Lensys
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Data Program Director

Lead a high-visibility data transformation across a global terminal and logistics network, turning fragmented data into trusted, scalable business capability. You will align executives, IT, operations, and external partners around a roadmap that makes data availability, quality, governance, and value measurable.

CONTEXT

Our client, a major player in its sector, is navigating one of the most complex operational landscapes in global trade. Its terminals, logistics hubs, and regional entities generate vast amounts of data every day, but that data is often fragmented across legacy systems, local processes, and partner interfaces. The organization has launched a strategic, board-visible data transformation program to turn this complexity into a decisive advantage. The mission is not merely to deploy technology; it is to create a scalable data operating model that improves availability, quality, integration, governance, and measurable business value. As Data Program Director, you will be the connective tissue between business leaders, IT, terminal operations, Group functions, and external partners.

ACTIVITIES

  • Define and own the program vision, roadmap, governance model, and value case.
  • Lead cross-functional teams across business, IT, terminals, Group functions, and external vendors.
  • Establish scalable capabilities for data availability, quality, integration, governance, and analytics.
  • Drive executive alignment and communicate progress, risks, and trade-offs to senior stakeholders.
  • Shape data policies, standards, and operating rhythms that balance local needs with global consistency.
  • Manage budgets, vendor relationships, dependencies, and delivery risks across multiple workstreams.
  • Champion a data-driven culture and ensure benefits are tracked from pilot to production.

EXPECTED ACHIEVEMENTS

  • A unified data operating model that makes trusted data accessible across terminals and functions.
  • Measurable improvements in data availability, quality, integration, and governance maturity.
  • A scalable platform and delivery organization ready for future data and AI use cases.
  • Clear business value from prioritized data initiatives, with benefits realized and reported.
  • Stronger collaboration between business, IT, operations, and external partners.

ENVIRONMENT

  • Cloud data platforms, data warehouses, lakehouses, ETL/ELT pipelines, APIs, and integration layers.
  • Data governance, catalog, quality, lineage, and master data management tools.
  • Program management methods such as Agile, SAFe, PMO, and stage-gate governance.
  • Executive stakeholder landscape spanning global trade, terminal operations, finance, legal, and technology.
  • A fast-moving, international context where data is treated as a strategic asset.