R03 · Senior Manager
Senior Manager, Data Architecture & Analytics
Role purpose
Lead client engagements covering data architecture, modeling, engineering, platforms and analytics, ensuring that recommended designs are scalable, secure, interoperable and implementable.
Key responsibilities
- Deliver QDKC-aligned client work using the official guides, templates and frameworks relevant to the engagement.
- Assess client evidence, facilitate workshops and produce traceable recommendations or implementation deliverables.
- Advise client leaders on architecture, modeling, integration and analytics direction.
- For client engagements, oversee target-state designs, platforms, data products, indicators and dashboards.
- Assess and support client implementation of technical designs align with business priorities, security and national standards.
- For client engagements, govern architecture decisions, design reviews, technical debt and implementation roadmaps.
- Transfer knowledge to client personnel and document decisions, assumptions, dependencies and handover requirements.
- Respect client governance: consultants advise, facilitate and deliver, but do not replace the client's accountable owners, approvers or governance bodies.
Recommended minimum requirements
Education: Bachelor's degree in computer science, data engineering, information systems or a related field; master's degree preferred.
Experience: Typically 10+ years in architecture, data engineering or analytics, including 4+ years in technical leadership.
Core competencies: Enterprise and data architecture, Data modeling, Analytics platforms, Integration patterns, Technical governance, Leadership
Preferred certifications
Preferred, but not mandatory:
- TOGAF Enterprise Architecture Practitioner
- CDMP Practitioner or Master
- Cloud data certification
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