Global Head of Data and Analytics Engineering

Cintal, Inc. is a forward-thinking global technology company specializing in advanced products and services across various industries. They are seeking an experienced Global Head of Data & Analytics to define the vision and growth strategy for their Data & Analytics vertical, leading global teams to deliver data-driven engineering solutions.

Responsibilities:

• Define and execute the global strategy for Data & Analytics services
• Identify new business opportunities across global markets
• Expand advanced analytics and intelligent automation capabilities
• Align the vertical with company growth and profitability goals
• Own revenue growth, margin performance, and financial forecasting
• Drive operational efficiency and profitability improvements
• Manage budgeting and financial performance of the vertical
• Build and manage executive-level relationships with international customers
• Lead commercial discussions including proposals and pricing strategy
• Drive long-term strategic partnerships with global clients
• Lead geographically distributed analytics and engineering teams
• Ensure scalable delivery frameworks and high-quality project execution
• Establish performance metrics and operational accountability
• Provide Subject Matter Leadership Across Data architecture and data engineering
• Advanced analytics and predictive modeling
• Machine learning and AI solutions
• Data visualization and reporting platforms
• Intelligent automation and data-driven decision systems
• Domestic and international travel is required to support customers and global teams

Requirements:

• Master's degree+ in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, Data Science/Analytics, Information Systems/Information Technology or related field
• 15–20 years of experience in one or more of the following industries (mandatory): Heavy engineering, Earth moving equipment, Automotive, Industrial equipment
• Strategic thinker with entrepreneurial mindset
• Strong commercial acumen
• Excellent communication and stakeholder management skills
• Ability to operate in a global matrix organization
• High emotional intelligence and cultural awareness
• Proven experience managing large, multi-location engineering teams
• Significant international customer interaction experience
• Demonstrated P&L or revenue responsibility
• Strong executive presence and leadership maturity
• Deep expertise in Data & Analytics Engineering
• Enterprise Digital Architecture
• Data Engineering & Pipeline Management
• Analytics & Business Intelligence
• AI / Machine Learning Engineering
• Cloud & Infrastructure Engineering
• Data Governance & Compliance
• Software Engineering & DevOps for Analytics
• Enterprise System Integration
• Performance & Optimization
• ERP systems (SAP, Oracle, or equivalent)
• PLM systems (Teamcenter, Windchill, or similar)
• Advanced Excel & data-driven decision making
• KPI dashboards and performance analytics
• Cloud Platforms & Infrastructure
• Data Platforms & Storage Systems
• Data Integration & Pipeline Systems
• Analytics & Business Intelligence Systems
• AI / Machine Learning Platforms
• DevOps & DataOps Systems
• Governance, Security & Compliance Systems
• Enterprise Architecture & Portfolio Systems
• Next-Generation Data Architecture
• Advanced Analytics & AI
• Real-Time & Event-Driven Systems
• Cloud & Distributed Systems Mastery
• Data Governance & Security Leadership
• Advanced DevOps & DataOps Practices
• Enterprise Integration & Interoperability
• Data-Driven Product & Platform Thinking