Enterprise Data Architect

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.

Job Description

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

Measures

• Critical enterprise data flows documented and maintained to support transparency, impact assessment and

• change management.

• Key business data entities, master data domains and associated metadata documented and governed through

• agreed data architecture standards.

• Data architecture supports improved visibility of data quality risks, controls and dependencies across critical

• source systems.

• Reference data information architectures documented and maintained

• Ensure projects and programmes align to the agreed data architecture principles and standards

• Data and information system principles applied and adhered to through technical change

Key Responsibilities

• Develop and maintain enterprise conceptual, logical and physical data models.

• Define architectural standards and patterns for the management of master data, reference data and shared business data assets.

• Partner with business and technology teams to understand the architectural drivers of recurring data quality issues and recommend sustainable design improvements.

• Support the identification of data risks and control weaknesses within source systems and data movement processes.

• Work across technical teams to ensure consistent understanding of key data entities and their lifecycle across the enterprise.

• Drive the development of Brambles Data Architecture in collaboration with the business.

• Documentation of the As-Is data landscape, calling out key risks and recommend mitigations.

• Develop and communicate data architecture standards, information models and classification structures, aligned with enterprise data governance policies and standards.

• Establish priorities and strategies consistent with business goals and economic viability.

• Research options and propose data architecture against technology needs of the organization while including new and emerging technologies.

• Successfully deliver architecture designs across multiple integrated technologies and platforms, in accordance with stage gates, milestones, and business objectives.

Challenges

• Resolve complex architectural issues spanning business processes, applications, integration platforms and data domains.

• Balance enterprise standardisation with legitimate regional, functional and programme requirements.

• Identify root causes of data inconsistency, duplication and quality issues across complex system landscapes.

• Assess architectural trade-offs involving data quality, interoperability, cost, risk and delivery timescales.

• Influence cross-functional decisions where ownership is distributed across business and technology teams.

Experience Requirements

• 5+ years in a data architecture related role, including:

• Designing and implementing data and information solutions including continuous monitoring and improvements to those solutions.

• Development and design of data management best practices and implementation of data principles across the organisation

• Experience addressing data and information architecture considerations across cloud platforms, integration, data management, analytics and business intelligence.

Qualifications

Essential Qualifications

Significant experience in enterprise data architecture within a complex global organisation.

Desirable Qualifications

TOGAF Foundation or Practitioner

• Bachelor's degree in Information Systems, Computer Science, Engineering or related discipline.

• DAMA CDMP.

• DCAM.

• SAP data architecture experience.

Skills and Knowledge

• Must have experience of defining enterprise data and information models

• Understanding of the DAMA Data Management framework and the relationship between data architecture and wider data management capabilities.

• Working knowledge of data management disciplines including data quality, master data, metadata and data lineage.

• Strong understanding of how data architecture influences the quality, consistency and trustworthiness of enterprise data.

• Ability to translate business data challenges into practical architectural designs, standards and recommendations.