Analytics Program Manager

Meta; Menlo Park (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Meta seeks an Analytics Program Manager to drive data initiatives across engineering, data science, and business teams. You will lead complex, global programs, build scalable processes, and provide clear updates to executives. The role requires strategic thinking, execution, and comfort navigating ambiguous environments.

You will coordinate with external vendors, data tool vendors, central product teams, and multiple apps within Meta to deliver measurable impact and ensure resource alignment.

Qualifications

• Bachelor’s degree in a technical, business, or marketing discipline (or equivalent practical experience).
• Experience leading large, cross-functional programs with global teams.
• Proven ability to influence without direct authority across multiple orgs.

Responsibilities

• Lead complex, global programs and drive successful delivery across engineering, data science, and business partners.
• Develop scalable operating rhythms, processes, and governance for data initiatives.
• Communicate program status clearly to executives and stakeholders.
• Partner with external vendors, data tool providers, and central product teams to optimize workflows.

Skills

Project management

People influence

Cross-functional collaboration

Executive communication

Strategic planning

AI tools familiarity

Data-driven decision making

Negotiation

Stakeholder management

Education

Bachelor's degree in technical/business/marketing

Tools

AI tools

Job description

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.

Analytics Program Management drives data initiatives to successful delivery. Using clear communication and cross-functional collaboration, Analytics Program Management understands Meta’s data landscape and builds connections across disparate team members including engineering, data science, and business XFNs to deliver key measurement and insights globally. We drive efficiency, instill process, cultivate relationships, increase knowledge sharing, and facilitate meaningful external collaborations and partnerships. In this role, you will execute project-specific and org-wide programs as well as build & utilize processes to build capacity and efficiently support growing data needs.

The ideal candidate will understand the role of data in product. The person in this role must have excellent execution and follow through skills, the ability to prioritize competing workstreams based on impact, deadlines, and stakeholder needs, and be highly detail-oriented and self-driven. The ideal candidate is entrepreneurial, extremely comfortable navigating ambiguous situations, connects resources and overcomes barriers. This person will also work with external professional services, data tool vendors, central product teams, and various apps within Meta, and is responsible for providing program updates at multiple levels including to executive management. Move to MINIMUM_QUALIFICATION or PREFERRED_QUALIFICATIONS. Success in the role is leading complex programs, developing successful partnerships, delivery against aligned commitments, being recognized as a leader within multiple orgs including multiple product and functional organizations across Meta, and others, and enacting operating rhythm leading to needs and resource alignment.

• 12+ years of experience in a project/program management role with proven people influencing experience, including with virtual and global teams, and proven organizational skills
• Experience in multi-tasking continuously and operating autonomously across multiple teams in a highly flexible, large-scale environment
• Demonstrated critical thinking and analytical planning experience, including experience delivering results in high-pressure, time-sensitive scenarios
• Demonstrated competency with cross-group collaboration, including proven interpersonal skills, relationship building, stakeholder management, and collaboration with a cross-functional, global team
• Proven presentation, and communication experience with key stakeholders including experience aligning priorities and expectations within teams across a very large organization
• Experience negotiating contracts; proven track record of defining and delivering against expectations
• Experience working directly with data scientists, data engineers, software engineers, finance, risk management, and leadership teams
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Bachelor's degree in a technical, business, or marketing discipline (or equivalent practical experience)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)