Meta’s Global Media Organization is seeking a Media Strategy and Planning Manager to lead the development and execution of innovative, data-driven media strategies supporting Meta’s Public Affairs priorities, globally. This role will manage a team of media experts, defining clear media strategies, drive rigorous planning and execution, and shaping long-term solutions aligned with business and team objectives.
In this role, they will partner closely with Marketing, Insights, Decision Science, Creative, Policy & Communications,, and external agencies to design and implement sophisticated issue campaigns that advance Meta’s brand narrative through innovative, data-driven paid media strategies. The ideal candidate is a trusted leader with demonstrated cross-channel media expertise, skilled at identifying growth opportunities, building stakeholder alignment, and leading teams to accelerate impact. They are curious about what influences elite audiences globally, adept at navigating audience insights, media trends, and analytics, and excel at translating goals into integrated, data-driven programs. Success requires thriving in a fast-paced, results-driven environment and managing multiple projects simultaneously.
Responsibilities
- Lead integrated channel strategy, planning, and execution for Public Affairs priorities across Meta’s owned and off-platform channels
- Develop media strategies and plans grounded in clear objectives, audience, and marketplace insights to deliver measurable outcomes
- Lead the team to provide thought leadership and strategic analysis to shape go-to-market media and measurement approaches
- Define clear media briefs, including campaign parameters, audience and channel strategies, and testing/ learning agendas
- Leverage quantitative and qualitative insights, measurement models, and programmatic buying to develop, execute, and optimize media strategies
- Maintain and integrate understanding of the evolving media landscape, audience insights, competitive activity, and emerging platforms
- Analyze performance, historical learnings, and business needs to distill actionable insights and optimization strategies
- Partner across Global Media, Marketing, Decision Science, Market Insights, Creative, Communications, MarTech, and Agency teams to deliver integrated, high-impact work and advance capabilities
- Enable connections between cross-functional teams and lead communications on Media priorities to internal teams, agencies, and marketing leadership
- Serve as a domain expert, incorporating industry insights, trends, and best practices
Minimum Qualifications
- 10+ years managing large-scale consumer and/or public affairs campaigns within an agency or client organization
- 2+ years leading an internal media team and collaborating with agency partners
- Demonstrated experience influencing and aligning cross-functional stakeholders to drive timely decisions and execution against shared goals
- Experience using media measurement and analytics to translate data into compelling strategies, perspectives, and optimizations
- Demonstrated track record of leading campaign strategy development and translating strategy into actionable, data-driven plans that improve measurable ROI
- Experience planning and executing integrated, multi-channel strategies and plans, including digital, programmatic, and social
- Experience presenting to executive stakeholders and leadership teams, with a focus on clear, concise communication
- Experience operating in fast-paced, ambiguous environments Experience working closely with creative teams to integrate creative ideas with media strategy and channel selection
- Experience collaborating with data science/analytics teams to shape measurement plans, learning agendas, and advanced testing frameworks (e.g., A/B testing)
- Experience leading media strategy across multiple regions (US, EMEA, LATAM, APAC)
- Background in policy, public affairs, or highly regulated/sensitive cause-based marketing campaigns
- 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