Global Head of Data and Analytics Engineering

LOCATION:

India or US - Remote

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 & Pipeli