Manager, Social & Influencer Measurement

Adobe Adobe · Enterprise · San Francisco, CA

Manager, Social & Influencer Measurement to lead how Adobe defines, measures, and optimizes success across Social, Influencer, and Community marketing. Drives full-stack measurement and strategic impact for Adobe’s Social Marketing in Organic, Paid, and Earned channels. Will manage and develop analytics and data science talent, own end-to-end measurement frameworks, and serve as a trusted thought partner to senior marketing leaders. Builds and scales analysis pipelines and data foundations, partnering with Data Engineering. Adopts and champions AI-first workflows (e.g., assisted analysis, synthesis, and reporting) to improve team productivity.

What you'd actually do

  1. Shape how Social and Influencer impact is measured and quantified, how insights are produced at scale, and how those insights translate into confident decisions, actions, and meaningful business outcomes.
  2. Lead and grow a team of analysts and data scientists, setting clear direction, prioritizing the right work, coaching for impact, and building durable systems that scale team effectiveness.
  3. Measure and evaluate end-to-end social-first initiatives (campaigns, announcements, launches, events), establishing reporting and optimization metrics across the funnel.
  4. Translate ambiguous and multi-dimensional signals into structured analysis, developing proxies and heuristics to connect upper-funnel outcomes (reach, attention, engagement, sentiment, influence) to business results (e.g., MAU, LTV, ARR).
  5. Build and scale analysis pipelines and data foundations, partnering with Data Engineering to ensure data quality, metric integrity, and reliable insights at scale; work with large, complex datasets, including text and social conversation data.

Skills

Required

  • Over 3 years managing people, demonstrating success in building, leading, and developing high-performing analytics or advanced data analysis teams.
  • Demonstrated ability to set priorities and expectations, manage tradeoffs, and drive execution in a fast-moving, ambiguous environment.
  • 8–10+ years of experience in marketing analytics, growth analytics, product analytics, or data science, with exposure to social, influencer/creator, or community measurement.
  • Proven judgment solving problems without clear playbooks or ground truth, including non-routine analytical challenges requiring advanced analytical, statistical, or experimental methods.
  • Strong analytical reasoning and comfort working with imperfect, fragmented, or non-attributable data.
  • Ability to understand complex systems and explain them simply to both technical and non-technical audiences.
  • Proven experience influencing senior and executive partners through clarity, structure, and data-driven storytelling.
  • Trusted partner attitude with strong cross-functional instincts in large, matrixed organizations.

Nice to have

  • Experience with influencer/creator platforms, social listening tools, or content analytics
  • Background in brand measurement, sentiment analysis, or community health metrics
  • Experience scaling analytics practices for emerging or rapidly evolving marketing channels

What the JD emphasized

  • AI-first workflows