Global Director Of Social Data (AI)

TL;DR

Global Director of Social Data (AI): Building a global social media measurement framework and infrastructure for an in-house agency ecosystem with an accent on AI-driven analytics, social listening, and predictive modeling. Focus on scaling data capabilities across international studios, advising senior stakeholders, and translating complex social trends into actionable business intelligence.

Location: London, UK (Hybrid role)

Company

hirify.global is a global specialist in building bespoke in-house agencies and marketing ecosystems, leveraging AI technology to drive creativity and efficiency for over 300 clients worldwide.

What you will do

• Define the global vision for social media measurement, connecting social activity to business outcomes.
• Design and implement a unified global measurement infrastructure and social performance dashboarding product.
• Lead the evaluation and management of the social analytics tech stack, including social listening and visualization tools.
• Integrate AI and machine learning into analytics workflows to automate processes and enable predictive modeling.
• Act as a strategic advisor to senior clients, presenting complex data narratives that influence business decisions.
• Recruit, mentor, and lead a high-impact global team of social data analysts.

Requirements

• 7-10+ years of experience in social media analytics or digital measurement.
• Expertise in major social platforms including TikTok, Instagram, Facebook, YouTube, Twitter/X, and Snapchat.
• Proven ability to build measurement frameworks, attribution models, and success metrics.
• Advanced proficiency with data visualization tools such as Tableau, Looker, or Power BI.
• Experience with social listening tools like Sprinklr, Brandwatch, Talkwalker, or Pulsar.
• Must be based in or able to commute to London for a hybrid work model.

Culture & Benefits

• Innovative environment focused on the intersection of AI technology and creative output.
• Opportunities to define global strategy and build analytics practices from the ground up.
• Collaborative, cross-functional work culture involving creative, strategy, and technology teams.
• Commitment to an inclusive and diverse working environment.
• Focus on sustainability with science-based environmental goals.