Data Engineering Manager: AI & Analytics Leader

Ernst & Young Oman; San Antonio (TX); Hybrid; USD 126,000 - 230,000; Full time

Job summary

EY seeks a Data Engineering Manager to design and build AI and analytics solutions, collaborating with data professionals, management, and stakeholders to align technical requirements with business needs. You will craft scalable data architectures, modeling solutions, and support entire data lifecycles.

You will lead technical initiatives, engage clients, and drive delivery with cross-functional teams, applying your experience in data pipelines, cloud architectures, and data security to deliver

Qualifications

• Bachelor’s degree required in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related preferred.
• Typically, no less than 4–6 years relevant experience.
• Hands-on experience developing scalable data solutions using Python, R, and SQL, with expertise in data engineering, data pipelines, streaming architectures, and big data ecosystems.
• Cloud Computing Architecture and Data Architecture Design and Modelling.

Responsibilities

• Lead workstream delivery and ensure quality in all processes.
• Engage with clients daily, participate in working sessions, and identify opportunities for additional services.
• Implement resource plans and budgets while managing engagement economics.

Skills

Python

SQL

Data engineering

Big data

Cloud computing

Data architecture

Data integration

Machine learning concepts

Communication

Leading teams

Education

Bachelor's degree (Data Science / CS / Statistics / Math)

Tools

Python

SQL

Cloud platforms

Job description

EY seeks a Data Engineering Manager to design and build AI and analytics solutions, collaborating with data professionals, management, and stakeholders to align technical requirements with business needs. You will craft scalable data architectures, modeling solutions, and support entire data lifecycles.

You will lead technical initiatives, engage clients, and drive delivery with cross-functional teams, applying your experience in data pipelines, cloud architectures, and data security to deliver