The Rundown AI, Inc.
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.
Business Analyst - Data and AI Programs Responsibilities:
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
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
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
$122,000/year to $177,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. #J-18808-Ljbffr
Business Analyst - Data and AI Programs Responsibilities:
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
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
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
$122,000/year to $177,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. #J-18808-Ljbffr