Enterprise Data Architect

Location: London, England, United Kingdom

CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact.

What does that mean for you? You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You’ll help change how goods get to market and contribute to global sustainability. You’ll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model.

Responsible for defining and developing data architecture models and their lower-level components.

Contribute to and enable the delivery of Brambles' enterprise data strategy through development of target

data architecture, information models and architectural roadmaps.

Develop and maintain enterprise data architecture principles, standards, patterns and reference models.

Support the creation of trusted data through effective data architecture, with a focus on understanding how

data is created, managed and consumed across critical business processes.

Drive architectural understanding of master data, metadata, data lineage and enterprise data flows to support

business decision making and operational effectiveness.

Act as the lead data architect on critical programmes, engaging with a range of stakeholders and partnering

with the Architecture Community

Key Responsibilities May Include

• Lead and recommend the development of global standard core business system and data processes, ensuring the overall design is robust, coherent, and meets the future Brambles Operating Model.
• Drive the development of Brambles Data Architecture in collaboration with the business.
• Document the As-Is data landscape, identifying key risks and recommending mitigations.
• Develop and communicate data standards and data models to facilitate the classification of all data elements.
• Analyse technology industry and market trends, focusing on developments in data analytics, machine learning, artificial intelligence, mobile, and cloud agile technologies, and determine potential impact on the enterprise.
• Develop future-proof data architecture designs for complex enterprise software.
• Establish priorities and strategies consistent with business goals and economic viability.
• Research options and propose data architecture solutions against the technology needs of the organisation, including new and emerging technologies.
• Enterprise Data Architect – Manchester, London, Poland or Prague
• Additional Locations: Warsaw, Mazowieckie, Poland, Weybridge, Addlestone, United Kingdom, Prague, Prague, Czechia