Data Engineering Manager - AI & Analytics Platform Lead

Ernst & Young Advisory Services Sdn Bhd

New York (NY)

Hybrid

USD 126,000 - 230,000

Full time

7 days ago
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Benefits offered by this job

Medical and dental coverage
Pension and 401(k) plans
Paid time off
Hybrid work model

Job summary

EY's Products and Platforms Practice seeks a Data Engineering Manager to design and deliver AI and analytics solutions for top organizations. You will lead cross-functional teams of data scientists, engineers, and designers, shaping scalable data architectures and production-grade pipelines.

Traveling may be required to meet client needs, and you will collaborate with stakeholders to align technical work with business goals.

Qualifications

  • Bachelor’s degree in a related field.
  • Typically 4–6 years of relevant experience.
  • Hands-on experience developing scalable data solutions using Python, R and SQL.
  • Cloud computing architecture experience.
  • Data architecture design and modeling.
  • Data integration and data security.
  • Software engineering practices and data quality.
  • Database management and semantic layer knowledge.
  • Building and managing client relationships and communicating impact.
  • Commercial acumen, leadership and change management.

Responsibilities

  • Lead workstream delivery and ensure quality across projects.
  • Engage with clients daily, participate in sessions, identify opportunities for additional services.
  • Implement resource plans and manage engagement economics.

Skills

Python
R
SQL
Data Pipelines
Big Data
Cloud Architecture
Data Modeling
Data Security
Software Engineering
GenAI tooling

Education

Bachelor’s degree in Data Science / CS / Engineering

Tools

Spark
Airflow
Hadoop
Kafka

Job description

EY's Products and Platforms Practice seeks a Data Engineering Manager to design and deliver AI and analytics solutions for top organizations. You will lead cross-functional teams of data scientists, engineers, and designers, shaping scalable data architectures and production-grade pipelines.

Traveling may be required to meet client needs, and you will collaborate with stakeholders to align technical work with business goals.

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