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Master Works Linkedin · Posted 1mo ago

Technical lead

Riyadh, Riyadh, Saudi Arabia

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Indexed description

Technical Lead - Data & AI Innovation

Role Overview

As a Technical Lead at Master Works, you will spearhead the design, development, and delivery of cutting-edge data and AI innovation projects. This role requires a strategic technical mind to guide engineering teams and ensure that every solution aligns with the company's mission of delivering high-impact business value and maintaining its market leadership in the technology sector.

Key Responsibilities

  • Architectural Leadership: Architect and oversee the implementation of enterprise-grade data, analytics, and AI/ML solutions
  • Technical Execution: Lead technical execution across cross-functional teams to ensure seamless delivery and high-quality outputs
  • Innovation & Experiments: Drive Proof of Concepts (POCs), pilot programs, and innovation experiments utilizing emerging data and AI technologies
  • Strategic Roadmap: Translate complex business requirements into scalable technical roadmaps and robust solution designs
  • Governance & Compliance: Ensure all delivered solutions adhere to the highest standards of quality, security, and data/AI governance
  • Stakeholder Management: Effectively communicate project milestones, technical risks, and strategic insights to all key stakeholders
  • Vendor Collaboration: Partner with multiple vendors and internal departments to ensure the realization of intended organizational value

Qualifications & Requirements

  • Years of Experience: A minimum of 10+ years of professional experience in technical leadership or senior engineering roles
  • Domain Expertise: Extensive experience in delivering end-to-end solutions within data engineering, data visualization, and AI/ML domains
  • Proven Track Record: Demonstrated success in transitioning data and AI solutions from experimental phases (POC) to production-grade environments
  • Leadership & Communication: Exceptional leadership skills with the ability to solve complex problems and communicate technical concepts to non-technical audiences
  • Education: Bachelor's degree in Computer Science, Computer Engineering, or a related technical field

Technical Stack & Tools

The ideal candidate must possess hands-on expertise in the following (but not limited to):

  • ETL & Integration: Informatica IDMC for enterprise data integration and management
  • BI & Analytics: SQL Server and Power BI for advanced business intelligence and reporting
  • AI & Advanced Analytics: Dataiku for building, deploying, and scaling AI and analytical applications
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