Lead Specialist, Data Product II

Role Overview

Lead Specialist, Data Product II at Ma'aden, located in Saudi Arabia. This role designs and delivers high-quality solution-level data models and architecture artifacts to enable consistent, governed, and performant data products across enterprise analytics environments.

Company Overview

Ma'aden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. The company is leading the development of the mining industry to become the third pillar of Saudi Arabia's economy by building a world-class, unique, and fully integrated mining value chain.

Role Purpose

The Lead Specialist, Data Product II designs and delivers high-quality solution-level data models and architecture artifacts to enable consistent, governed, and performant data products. The role applies enterprise standards to delivery initiatives and partners with engineering, governance, and business stakeholders to translate requirements into implementable models. This position provides advanced technical leadership within delivery squads, ensuring modeling quality, integration readiness, and conformance to enterprise patterns while supporting multiple projects and domains.

Key Responsibilities

Data Modeling and Design

• Design and maintain logical and physical data models for analytics, integration, and reporting use cases, aligned with enterprise standards and naming conventions.
• Translate business requirements into consistent entities, attributes, and relationships; ensure definitions align with the business glossary and stewardship ownership.
• Develop dimensional models and curated layer schemas that support performant analytics and standardized KPIs.
• Define mappings and transformation rules from source systems to curated layers; ensure traceability, lineage, and reconciliation requirements are met.

Quality Assurance and Risk Management

• Participate in solution design reviews; identify modeling risks and recommend mitigation for data quality, master/reference data, performance, and historization.
• Support data engineers with model-driven implementation guidance; validate that physical implementations align with approved designs.

Standards and Acceleration

• Contribute reusable templates, reference models, and design patterns to accelerate delivery and standardize outputs.

Governance and Collaboration

• Collaborate with governance teams to ensure metadata completeness, catalog registration, and data quality checks are embedded in delivery.

Qualifications & Experience

Education

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related discipline.

Experience

• 8–12 years of experience in data modeling and solution architecture within enterprise analytics environments.
• Hands-on experience delivering models for modern cloud data platforms and supporting implementation throughout production.

Skills & Competencies

Technical Skills

• Strong data modeling capabilities including logical, physical, and dimensional modeling.
• Ability to document and communicate designs clearly.
• Experience with modeling tools and SQL.
• Familiarity with cloud data platform design considerations.
• Strong analytical thinking and ability to troubleshoot modeling and integration defects.

Domain Knowledge

• Understanding of data quality, lineage, metadata, and governance requirements for enterprise data products.
• Ability to work across engineers, analysts, and business stakeholders to resolve definition and integration challenges.

Core Competencies

• Ownership & Accountability – Takes end-to-end ownership for delivery and outcomes.
• Collaboration – Works effectively across engineering, governance, and business teams.
• Execution Excellence – Delivers robust solutions with strong quality and reliability.
• Continuous Improvement – Improves performance, cost, and operability over time.
• Impact & Influence – Guides teams and vendors through technical leadership.