Mark Gluckman

Director of Sales – Data
Professional Summary:Mark brings more than a decade of experience leading business solution engagements across technology, data, and AI. He specialises in translating complex enterprise data challenges into commercial outcomes, applying a systems thinking approach that considers the people, process, and technology dimensions of every engagement rather than treating them in isolation. Working at the intersection of marketing, digital, and technology stakeholders, Mark shapes and delivers data platform strategies while guiding organisations through the change that adoption demands. He has spent his career building trusted relationships with CMOs, CDOs, and data leaders, and is known for helping teams navigate the human side of transformation as much as the technical. At Anchora, he leads the development of the firm’s data practice, connecting strategic consulting with modern data engineering to help clients unlock measurable value from their data and AI investments.Key Highlights:
  • Leads business solution engagements spanning technology, data, and AI, from strategy through to delivery.
  • Applies a systems thinking approach to problem solving, connecting business objectives, data, and technology into coherent, end-to-end solutions.
  • Brings strong change management skills, helping organisations and their people adopt new platforms, ways of working, and data-driven capability.
  • Bridges marketing and digital stakeholders into the data and technology layer, aligning commercial objectives with platform capability.
  • Builds and nurtures senior relationships across data, marketing, and technology functions to drive long-term client outcomes.
Key Projects:
  • Established and scaled a new enterprise data consulting practice, defining its go-to-market strategy and service offerings.
  • Partnered with marketing and digital teams to reconcile fragmented data and identity across activation platforms, enabling unified customer data strategies.
  • Advised enterprise clients on data platform modernisation, spanning ingestion, transformation, and semantic layer design to support analytics and AI use cases.
  • Led change management for enterprise data adoption, guiding stakeholders through the process and cultural shifts required to realise value from new platforms.

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