Data Architecture Manager, Midrand

Role Overview As a Data Architect, you will design and define data requirements, models, and structures to optimize application performance and ensure seamless data integration. You will act as a Subject Matter Expert (SME) in Data&AI, influencing decisions and providing solutions that apply across teams. This role requires strategic thinking, technical expertise, and strong stakeholder engagement skills, particularly in mining or related industries.

Key Responsibilities

Develop and implement innovative data strategies to enhance application performance.

Design data models, structures, and storage solutions aligned with enterprise architecture principles.

Collaborate with cross-functional teams to ensure data integrity, consistency, and governance.

Establish and enforce data governance policies and procedures.

Identify and resolve data-related challenges across projects.

Stay abreast of advancements in data architecture and emerging trends.

Competencies

Strong problem-solving abilities and decision-making influence across teams.

Ability to lead and define the data scope within an enterprise architecture framework.

Excellent communication and collaboration skills with senior stakeholders.

Master proficiency in Data&AI.

Strong expertise in Data Access, Data Architecture Principles, Data Taxonomy, and AI processes.

Proven experience in data modeling, defining data requirements, and implementing governance frameworks.

Preferred certifications: TOGAF and relevant data certifications (e.g., DAMA or equivalent).

Exceptional stakeholder engagement and advisory skills.

Experience in the mining industry or large-scale enterprise projects is highly advantageous.

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