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 .
Job Description
You’ll be responsible for overseeing Brambles’ enterprise-wide data foundations programme of work. This role will lead the articulation and adoption of Brambles Data strategy, the program and according works by capabilities outlined in the Data Foundations Proposal, act as the organisation’s subject matter expert, coordinate work across functions, and take accountability for program delivery The role requires coordination across stakeholders in various technology areas including Tech Services and Digital, data and technology capabilities embedded in business lines, plus close working with Legal and Compliance and wider business domains.
You’ll establish Brambles Data strategy framework and scale core foundational data capabilities, drive adoption, act as the subject matter expert, and ensure Brambles meets strategic, operational, and regulatory expectations for data. The person will work with business and technology leaders to deliver the data foundations roadmap and build a sustainable data capability that supports broader business outcomes including analytics, ERP, digital services, and compliance.
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Key Responsibilities May Include:
1. Lead the development, implementation, and scaling of core data management capabilities, including data quality, metadata, master and reference data, content and document management, and data storage and operations.
2. Coordinate delivery of data management activities across business, technology, legal, compliance, and regional teams to ensure consistent standards, controls, and ways of working.
3. Embed data management into major technology and business programmes such as ERP, analytics, and digital services, ensuring data requirements, risks, and dependencies are fully addressed.
4. Establish and maintain data governance processes, including forums, decision‑making structures, and minimum control standards to ensure compliance and accountability.
5. Build and lead multidisciplinary teams responsible for delivering data management improvements, including programme management, analysis, and change enablement.
6. Develop and implement the long‑term operating model for enterprise data management, defining data roles, responsibilities, workflows, and capability uplift across the organisation.
7. Oversee adoption of data management tools and platforms, enabling greater operational efficiency, improved data quality, and consistent data practices across regions and functions.
8. Partner with architecture and technology leaders to define future‑state operational and analytical data models, ensuring alignment with broader transformation strategies and strategic priorities.
Accountabilities
Enterprise Ownership across Data:
9. Strategic leadership across data, including coordination across various data management owners, to ensure effective overall operation
10. Serve as the organisation’s lead across Data Foundations. This role will also lead and / or ensure coordination across the wider Data Ecosystem (per the industry recognised DAMA wheel)..
11. Lead and embed capability for master data management (MDM).
12. Integrate data management requirements into ERP, the analytics operating model, and Digital Customer Services.
13. Ensure central teams deliver consistent processes, standards, and controls.
Leadership and Delivery:
14. Build early-phase capability, run pilots, coordinate proofs of concept, and scale successful models.
15. Lead teams (central teams and business embedded teams) across capabilities owned by Data Foundations, scaling to incorporate wider Data Management areas over time, and coordinating with other accountable owners as appropriate (e.g., Data Security).
16. Establish a long-term operating model for data foundations covering standards, workflows, and controls.
17. Ensure multi-region and global delivery alignment.
18. Drive cross-functional leadership across business, IT, and compliance.
Governance and Decision Making:
19. Support or chair forums including the Data Review Board and Data Management Support Group.
20. Set minimum control standards for (initially) Data Quality, metadata, MDM, and data storage, with other Data Management areas coming into scope as appropriate over time.
21. Define sequencing for critical data assets and capability development.
22. Ensure compliance with policies and external requirements for storage, retention, and access.
23. Work with business leaders to resolve root-cause issues and drive sustainable fixes.
Coordination and Change Leadership:
24. Coordinate delivery across Tech Services, Digital, Legal, Compliance, Finance, and regional I&T teams.
25. Lead programme governance and performance tracking.
26. Oversee change management, adoption, and capability uplift across the organisation.
27. Embed capabilities through regional I&T leads and ensure consistent ways of working.
28. Align support models and handoffs across the enterprise.
People Leadership:
29. Build and lead the programme team including PM, analysts, and change resources.
30. Develop long-term capability plans and staffing models across central and distributed teams.
31. Support talent development across Tech Services, Digital, analytics, and business functions.
32. Provide escalation and leadership support for Stewards, SMEs, and technical owners.
Strategy and Architecture:
33. Establish future-state architecture for operational and analytical data aligned with Brambles’ priorities.
34. Work with Architecture teams to define models for storage, processing, residency, and platform alignment.
35. Support evolution of existing strategic data analytics and data quality technology capabilities Ensure alignment with ERP, analytics, and digital transformation programmes.
Experience
36. Leadership experience in enterprise data management in global or complex environments.
37. Expertise in data quality, metadata, master data management, operational data architecture, and document/content management.
38. Proven ability to scale data management capability across regions.
39. Experience leading multi-disciplinary teams and delivering transformation work.
40. Strong understanding of regulatory expectations for data storage, retention, and access.
41. Experience embedding data management in ERP, analytics, and digital programmes.
42. Ability to lead cross-functional stakeholder groups across business, IT, and compliance, effectively collaborating towards productive positions that advance the overarching data objectives, whilst understanding and accommodating varying needs appropriately.
Skills and Knowledge
Skills:
43. Strong planning and execution skills.
44. Ability to simplify complex issues and drive delivery.
45. Consistent delivery across multiple regions.
46. Proven change leadership and capability uplift.
47. Strong communication with business, technical, and executive audiences.
48. Ability to assess data risk, prioritise critical assets, and drive structured fixes.
49. In-depth understanding of data principles, frameworks, and methodologies.
50. Strong analytical and strategic thinking skills, with the ability to translate business goals into technology initiatives.
51. Excellent communication, presentation, and interpersonal skills.
52. Proficiency in evaluating emerging technologies and industry trends.
Attributes:
53. Big picture thinker with the ability to contextualise individual initiatives and sets of requirements into a connected series of thoughts.
54. Collaborative leader who can motivate and encourage individuals from across teams to operate as a subject matter team for the organisation.
55. Open, honest and transparent in behaviours toward contacts and management such that issues and risks associated to Architectural deficiencies and needs are well articulated and visible.
56. Good networker among peers internal and external to the organisation ensuring multiple perspectives are forged into the Brambles Architecture vision and operation.
57. Outcome oriented with a proactive and collaborative approach to problem-solving and decision-making.
58. Adaptable and able to thrive in a dynamic, fast-paced environment.
Remote Type
Hybrid Remote
Skills to succeed in the role
Coaching, Cross-Functional Collaboration, Data Governance, Data Governance Framework, Data Management, Data Strategies, Disruptive Thinking, Emotional Intelligence, Feedback, Inclusive Leadership, Influencing, Leading Change, Leading Customer Centric Teams, Prioritization, Project Delivery, Simplifying Complex Information, Strategic Planning
We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.