Data Domain Lead (Supply Chain & Sales)

Data Product Lead (Supply Chain & Sales Analytics)

Our client is seeking an experienced Data Product Lead to drive the design and delivery of enterprise-scale analytical data assets that support reporting, analytics, and business decision-making across Supply Chain and Sales functions.

This is a highly visible role focused on transforming complex data landscapes into scalable, reusable solutions that enable consistent reporting and analytics across global and regional business teams. The successful candidate will work closely with business and technical stakeholders to modernise existing data models, establish robust data foundations, and ensure alignment with data governance and architecture standards.

Contract: 6 months (expected to extend)

Working location: Remote

Key Responsibilities

• Lead the design and implementation of reusable analytical data assets that support multiple business domains, including Supply Chain, Demand Planning, and Sales.
• Redesign and modernise Legacy data models to support evolving business requirements and new source systems.
• Establish scalable, source-agnostic data structures that can be consumed by reporting and analytics teams across markets and regions.
• Partner with business stakeholders, data engineers, architects, and product teams to define and deliver strategic data solutions.
• Drive consistency in business metrics, definitions, and reporting standards across the organisation.
• Create and maintain data contracts, model standards, governance documentation, and service-level expectations.
• Support downstream analytics teams by providing technical documentation, semantic definitions, release guidance, and adoption frameworks.
• Ensure all solutions align with enterprise architecture principles, governance frameworks, and data quality standards.
• Contribute to product roadmap planning and delivery within an Agile environment.

Key Deliverables

• Enterprise analytical data models designed for reuse across multiple business functions.
• Modernised target-state data architecture and migration plans for existing reporting solutions.
• New data assets supporting advanced reporting and analytics capabilities across regional and global teams.
• Data governance artefacts, standards, integration specifications, and approved business definitions.
• Documentation and enablement materials to accelerate adoption by analytics and reporting teams.

Required Skills & Experience

• Strong experience in data modelling, data integration, and modern data engineering practices.
• Deep understanding of Supply Chain data and business processes.
• Knowledge of Sales and/or Finance data domains would be advantageous.
• Advanced SQL skills and experience working with Python and/or PySpark.
• Experience designing and supporting large-scale data platforms and ETL/ELT solutions.
• Strong understanding of cloud-based data environments and modern analytics architectures.
• Experience working with data governance, data quality, security, and compliance frameworks.
• Proven ability to operate as both a technical leader and stakeholder-facing product owner.
• Experience working within Agile delivery environments.
• Familiarity with DevOps practices including CI/CD pipelines, automated testing, and release management.

Technology Environment

Microsoft Azure Data Platform, Azure Data Lake, Power BI, SQL, Python/PySpark, Modern Data Engineering & DevOps Tooling

Click on the apply button or reach out directly. We'd be happy to discuss the opportunity in more detail.

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