Job Summary
Experience:
15.00 - 25.00 Years
Industrial Type:
IT-Software/Software Services
Location:
Chennai
Functional Area:
IT Software - DBA / Datawarehousing
Designation:
Associate Director - Data and AI Engineering
Key Skills:
Data Engineering, AI, ML
Educational Level:
Graduate/Bachelors
Job Post Date:
2026-02-05 15:14:08
Stream of Study:
Degree:
BCA, BE-Comp/IT, BE-Other, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other
Company Description
We’re more than simply paper, ink, and toner. We provide the supplies and services that thousands of businesses around the world need to succeed. We’re the experts in technology and conferencing equipment, cleaning products, furniture, and even breakroom items like snacks and coffee, too. (After all, innovation requires plenty of fuel!) This is a company of more than 13,000 smart, insightful experts who believe in the power of what can be and are driven to make business easier for our customers.
Job Description
Basic Qualifications
• Bachelor`s or master`s degree in computer science, Engineering, Information Technology, or related field.
• 7+ years of experience in IT delivery management, with a focus on Data & AI projects.
• Proven experience managing multiple teams and delivery leads in an offshore/onshore model.
• Strong understanding of Data & AI technologies (Snowflake, Databricks, DBT), project management methodologies (Agile, Scrum), and best practices.
• Strong Knowledge of DevOps, CI/CD pipelines, Git, and its practices in a data engineering context.
• Exceptional communication, leadership, and stakeholder management skills.
• Ability to work across time zones and cultures, with a flexible and proactive approach.
• Experience collaborating with senior executives, technical product managers, and business stakeholders in the US preferred.
Preferred Qualifications
• Experience with real-time/streaming platforms (Kafka, Spark Streaming, Flink)
• Domain expertise in e-commerce, retail, or customer-centric data ecosystems
• Recognized for driving technical innovation, process improvement, or organizational data maturity
• Experience in ML Ops and AI/ML model lifecycle management including (data pipelines for training, feature stores, monitoring)
• Understand organization vision and decision-making framework. Able to align the team, personal goals/objectives contribute to the organization vision
• Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team
