Data Analytics Project Manager - (CONTRACT)

Purpose

To lead the delivery of enterprise data and analytics programmes, ensuring alignment to business priorities, data governance frameworks, and measurable value realisation across the organisation.

Key Responsibilities

• Programme Delivery and Governance:

• Lead delivery of complex data and analytics programmes across multiple business

• Establish robust governance, reporting, and execution disciplines (RAID, milestones, dependencies).

• Manage delivery across data engineering, BI, and analytics

• Data Platform and Analytics Delivery:

• Oversee implementation of enterprise data platforms, reporting solutions, and advanced analytics use cases.

• Ensure alignment with enterprise architecture, standards, and data

• Stakeholder Engagement and Value Realisation:

• Engage senior stakeholders to define use cases, success measures, and value

• Drive prioritization of high-impact initiatives and track realised business

• Data Governance and Compliance:

• Ensure alignment with data governance frameworks including ownership, quality, and

• Support audit and compliance requirements across reporting and data

• Integration and Architecture Alignment:

• Oversee integration across ERP, operational systems, and external data

• Ensure scalable and sustainable data pipelines and

• Testing, Deployment and Adoption Enablement:

• Ensure validation of data accuracy, reporting outputs, and analytics

• Drive successful deployment and embed analytics into business decision-making

• Post Implementation Support:

Oversee transition to support teams and continuous improvement of analytics solutions.

• Overall Project Management Experience:

• Minimum 5–8 years’ experience delivering enterprise IT or data

• Proven track record managing complex projects across multiple workstreams, stakeholders, and vendors.

• Experience in programme governance, planning, RAID management, milestone tracking, and executive reporting.

• Demonstrated ability to deliver projects in highly governed and audit-sensitive

• Technical Skills:

• Strong understanding of modern data platforms, including Azure Data Platform, Power BI, and data lakes.

• Experience with ERP data environments such as Oracle and SAP, including enterprise integration considerations.

• Knowledge of data, analytics, business intelligence, and reporting solution

• Key Competencies:

• Strong analytical and structured delivery

• Executive stakeholder

• Governance and audit

• Ability to translate business problems into data

• Delivery leadership across complex, multi-stakeholder

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