Global Data Lead - UK Remote or Cardiff Hybrid

Datatech Analytics

Cardiff

Hybride

GBP 108 000 - 132 000

Plein temps

14 jours+

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Résumé du poste

Datatech Analytics is seeking a Global Data Lead to define and deliver the data strategy, building a central data office that treats data as a strategic asset.

In this senior, cross-functional role you will own data architecture, governance and reporting, lead a global data function, and partner with stakeholders to scale data capabilities while keeping data literacy and evidence-based decision making at the core.

Qualifications

  • Proven experience owning enterprise data architecture.
  • Cloud knowledge (AWS and/or Azure) and Microsoft Fabric.
  • Strong track record establishing and owning data governance frameworks.
  • Experience owning operational / business reporting and tooling (Power BI, Sisense), including customer-facing reporting solutions.
  • Demonstrated success building, leading and scaling multi-disciplinary data teams across more than one discipline.
  • Commercial acumen to position governed data as a strategic asset and prioritise high-value use cases.
  • Strong vendor and stakeholder management skills.
  • Exceptional communication skills, and a relevant degree in a data, technology or analytical discipline, or equivalent professional experience.
  • Above all be a Data Evangelist!

Responsabilités

  • Own the target data architecture, governance and reporting direction.
  • Build and lead a high-performing, multi-disciplinary data function.
  • Scale data capabilities across a global organisation.
  • Partner with stakeholders and manage key suppliers.
  • Embed a culture of data literacy and evidence-based decision-making.

Connaissances

Enterprise data architecture
Cloud knowledge
Data governance
Stakeholder management

Formation

Degree in data/tech/analytical discipline

Outils

Power BI
Sisense

Description du poste

Global Data Lead

Remote UK (hybrid possible from Cardiff or London)

Negotiable dependent on experience to £120,000

Direct Reports: Yes (team to be scaled - architecture, governance & reporting)

Job Reference - J13175

Our client is seeking a Global Data Lead to support the definition and delivery of the company's data strategy and to build the central data office that positions data as a strategic asset for the business. This is a senior, cross-functional leadership role that pairs strategic vision with hands-on ownership of data architecture, governance and reporting direction.

Reporting to the VP - Data & AI, you will set the long-term vision for how they collect, manage, govern and derive value from data held in their product. You will own the target data architecture, establish enterprise-wide data governance, and shape their approach to reporting - while managing key suppliers and partnering with stakeholders at every level of the business.

You will build and lead a high-performing, multi-disciplinary data function, embedding a culture of data literacy and evidence-based decision-making across a global organisation. Your work will directly support their mission to help their clients and contractors get to work faster, stay compliant, and come home safely every day.

Key Areas of Responsibility
  • Data Architecture & Standards
  • Data Governance, Quality & Compliance
  • Reporting
  • Team Leadership
  • Supplier & Stakeholder Management
Requirements
  • Proven experience owning enterprise data architecture
  • Cloud knowledge (AWS and/or Azure) and Microsoft Fabric
  • Strong track record establishing and owning data governance frameworks
  • Experience owning operational / business reporting and tooling (e.g., Power BI, Sisense), including customer-facing reporting solutions
  • Demonstrated success building, leading and scaling multi-disciplinary data teams across more than one discipline
  • Commercial acumen to position governed data as a strategic asset and prioritise high-value use cases
  • Strong vendor and stakeholder management skills
  • Exceptional communication skills, and a relevant degree in a data, technology or analytical discipline, or equivalent professional experience
  • Above all be a Data Evangelist!
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