Role Purpose

The Senior Manager, Data Architecture & Analytics leads client engagements covering data architecture, modelling, integration, engineering, platforms, statistics and analytics. The role helps organisations move from fragmented data environments to coherent target architectures that support trusted information, interoperability, secure reuse and decision-making. It connects business priorities and governance requirements with implementable technical designs and delivery roadmaps.

The Senior Manager directs architects, engineers, analysts and platform specialists; quality-assures technical deliverables; and facilitates decisions involving business, data, security and technology stakeholders. The role may recommend standards, patterns and solution options, but client architecture approvals and production authority remain with authorised client bodies. The position also ensures that technical work is documented, testable and transferable to client teams, with clear assumptions, dependencies, risks and transition requirements.

Key Responsibilities

Lead architecture, modelling, integration, engineering, platform and analytics workstreams across client engagements. Assess current data landscapes, information flows, platforms, interfaces, data stores, analytical capabilities and technical constraints. Develop architecture principles, current-state and target-state views, transition states and implementation roadmaps. Guide conceptual, logical and physical data modelling and ensure models are connected to business definitions and metadata. Define integration and interoperability patterns covering APIs, exchanges, pipelines, events and controlled data sharing. Evaluate platform and tool options against functional, non-functional, security, operational and cost requirements. Shape analytics, indicator, dashboard and data-product architectures that are traceable to business outcomes and trusted data. Ensure security, privacy, classification, quality, lineage, retention and resilience requirements are incorporated into designs. Facilitate architecture reviews and prepare options, trade-offs and recommendations for client approval. Direct technical teams, establish design quality gates and resolve cross-workstream dependencies or inconsistencies. Review technical specifications, models, interface designs, test evidence and transition plans before client submission. Develop client capability through walkthroughs, design rationale, documentation and structured handover.

Minimum Requirements

Education

Bachelor's degree in computer science, data engineering, information systems or a related field.master's degree preferred. An equivalent combination of relevant education and directly applicable consulting or implementation experience may be considered.

Professional Experience

Typically 10+ years in architecture, data engineering or analytics, including 4+ years in technical leadership. Demonstrated leadership of data-architecture, engineering, integration or analytics programmes in complex organisations. Experience translating business and governance requirements into technical designs and transition roadmaps. Experience managing architects, engineers, analysts, platform specialists and external technology providers. A record of presenting technical options and trade-offs to senior non-technical stakeholders.

Technical and Domain Knowledge

Enterprise and data-architecture methods, principles and governance. Conceptual, logical and physical data modelling. Integration patterns, APIs, data exchange, pipelines and interoperability. Cloud, on-premises and hybrid data-platform concepts. Analytics, reporting, indicator and dashboard architecture. Metadata, lineage, data quality and master-data design considerations. Security, privacy, access, retention, resilience and operational requirements. Technology evaluation, transition planning and technical debt management.

Core Competencies

Enterprise and data architecture. Data modeling. Analytics platforms. Integration patterns. Technical governance. Leadership. Systems thinking. Design governance. Technical judgement. Team leadership. Leading technical discovery and architecture workshops. Explaining complex designs and trade-offs to executive and business audiences. Producing clear architecture documents, roadmaps and decision records. Managing multidisciplinary technical teams and design dependencies. Challenging vendor proposals and validating technical evidence. Balancing strategic target state with realistic implementation constraints. Facilitating client approval without assuming formal architecture authority.

Preferred Certifications

TOGAF Enterprise Architecture Practitioner CDMP Practitioner or Master Cloud data certification

Focus areas

Enterprise and data architecture Data modeling Analytics platforms

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