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Technical lead

28 days ago 2026/09/03 Expires in 15 days
No experience required
Other Business Support Services
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Job 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.
This job post has been translated by AI and may contain minor differences or errors.

Preferred candidate

Years of experience
No experience required
Degree
Bachelor's degree / higher diploma

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