About the job
As we evolve toward an AI-first operating model, we are seeking an experienced leader to reimagine how Business Marketing Audiences and Analytics works at scale. This leader will own the vision and execution for transforming how growth marketing campaign targeting and analysis evolve with AI, while delivering on core KPIs.
Responsibilities
Define and own the long-term strategy for AI-driven growth analytics, and audience management, building organizational alignment around it
Lead and develop a team of marketing analysts and operations specialists, raising the bar on technical rigor, execution quality, and team capability
Evolve how audiences are built, experiments are run, and performance is measured through automation, AI tools, and agentic workflows
Identify and build reusable, scalable capabilities for audience targeting, experimentation, and measurement, reducing manual overhead
Pilot, deploy, and scale AI-native workflows that materially reduce operational overhead and increase experiment throughput
Define governance and risk frameworks for AI systems, including autonomy boundaries, approval flows, audit trails, and measurement integrity safeguards
Inform build vs. buy decisions for AI and automation tooling, balancing capability, speed, privacy, and operational fit
Establish quality standards and measurement frameworks for AI-driven execution, such as velocity, output quality, adoption, and downstream business impact
Partner with leaders and practitioners across engineering, data, and marketing to build the infrastructure and interfaces needed to make automation reliable and production-ready
Represent Ops & Analytics perspectives in broader AI platform and infrastructure discussions across Meta
Act as a strategic advisor to Directors and VPs on AI
Qualifications
Minimum
10+ years in analytics, growth operations, marketing audiences, or data science in complex, large-scale environments
Demonstrated expertise in experimentation, audience targeting, and performance measurement
Hands-on experience applying AI or automation to real operational problems in production
Proven track record scaling operational processes and driving organizational change in ambiguous, cross-functional environments
Clear, direct executive communication
Preferred
Experience architecting or operating agentic systems in a production growth or marketing context
Influence without authority in complex, matrixed orgs
Experience leading teams through significant operating model transitions
Experience working with highly ambiguous problems and building from zero
Experience with privacy, data protection, and ethical considerations in AI-driven marketing
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies