Data & AI Director

Data & AI Director

(available different job levels for the same section)

This role directs Authority's data and analytics function, covering data governance and management, AI & data analytics, and data platforms. The position sets data strategy and standards, oversees analytical products and AI models, and manages platforms that ingest, integrate, and serve reliable data. It focuses on improving data quality and protection, enabling evidence-based decisions, and delivering analytical solutions that support policy, compliance, operations, and taxpayer services.

• Sets the Authority-wide data governance framework, roles, and standards (quality, protection, retention, metadata, lineage).
• Defines and enforces master/reference data models and business glossaries; drives stewardship in business units.
• Establishes data quality controls, issue management, and remediation SLAs; monitors critical data elements.
• Oversees data privacy and access controls with Cybersecurity & Enterprise Risk; ensures compliant sharing and usage.
• Guides policies for third-party/externally sourced data, licensing, and ethical use.

• Directs design and delivery of analytical products (de ive, diagnostic, predictive) and AI/ML models supporting registration, filing, revenue, compliance risk, and service operations.
• Sets standards for feature engineering, model training/validation, monitoring, and version control; performs drift/bias checks and documentation.
• Oversees BI/reporting solutions and self-service dashboards; ensures accuracy, timeliness, and clear definitions.
• Leads experimentation, PoCs, and model lifecycle reviews; retires/refreshes models based on performance and business value.
• Coordinates with functional teams to embed analytics into processes (alerts, case scoring, workflows) and measure impact.

• Directs architecture and roadmap for data ingestion, integration, storage, and processing (data lake/warehouse, streaming, MDM).
• Oversees pipelines, ETL/ELT, API integrations, and data virtualization to ensure completeness, scalability, and reliability.
• Ensures platform security, performance, and cost control; approves capacity and disaster recovery plans.
• Manages product backlog for data platforms; prioritises enhancements and release management with IT/Application teams.
• Establishes reusable data products and curated datasets for policy, audit, revenue, and service use cases.

• Maintains the data/AI risk register; defines controls for privacy, model risk, explainability, and human-in-the-loop review.
• Ensures compliance with internal policies and applicable standards; closes internal/external audit findings with sustainable fixes.
• Sets procedures for consent, minimisation, and sensitive-data handling; reviews requests for new high-risk use cases.

• Defines KPIs and dashboards for data quality, platform reliability (uptime, latency), model performance, and BI adoption.
• Oversees demand intake, effort/benefit assessment, and delivery cadence; resolves cross-team dependencies.
• Manages vendor contracts, tools, and licenses; tracks run‑vs‑change spend and unit costs; drives optimisation.

• Aligns with Information Technology, Applications & Digital Experience, and Infrastructure & Operations on integrations, security, and releases.
• Partners with Policy & Legislation, Taxpayer Affairs, and Compliance to translate priorities into data/AI initiatives and measurable outcomes.
• Builds data literacy and self‑service capabilities through standards, training, and a governed semantic layer/metrics store.

Publishes periodic insights and risk reports to support leadership decisions.

• Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, Economics, or a related field.
• Master's degree (e.g., Data/Analytics, Information Systems, Statistics, MBA/MPA) is an advantage.

Relevant certifications are an advantage (e.g., DAMA/DMBOK, CDMP, cloud data certifications, ML/AI certifications, ITIL/COBIT).

• 16+ years across data…