Data Platform Manager

Job Summary

Reporting to the Enterprise Systems Manager, the Data Platform Manager will be accountable for the strategy, governance, performance and continuous development of CWG’s enterprise data platform.

The role will ensure that Microsoft Fabric and associated data technologies provide trusted, secure, scalable and well‑governed data capabilities that support business intelligence, analytics, digital products, enterprise applications and future AI‑enabled opportunities.

• Department: Technology
• Company: Canary Wharf Limited
• Reporting to: Director - Technology
• Working Pattern: Hybrid (4 days onsite, 1 day working remote)
• Main Responsibilities
• Own and maintain the strategic roadmap for CWG’s enterprise data platform, ensuring Microsoft Fabric and associated technologies are aligned to business priorities, enterprise architecture and long‑term digital objectives.
• Define, implement and continuously improve enterprise data platform standards, patterns and principles covering architecture, governance, data quality, metadata, semantic consistency, reuse and service operation.
• Act as the primary technology owner for the enterprise data platform, ensuring services are secure, scalable, resilient, supportable and fit for current and future business requirements.
• Establish and maintain data governance frameworks in partnership with business owners, Information Security and Technology teams, ensuring data ownership, access controls, quality, lineage, retention and compliance obligations are clearly defined and managed.
• Work with Enterprise Systems, Digital and Data Engineering and business stakeholders to ensure data from core platforms and operational systems is integrated in a controlled, reusable and business‑aligned way.
• Partner with senior stakeholders to understand reporting, analytics and data product requirements, challenge demand constructively and ensure platform activity is prioritised against business value, risk and strategic importance.
• Provide platform ownership, standards and technical assurance for Microsoft Fabric and associated data services, ensuring architecture, workspace management, performance, administration and operational controls are clearly defined and aligned with the Data Engineering team’s delivery responsibilities.
• Ensure enterprise data models and shared datasets are designed to support trusted business intelligence, self‑service analytics, automation, digital products and future AI use cases.
• Manage platform risks, issues, dependencies and technical debt, ensuring appropriate controls, remediation plans and escalation routes are in place.
• Manage vendor, partner and Microsoft relationships where required, ensuring suppliers are held to account for delivery quality, service performance, roadmap alignment, commercial value and adherence to CWG standards.
• Develop and maintain management information on platform health, usage, performance, data quality, delivery progress, risks, adoption and benefits realised from data platform investment.
• Support business cases, investment proposals and technology governance submissions relating to data platform capability, tooling, licensing, capacity, security or material platform change.
• Provide platform‑level guidance, review and assurance across Technology to ensure data solutions align with agreed standards, remain supportable and avoid unnecessary duplication of capability.
• Ensure the enterprise data platform operates in line with CWG policies, Information Security standards, cyber security requirements, data protection obligations and relevant legislative compliance.

Qualifications

• Significant experience managing, developing or technically leading enterprise data platforms, data engineering services or analytics platforms within a complex organisation.
• Strong technical understanding of Microsoft Fabric, Power BI, data lakehouse architecture, data pipelines, data modelling, semantic models, integration patterns and modern cloud data platforms.
• Proven ability to define data platform roadmaps, technical standards and governance frameworks that align technology capability to business priorities and measurable outcomes.
• Experience establishing data governance practices including data ownership, access management, data quality, lineage, metadata, retention, privacy and security controls.
• Strong understanding of enterprise applications, integration approaches and data flows across ERP, CRM, HR, property, finance, operational and customer‑facing systems.
• Ability to translate complex data and technical concepts into clear business language, recommendations and decision‑ready information for technical and non‑technical stakeholders.
• Excellent stakeholder engagement skills, with the confidence to influence senior leaders, challenge demand constructively and build trusted relationships across Technology and the wider business.
• Experience managing vendors, implementation partners or managed service providers, including delivery assurance, service performance, commercial challenge and roadmap alignment.
• Strong risk management mindset, with the ability to identify technical, security, compliance, performance and data quality risks early and ensure mitigations are owned and progressed.
• Practical experience of data engineering lifecycle management, including requirements analysis, solution design, development standards, testing, deployment, monitoring and support transition.
• Commercially aware and outcome‑led, with the ability to prioritise platform activity based on business value, cost, risk, capacity and long‑term strategic fit.
• Highly organised, analytical and pragmatic, with strong attention to detail and the ability to create structure, standards and momentum in an evolving data environment.
• Collaborative, improvement‑focused and accountable, demonstrating behaviours aligned to CWG values including ownership, integrity, innovation, service quality and commitment to delivering high‑quality business outcomes.

Benefits

• Flexible working arrangements.
• Learning and development support including classroom and e‑learning training, mentoring and cross‑department experience.
• Comprehensive benefits package: pension, insurance, subsidised gym membership, store discounts and family leave.
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