Manager - Data and AI Programs @ Meta
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About the Role
The Manager - Data and AI Programs at Meta will serve as a key data lead on the Enterprise Engineering team. You will partner cross-functionally to solve enterprise data challenges, define robust metrics, and drive data-enabled decisions across teams. Your efforts will support machine learning initiatives and shape how data and AI power Meta’s enterprise systems.
Responsibilities
Data Analysis & Insights: Analyze large-scale, complex datasets to uncover actionable insights and deliver structured reporting.
Metric Definition & Governance: Design, implement, and maintain clear metrics and KPIs aligned with business objectives.
AI/ML Solutioning: Collaborate with data scientists and ML engineers to innovate AI solutions through data sourcing and feature engineering.
Data Modeling & Visualization: Build scalable data infrastructures and develop advanced models, dashboards, and self-serve analytics tools.
Data Governance & Compliance: Uphold best practices in data privacy, security, and governance.
Complex Problem Solving: Partner with engineering and business teams to leverage data to resolve challenges.
Cross-Functional Collaboration: Communicate insights and recommendations to technical and non-technical stakeholders.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 8+ years in business/data analysis roles focusing on enterprise data systems.
- Proficiency in SQL and at least one scripting language (Python or R).
- Experience with large datasets, distributed systems (Hive, Presto, Spark), and data visualization tools (Tableau, PowerBI).
- Track record in defining and operationalizing metrics and supporting AI/ML projects.
Preferred Qualifications
- Master’s degree in a related field.
- Experience in Corporate IT or internal tooling for large organizations.
- Familiarity with data privacy regulations (GDPR, CCPA) and enterprise data governance.
- Proven project management and leadership in analytics initiatives.
About Meta
Meta builds technologies that connect people, empower communities, and enable business growth. As the company behind Facebook, Instagram, Messenger, and WhatsApp, Meta is evolving towards immersive experiences such as augmented and virtual reality, redefining how society connects beyond traditional screens.
Key Skills/Competency
- Data Analysis
- Data Visualization
- SQL
- Python
- AI/ML
- Metrics
- Data Governance
- Cross-functional Collaboration
- Problem Solving
- Reporting
How to Get Hired at Meta
🎯 Tips for Getting Hired
- Customize Your Resume: Highlight enterprise data experience and technical skills.
- Research Meta: Understand their culture, mission, and projects.
- Emphasize Collaboration: Showcase cross-functional teamwork in your application.
- Prepare for Interviews: Practice technical questions on SQL, Python, and AI concepts.
- Follow Up: Send thoughtful emails post-interview.