Data Engineering Manager — AI‑Driven Platform Leader

Ernst & Young Oman; Tucson (AZ); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) plan

Paid time off

Job summary

EY is seeking a Data Engineering Manager to design and build AI and analytics solutions. You will collaborate with data professionals, management, and stakeholders to align technical work with business needs. You will implement scalable data architectures and model data lifecycles across projects.

The role emphasizes leadership, cross-functional teamwork, and hands-on data engineering using Python, R, and SQL in a hybrid client-facing environment. Travel may be required periodically.

Qualifications

• Bachelor’s degree in a data-related field and 4–6 years of relevant experience.
• Hands-on experience developing scalable data solutions using Python, R and SQL.
• Experience with data pipelines, streaming architectures and big data ecosystems.
• Knowledge of cloud computing architecture and data security basics.
• Strong collaboration with cross-functional teams and clients.

Responsibilities

• Lead workstreams and ensure quality across delivery phases.
• Engage with clients daily, identify opportunities for additional services.
• Manage engagement budgets and resource plans while tracking economics.

Skills

Python

R

SQL

Data engineering

Cloud computing

Stakeholder management

Leading teams

LLMs / GenAI tooling

Communication

Problem solving

Education

Bachelor’s degree in Data Science / CS / Math / Engineering

Tools

Cloud platforms

Data pipelines

Job description

EY is seeking a Data Engineering Manager to design and build AI and analytics solutions. You will collaborate with data professionals, management, and stakeholders to align technical work with business needs. You will implement scalable data architectures and model data lifecycles across projects.

The role emphasizes leadership, cross-functional teamwork, and hands-on data engineering using Python, R, and SQL in a hybrid client-facing environment. Travel may be required periodically.