Global Data & AI Tech Lead – Hybrid & Impactful

Accenture; Fatih; Hybrid; TRY 400,000 - 700,000; Full time

Benefits offered by this job

Health Insurance

Life Insurance

Shuttle service

Meal allowance

Learning budget

Buddy Program

Job summary

Accenture is seeking a senior Data & AI leader to design and implement scalable data and AI solutions that align with client business goals. You will guide ML projects from prototyping to production, collaborating with data engineers, scientists and business stakeholders to identify high-impact use cases.

You will drive MLOps adoption, ensure governance and data quality, and stay ahead with evolving AI technologies while mentoring the team and contributing to strategic planning within

Qualifications

• BSc or MSc in Computer Engineering, Artificial Intelligence, Data Science or a related field.

Responsibilities

• Lead the design and implementation of scalable Data & AI solutions aligned with business goals.
• Guide the technical direction of data science and machine learning projects from prototyping to production.
• Collaborate with data engineers, data scientists, analysts, and stakeholders to identify AI use cases.
• Drive adoption of MLOps practices for model deployment and monitoring.
• Ensure data quality, governance, and security standards across AI initiatives.
• Evaluate and integrate emerging AI/ML technologies and best practices.
• Mentor technical team members and contribute to strategic planning within Data & AI ecosystem.

Skills

Python

Machine Learning

MLOps

Data governance

Cloud platforms

CI/CD pipelines

Docker/Kubernetes

English fluency

Team leadership

Agile

Education

BSc or MSc in Computer Engineering or related

Tools

Terraform

MLflow

SageMaker

Vertex AI

Azure ML

Docker

Kubernetes

TensorFlow

PyTorch

Git

Job description

Accenture is seeking a senior Data & AI leader to design and implement scalable data and AI solutions that align with client business goals. You will guide ML projects from prototyping to production, collaborating with data engineers, scientists and business stakeholders to identify high-impact use cases.

You will drive MLOps adoption, ensure governance and data quality, and stay ahead with evolving AI technologies while mentoring the team and contributing to strategic planning within