy, and compliance in the advertising ecosystem. Proven ability to manage product roadmaps and collaborate with cross-functional teams to drive data product capabilities.
Highest-signal resume keywords
Product Management ExperienceData Infrastructure ExpertiseAdvertising Data Ecosystem KnowledgeData Privacy and Governance FamiliarityCross-Functional Team Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Lakehouse ArchitectureEvent-Driven SystemsLarge-Scale Distributed Data PipelinesData Accuracy and Quality MetricsData Governance Requirements
Soft Skills
Strategic PlanningRisk MitigationCollaboration
Tools & Technologies
APIsBackend SystemsData Platforms
Industry Keywords
Advertising RegulationsData Sharing ComplianceData Retention Policies
About the role
Key responsibilities & impact- Define the vision, strategy, and roadmap for Ads Data Foundations, including data product capabilities supporting nearly 25 ads teams
- Partner with Ads Product & Technology teams to translate business needs into durable platform investments
- Prioritize and manage the product roadmap, balancing near-term delivery with long-term strategic planning
- Establish requirements and governance for data accuracy, lineage, freshness, access controls, and compliance
- Identify and mitigate risks related to privacy, data sharing, retention, compliance, and data misuse
- Define success metrics for dataset adoption, data quality, system reliability, and downstream business impact
- Become an expert on Netflix's advertising data ecosystem, including low-latency, high-accuracy datasets, privacy, governance, and global advertising regulations
- Work with the Netflix Data Platform team to ensure Ads data platform needs are represented
- Collaborate across engineering, data science, analytics, privacy, legal, sales, and ads product teams
Requirements
What you’ll need- 10+ years of Product Management experience focused on data infrastructure, event-driven systems, warehouse/lake architectures, and large-scale distributed data pipelines
- Demonstrated ability to deliver a comprehensive roadmap and vision for a large-scale data lakehouse, catering to diverse customer groups
- Deep understanding of the advertising data ecosystem
- Familiarity with data privacy and governance
- Proven ability to partner with highly technical teams across APIs, backend systems, and internal tools
- Proven experience working with cross-functional teams, including Data & Insights, Design, Engineering, Data Science, and other Product Teams
- Familiarity with legal compliance and the evolving landscape of advertising regulations worldwide
Benefits
Comp & perks- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
- Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
- Full-time salaried employees are immediately entitled to flexible time off
