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  • Posted: Jun 17, 2026
    Deadline: Not specified
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  • We help our customers to uncover and manage the valuable pieces of information, so that the people at every level in the organization can make decisions based on proven facts, rather than just gutfeel and emotion. We do this by using our extensive experience in the Business and Data fields, supported by leading software, methodologies and tools. We help y...
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    Data Strategy & AI Transformation Lead

    Role Purpose

    • We are seeking an experienced Data Strategy & AI Transformation Lead to define and shape the future-state data landscape for our client. The role will focus on developing an AI-ready data strategy, improving data integration and governance and enabling advanced analytics, automation and data-driven decision-making across the organisation.
    • The successful candidate will assess the current (“as-is”) data environment and design a future-state data strategy, supported by a phased implementation roadmap that delivers measurable value in the short, medium and long term.

    Key Responsibilities

    • Analyse and document the current (“as-is”) data and system landscape, including data inflows and outflows.
    • Design a future-state AI-enabled data architecture and strategy aligned to business objectives.
    • Identify opportunities to improve data usage, integration, governance and efficiency across systems.
    • Define and articulate data strategy options supporting analytics, automation and AI use cases.
    • Develop a phased implementation roadmap (short-,medium-and long-term) to transition to the target state.
    • Identify and prioritise value-driven use cases to unlock data potential across the department.
    • Ensure alignment between data strategy, business processes, and technology capabilities.
    • Provide strategic input into data governance and data management frameworks.
    • Support the organisation in building a scalable, sustainable and innovation-driven data ecosystem.

    Required Experience & Skills

    • Proven experience in data strategy, data architecture, or enterprise data transformation.
    • Strong understanding of data ecosystems, integration and data flow modelling.
    • Experience designing AI-ready or analytics-enabled data environments.
    • Knowledge of data governance, data management and data quality frameworks.
    • Experience delivering roadmaps and enterprise transformation strategies.
    • Strong stakeholder engagement and communication skills (technical and business).
    • Ability to translate complex data environments into clear strategic direction.
       

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    Method of Application

    Interested and qualified? Go to Praesignis on praesignisinternal.simplify.hr to apply

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