Global Head of Data and Analytics Engineering

Cintal is a forward-thinking global technology company that develops and provides cutting-edge products and services to various industries such as heavy equipment, industrial, defense, agriculture, and medical. With our dedicated team of experienced technical professionals, Cintal aims to add value for its customers by leveraging advanced technologies to reduce product costs, shorten design and development lead times, and accelerate the introduction of high-quality products to the market. LOCATION: Hybrid

India - Chennai or Bangalore or willing to relocate

US - Peoria, IL or willing to relocate

COMPENSATION . PERFORMANCE INCENTIVE:

Compensation for this role is competitive and will be commensurate with experience, domain expertise, and geographic location.

The compensation package includes:

• Base Salary: Determined based on location, years of experience, and demonstrated P.L leadership.

• Performance-Based Bonus: Significant annual incentive opportunity tied directly to:

• + Revenue growth within the Manufacturing Engineering vertical

+ Gross margin expansion
+ Overall business performance and strategic growth milestones

This role is designed for a business builder. Incentive earnings increase meaningfully with vertical revenue growth and sustained margin performance.

BENEFITS:

Benefits are competitive and vary by country and local market requirements. Comprehensive benefits packages may include:

• Health, dental, and vision coverage (where applicable)

• Retirement contributions

• Paid time off and holidays in accordance with local standards

• Life and disability insurance (location dependent)

• Professional development and leadership growth opportunities

• Travel reimbursement and business-related expenses

Specific benefit details will be shared during the interview process based on the candidate’s work location.

JOB DESCRIPTION/TYPICAL TASK BREAKDOWN: We are seeking an experienced and strategic Global Head of Data . Analytics to lead and scale our global Data . Analytics vertical. This executive leadership role is responsible for defining the vision, growth strategy, and operational execution of data-driven engineering solutions across global markets.

This role owns the full P.L of the Data . Analytics vertical and will lead global teams to deliver advanced analytics, data engineering, machine learning, and intelligent automation solutions to international customers.

This position requires a leader who can combine deep technical expertise with strong commercial leadership to expand customer partnerships, grow revenue, and build scalable global delivery capabilities.

DUTIES . RESPONSIBILITIES:
Strategic Leadership

• 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

Full P.L Responsibility

• Own revenue growth, margin performance, and financial forecasting

• Drive operational efficiency and profitability improvements

• Manage budgeting and financial performance of the vertical

Global Customer Leadership

• 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

Global Delivery Management

• Lead geographically distributed analytics and engineering teams

• Ensure scalable delivery frameworks and high-quality project execution

• Establish performance metrics and operational accountability

Technical Leadership

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

Travel

• Domestic and international travel is required to support customers and global teams.

EDUCATION . EXPERIENCE:

• Master’s degree. in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, Data Science/Analytics, Information Systems/Information Technology or related field

• 15–25 years of experience in one or more of the following industries (mandatory):

o Heavy engineering

o Earth moving equipment

o Automotive

o Industrial equipment

• Leadership Competencies:

o Strategic thinker with entrepreneurial mindset

o Strong commercial acumen

o Excellent communication and stakeholder management skills

o Ability to operate in a global matrix organization

o 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

REQUIRED TECHNICAL SKILLS:

• 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

Required Systems . Digital Data/Analytics Knowledge

• 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

DESIRED SKILLS:

• 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

We are committed to building a diverse, inclusive, and global team. Candidates must be authorized to work in the United States. We are pleased to offer visa sponsorship for eligible and qualified individuals.

Cintal provides equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, ancestry, national origin, citizenship, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, religion, age, disability, genetic information, service in the military, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Equal employment opportunities apply to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.