AVP, Data Engineering — Global Analytics & Strategy

Everest Group; Warren Township (NJ); Hybrid; USD 173,000 - 220,000; Full time

Benefits offered by this job

Health insurance coverage

Employee wellness program

Life and disability insurance

401k match

Retirement savings plan

Paid holidays and PTO

Job summary

Everest Global Services, Inc. seeks an Assistant Vice President of Data Engineering to drive the global data strategy and lead multiple engineering teams. The role blends technical leadership with strategic partnership across stakeholders to accelerate the data/analytics transformation.

The ideal candidate will advance modern cloud-based architectures, governance, and scalable data platforms while delivering high-quality outcomes for a multinational enterprise.

Qualifications

• Experience leading data and analytics organizations in multinational environments.
• Proven ability to deliver large-scale data initiatives on time and within budget.
• Strong leadership presence and cross-functional collaboration.

Responsibilities

• Lead multiple engineering teams while defining, planning, and delivering technology solutions.
• Develop and execute data and analytics strategies and roadmaps aligned with enterprise goals.
• Foster cloud-first engineering practices, governance, security, and data quality.
• Drive delivery excellence and organizational transformation in data and analytics.

Skills

Leadership across engineering teams

Data strategy & analytics

Cloud architecture & governance

Stakeholder management

Communication skills

Strategic planning

Education

Bachelor's degree in Computer Science, Engineering, Business, or related field

Tools

Azure

Job description

Everest Global Services, Inc. seeks an Assistant Vice President of Data Engineering to drive the global data strategy and lead multiple engineering teams. The role blends technical leadership with strategic partnership across stakeholders to accelerate the data/analytics transformation.

The ideal candidate will advance modern cloud-based architectures, governance, and scalable data platforms while delivering high-quality outcomes for a multinational enterprise.