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The Cocktail

Business Transformation Director Data & AI

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • 8–12+ years of experience in data strategy, analytics transformation, or technology consulting within complex enterprise environments.
  • Proven experience leading data-led transformation programmes, rather than isolated use cases.
  • Strong exposure to enterprise data platforms and ecosystems such as Azure, AWS, GCP, Snowflake, Databricks, Salesforce Data Cloud, or equivalent.
  • Experience integrating data platforms in marketing and CRM ecosystems, including customer data platforms, automation platforms, analytics, and activation tools.
  • Demonstrated experience embedding data and AI into broader transformation initiatives such as digital, CRM, operating model, and customer experience transformation.

Responsibilities

  • Define enterprise data strategies aligned to business growth objectives.
  • Define data product models and governance frameworks in collaboration with Data Architects.
  • Translate strategic ambition into phased, executable roadmaps, including semantic layers, unified customer IDs, next-best actions and decisioning engines, and advanced segmentation.
  • Integrate data and AI into broader transformation programmes, including marketing transformation, CRM modernisation, digital reinvention, and operating model redesign, using a clear business-impact approach.
  • Define how AI, including generative AI and agentic systems, can be embedded into workflows, decisioning, and activation.
  • Contribute to account growth and proposition development by positioning data and AI as strategic enablers of enterprise transformation.
  • Shape data and AI components of transformation roadmaps, proposals and RFP responses, and executive value cases and investment narratives.
  • Connect data foundations to measurable business outcomes, including personalisation at scale, commercial acceleration, and intelligent automation.
  • Collaborate with Marketing, CX, Commerce, and Technology leaders to deliver integrated propositions.
  • Identify expansion opportunities through data evolution and new AI-enabled use cases.
  • Mentor and develop data and AI consultants and managers.
  • Help evolve methodologies, assets, and ways of working.
  • Support recruitment and development of high-quality talent.
  • Promote a culture of collaboration, accountability, and impact.
  • Stay current on AI, generative AI, and advanced analytics trends.
  • Translate innovation into practical, enterprise-ready use cases.
  • Contribute to internal and external thought leadership where appropriate.

About the Company

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Madrid, Spain
Founded
2003

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