We are seeking an experienced Business Analyst - Data and AI Programs to join the Enterprise Engineering team. In this role, you will partner cross-functionally to solve some of the toughest enterprise data problems, define robust metrics, and drive impact by enabling data-driven decision-making across the organization. You will work closely with engineering, product, analytics, and AI/ML teams to develop scalable solutions, support machine learning initiatives, and help shape how data and AI power Meta’s enterprise systems.As a key member of the Enterprise Engineering organization, you will shape the way Meta uses data and AI to optimize internal platforms, infrastructure, and business processes globally. Your work will directly impact the efficiency, scalability, and intelligence of Meta’s enterprise business operations. You will play a crucial role in delivering data-driven solutions to some of our most complex business and technical challenges, empowering teams across the company to make informed, strategic decisions.

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in a directly related field, or equivalent practical experience
• 5+ years of experience in business/data analysis roles with a focus on enterprise-scale data systems and tooling
• Proficiency in SQL and at least one scripting language such as Python or R
• Experience working with large datasets, distributed data systems (e.g., Hive, Presto, Spark), and data visualization platforms (e.g., Tableau, PowerBI)
• Proven track record of defining and operationalizing metrics/KPIs for complex technical organizations or platforms
• Demonstrated experience supporting AI/ML projects with relevant data analysis and business understanding

PREFERRED QUALIFICATIONS:

• Master’s degree in a related field
• Experience in Corporate IT or internal tooling for large organizations
• Familiarity with data privacy regulations (e.g., GDPR, CCPA) and enterprise data governance
• Robust project management skills and capacity to lead analytics initiatives end-to-end
• Exceptional communication, collaboration, and stakeholder management skills, with the skills to influence and drive consensus

• Complex Problem Solving - Partner with business and engineering teams to resolve hard business issues by leveraging data
• Metric Definition & Governance - Design, implement, and maintain clear and measurable metrics/KPIs aligned with business objectives. Ensure accuracy, consistency, and transparency of data definitions and reporting
• AI/ML Solutioning - Collaborate with data scientists and ML engineers to ideate and bring solutions leveraging AI. AI project lifecycles—including data sourcing, feature engineering, experiment validation, and results interpretation
• Data Analysis & Insights - Analyze large-scale, complex datasets to uncover actionable insights that address critical enterprise challenges and inform strategy
• Cross-Functional Collaboration - Effectively communicate analyses, complex data concepts, and recommendations to technical and non-technical stakeholders across multiple teams. Influence roadmaps and strategic decisions
• Data Modeling & Visualization - Develop and maintain advanced data models, dashboards, and self-serve analytics tools to enable stakeholders to access and interpret business-critical information
• Data Governance & Compliance - Adhere to and champion best practices in data privacy, security, and governance in all analytics activities