Media Manager
Meta, City of Westminster
Media Manager
Salary not available. View on company website.
Meta, City of Westminster
- Full time
- Permanent
- Onsite working
Posted 1 week ago, 4 Sep | Get your application in now before you miss out!
Closing date: Closing date not specified
Job ref: b264b9b1288148a1b31af3d5c7040074
Location ref: City of Westminster
Full Job Description
Meta Reality Labs is looking for a Strategic Media Manager, to join Meta's Global Media Team The team is responsible for media strategy, planning, and execution stewardship. This role will be responsible for the development of integrated media channel plans and will partner with Insights & Analytics, Decision Science, Creative, Policy & Communications, and Partnerships teams, to devise and execute issue campaigns that deliver our brand narrative through effective and innovative media strategies and plans. The ideal candidate will build strong partnerships with colleagues, translate goals into successful, integrated, data-driven programs, and navigate the intersection of multiple channels and media partners. We are looking for someone who sees patterns that others don't, who pushes for innovation, and can orchestrate media to be as impactful as possible., 1. Develop measurable media plans that are grounded in objectives and audience insights, and deliver innovation and business outcomes
2. Leverage quantitative and qualitative insights to influence the audience and media approach and inform tactical planning, execution, and optimization
3. Serve as a subject matter expert, developing work that incorporates industry innovation, planning, and measurement best practices, across digital and traditional channels
4. Build strong working relationships and drive influence with cross-functional partners across marketing, decision science, insights & creative teams to develop fully integrated works
5. Partner with an external media agency, and the Global Media team to drive cohesive media planning and execution around the globe
6. Manage multiple media work streams and deliverables to ensure high-quality, on-time campaign planning and execution, working in close coordination across internal and external teams
7. Analyze campaign performance against core media KPIs and martech insights, and develop takeaways and recommendations for ongoing campaign optimization and reporting
8. 8+ years of experience in media planning, either within an agency or within a client organization
9. Experience working on multiple international markets (EMEA and/or LATAM)
10. Proven track record in building strong relationships, navigating cross-functional teams and presenting to stakeholders and leadership
11. Proven experience in measurement, analytics, and in gathering audience insights and using those to tell a compelling story
12. Experience in managing the development of full-funnel media strategies
13. Experience tracking and applying trends impacting media, measurement, and analytics to inform planning decisions
14. Experience in planning and executing multi-channel media campaigns and working in data-driven environments
15. Experience identifying opportunities for campaign optimization, as well as audience segmentation, based on findings from data and external research
Preferred Qualifications:
Preferred Qualifications:
16. Experience working in a fast-paced, ambiguous environment
17. Experience working directly with a creative team to marry creative ideas/strategy with media strategy and channel selection
18. Experience working across the digital media ecosystem, including programmatic, social, search, and display channels and how and where analytics can drive decision-making - the ability to shape campaign strategies and translate them into actionable plans with an eye toward data-driven strategies with measurable ROI
19. Experience managing a media agency
20. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
21. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
22. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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