Job Description

Job description
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In this role you will lead the enterprise-wide data, analytics, and AI agenda. You will be owning strategy, governance, and priorities to drive performance and enable better decision-making across the organisation.
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Job Responsibilities:
Data Strategy, Governance & Architecture
Define and lead the Data & AI strategy aligned with business goals and long-term scalability.
Establish data governance covering ownership, metadata, quality, security, and access.
Oversee enterprise data platforms (data lakehouse, warehouse, integration layers, analytics tools).
Analytics, AI/ML Enablement & Business Value Realization
Lead advanced analytics, predictive models, ML solutions and AI use cases.
Collaborate with business leaders on high-impact opportunities and prioritization.
Oversee BI dashboards, self-serve analytics tools, and data products for decision-making.
Ensure AI/ML governance, ethical principles, monitoring, and lifecycle management.
Drive business value and maximize ROI from analytics initiatives.
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Data Platform Delivery, Operations & Performance
Oversee engineering, ETL pipelines, model development, ERP/app platform integration.
Manage platform reliability, security, cost optimization (cloud/on-prem).
Lead technology vendor management and oversee AI/ML/data platform contracts.
Minimum Required Qualifications
Bachelor's in Information Systems, Computer Science, Engineering.
10+ years in data/analytics/AI functions; proven experience building large-scale enterprise data platforms and delivering AI/ML solutions.
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Preferred Qualifications
Master's degree.
15+ years in senior leadership roles in data/analytics/AI.
Expertise across Azure/AWS/GCP, MLOps, cloud architecture, enterprise data frameworks.
Preferred Skills
Deep expertise in data engineering, analytics, AI/ML, data governance.
Strong business acumen and ability to translate business needs into data solutions.

Skills Required