Head: Data & Analytics

Mindworx Consulting and Academy; City of Johannesburg Metropolitan Municipality; Hybrid; ZAR 1,800,000 - 3,200,000; Full time

Job summary

Mindworx Consulting and Academy seeks a visionary Head: Data and Analytics to transform enterprise information architecture and drive cloud engineering, analytics, and GenAI initiatives from the ground up.

In this senior role you will own the firm-wide data and BI roadmap, modern data platform architecture, and governance frameworks, bridging strategy with technical execution to unlock trusted insights across the business.

Qualifications

• Proven track record leading modern data engineering and analytics (up to 12 years).
• Solid hands-on background with Azure, Databricks, Medallion architecture, and Kimball modelling.
• Deep expertise in enterprise data governance, MDM, and chairing governance councils.

Responsibilities

• Architect the Modern Data Platform: Own and scale the Azure and Databricks data platform using medallion design patterns.
• Lead Enterprise Data Governance: Chair the Data Governance Committee, establishing enterprise-wide stewardship, unified glossaries, authoritative single-source-of-truth definitions, and automated data quality controls.
• Deliver Governed BI & AI Readiness: Build governed semantic models and self-service analytics to reduce operational reporting dependencies and prepare data foundations for production-grade AI/ML initiatives.

Skills

Data engineering

Analytics leadership

Governance

Education

Bachelors Honours in CS

Tools

Azure

Databricks

Medallion architecture

Kimball modelling

Job description

We are looking for a visionary Head: Data and Analytics to transform enterprise information architecture, drive modern cloud engineering, and spearhead our analytics and GenAI journey from the ground up.

Operating at a strategic senior leadership level, you will own the firm-wide data and BI roadmap, modern data platform architecture, and enterprise governance frameworks. You will bridge high-level business strategy with deep technical execution—eliminating operational reporting bottlenecks, embedding self-service analytics, and engineering resilient data products that unlock trusted insights across the entire business.

The Tech Stack Deep-Dive

Technical Landscape & Qualifications

• Architecture & Modelling: Medallion Architecture, Kimball Dimensional Modelling, Master Data Management (MDM), Conceptual/Logical/Physical Data Modelling, Semantic Layer Design
• Analytics, BI & AI: Advanced Power BI/BI semantic models, KPI frameworks, Predictive Analytics, Machine Learning & Generative AI readiness foundations
• Governance & Quality: Enterprise data catalogs, lineage tracing, data quality automation, metadata management

Must-Haves:

• Proven track record leading modern data engineering and analytics capabilities (up to 12 years of progressive experience).
• Solid hands-on background with Azure, Databricks, Medallion architecture, and Kimball modelling.
• Deep expertise in enterprise data governance, MDM, and chairing data governance councils/committees.
• Bachelors Honours Degree / NQF Level 8 (Management Sciences, Business Process Management, or Computer Science).
• Certified Data Management Professional (CDMP) credential.
• Prior advisory, consulting, or leadership experience within a professional services or legal firm environment.

Nice-to-Haves:

• Direct experience operationalizing LLMs, Generative AI, and machine learning pipelines on governed enterprise data.
• Hands-on expertise with cloud cost optimization and FinOps for Azure/Databricks environments.

Key Responsibilities

• Architect the Modern Data Platform: Own and scale the Azure and Databricks data platform using medallion design patterns, ensuring robust data lineage, ingestion reliability, and cost-effective cloud performance.
• Lead Enterprise Data Governance: Chair the Data Governance Committee, establishing enterprise-wide stewardship, unified business glossaries, authoritative single-source-of-truth definitions, and automated data quality controls.
• Deliver Governed BI & AI Readiness: Build governed semantic models and self-service analytics to reduce operational reporting dependencies while structuring data foundations for production-grade AI and machine learning initiatives.

Why Join Us

• Direct Strategic Impact: Lead a high-visibility practice with significant executive backing, shaping decisions that impact firm-wide strategy for years to come.
• Modern Stack & High Autonomy: Freedom to architect enterprise systems using modern cloud patterns (Databricks, Medallion) without being weighed down by legacy operational sprawl.
• Hybrid & Dynamic Work Environment: Enjoy a flexible balance of virtual and office-based collaboration within an elite, high-performance professional services firm.