Business & Data Analysis Chapter Lead

Responsibilities

• Build and lead a high-performing global Business & Data Analysis chapter, ensuring alignment between business needs, data capabilities, and enterprise standards
• Own and drive standards, methods, and best practices for business and data analysis
• Lead and develop analysts, strengthening quality, consistency, and impact across teams
• Ensure high-quality requirements, mapping, and documentation across domains through formed frameworks
• Drive end-to-end clarity from strategy through to delivery execution
• Support complex analysis and stakeholder alignment across business and IT, while strengthening collaboration in order to unblock delivery when needed
• Ensure alignment and reuse of capabilities across platforms, reducing duplication
• Contribute hands‑on when required to unblock teams and move delivery forward
• Validate and challenge requirements to support domain and enterprise data strategies
• Provide leadership and guidance on business transformation and process optimization efforts
• Build and grow a strong global analyst community through mentoring, capability development, and knowledge sharing
• Collaborate closely with architects, SMEs, and data analysts to ensure cohesive, end-to-end solutions, and provide guidance on business transformation and process optimisation

Requirements

• 7+ years of experience in business analysis and/or data/process mapping, ideally within logistics, supply chain, or enterprise data platforms
• Demonstrated experience leading a chapter, guild, or community of practice — including people leadership, setting standards, and ensuring learnings across teams
• A structured and pragmatic approach to business and data analysis, including requirement management, process and data mapping, and documentation aligned with enterprise standards and target operating models
• Proven ability to define and apply standards, methods, templates, and best practices to ensure consistent and high-quality analysis deliverables
• Strong capabilities in requirement management, including creating clarity, ensuring quality, and maintaining traceability from business need through to delivery
• Hands‑on experience with process mapping and data mapping (e.g. source-to-target flows and data lineage)
• Experience enabling scalable and reusable solutions through structured analysis, documentation, and governance
• Ability to bridge business and technical stakeholders, facilitate workshops, and translate complexity into clear, actionable deliverables
• Experience working in product‑oriented environments applying Agile frameworks (e.g. Scrum, Kanban, SAFe)
• Proven stakeholder management and communication skills in complex global organizations
• Experience driving cross‑domain alignment, dependency management, enterprise‑wide standardization, and collaboration across architecture, engineering, QA, and governance functions in enterprise delivery environments
• Experience working with distributed teams across multiple time zones
• Experience working with Data Products within an Event Driven Data Mesh is a benefit

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