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A financial institution with a significant regional footprint is looking for a senior data leader to take the helm of its enterprise data platform — a role that sits at the heart of the organisation's broader data and AI ambitions.
This is a rare opportunity to shape both the strategic direction and day-to-day reality of a cloud-based data platform, working at the intersection of technology, governance, and business transformation. You will be as comfortable whiteboarding architecture with engineers as you are presenting roadmaps to senior leadership
.
The Ro
leYou will own the data platform agenda — from defining how data is ingested, curated, and made available for consumption, to ensuring the platform operates within a robust governance framework. This is not a purely strategic seat; delivery accountability is central, and you will be expected to lead complex, multi-market programmes with both rigour and pac
e.
A key part of the mandate is embedding governance into the platform itself — not as an afterthought, but as a design principle that spans data quality, discoverability, and trust. You will also define the conceptual data models and standards that allow the organisation to treat data as a reusable, enterprise-wide ass
et.
Working closely with architecture and engineering counterparts, you will ensure the platform scales to support analytics, AI, and regulatory reporting needs across the reg
ion.
What You
Job ID: 150110741
Skills:
Power Bi, Excel, Operational judgement, Vendor management, Monitoring reporting systems, Escalation protocols, Governance frameworks, Data analysis tools
Skills:
Predictive Modelling, Ml, Advanced Analytics, Power Bi, Tableau, Sql, Cybersecurity, Data Governance, Python, Privacy, Ai, Regulatory Requirements, R, data visualization techniques
Skills:
Data Quality, Data Lineage, Data Transformation, Databricks, master reference data, Azure-based platforms, cloud data ecosystems, governance tools, data cataloguing, data platform engineering
Skills:
It Operations, Data Governance, service delivery, Cybersecurity, Enterprise Architecture, infrastructure operations
Skills:
Containers, MLops, AWS, Data Architecture, Kubernetes, Azure, Gcp, Enterprise Architecture, cloud platforms, modern data platforms, Lakehouse, reproducibility, model registry, cloud-native architecture, platform architecture, CI CD, Monitoring, serverless, governance principles
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