Data Engineering Manager — AI & Analytics

Ernst & Young Oman; Grand Rapids (MI); On-site; USD 126,000 - 230,000; Full time

Job summary

EY is recruiting for a Data Engineering Manager who will design and build AI and analytics solutions delivering business value. You will lead data architecture, collaborate with data scientists, designers, and engineers, and ensure alignment with client needs.

Responsibilities include managing workstreams, budgets, and client sessions, with travel possible as required. Strong engineering and communication skills are essential for success in this role.

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
• Data Architecture Design and Modelling
• Data Integration
• Data Security
• Ontology Design
• Software Engineering
• Data Quality
• Database Management
• Semantic Layer
• Building and Managing Relationships
• Client Trust and Value
• Communicating With Impact
• Hybrid Collaboration
• Commercial Acumen
• Leading Teams
• Managing Change
• Experience with advanced data analytics tools and techniques.
• Familiarity with machine learning concepts and applications.

Responsibilities

• Leading workstream delivery and ensuring quality in all processes.
• Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
• Implementing resource plans and budgets while managing engagement economics.

Skills

Python

SQL

Data pipelines

Big data

Education

Bachelor's degree

Tools

Cloud Computing Architecture

Data Modeling

Job description

EY is recruiting for a Data Engineering Manager who will design and build AI and analytics solutions delivering business value. You will lead data architecture, collaborate with data scientists, designers, and engineers, and ensure alignment with client needs.

Responsibilities include managing workstreams, budgets, and client sessions, with travel possible as required. Strong engineering and communication skills are essential for success in this role.