Director - Data Analytics & AI - Managed Services

Live Connections; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

A leading data solutions firm is seeking a Director of Data Analytics & AI to design and implement data architectures, including Data Lake and Data Mesh. The candidate should have over 20 years of experience and proficiency with cloud platforms like AWS, Azure, and GCP. Responsibilities include building data strategies and working closely with the Chief Data Office. An ideal candidate has hands-on experience with BI tools such as Power BI and Tableau, alongside a strong understanding of machine learning and data analytics automation.

Qualifications

• 20+ years of experience in data analytics and management.
• Strong understanding of cloud platforms like AWS, Azure, and GCP.
• Hands-on experience with BI tools and data integration tools.

Responsibilities

• Build roadmaps and strategies for data and analytics.
• Modernize data architectures including Data Lake and Data Mesh.
• Work closely with CDO to advance data initiatives.

Skills

Data & Analytics architecture

Data Lake

Data Mesh

AWS Glue

Azure

GCP

Python

Machine Learning

Education

Certification in data-related disciplines

Tools

Power BI

Tableau

Informatica

Snowflake

Job description

Director – Data Analytics & AI – Managed Services

Location: Bengaluru, India

Experience Level: 20+ Years

Employment Type: Full-time

Notice Period: Immediate to 3 Months

Technical Skills:

• Proficient with Data & Analytics architecture including modernization strategies and modern architectures like Data Lake, data fabric, Data Mesh
• Proficient with Data & Analytics strategies and good experience working with Chief Data Office team to build roadmaps, strategies
• Strong understanding of Data & Analytics services cloud platforms (e.g., AWS, Azure, GCP) like AWS Glue, EMR, ADF, Redshift, Synapse, BigQuery etc and big data technologies (e.g., Hadoop, Spark)
• Hands on experience working with one of the native Data & Analytics services on AWS, Azure and/or GCP along with Snowflake, Databricks and leading ETL tools and BI tools
• Proficiency in data analytics tools (e.g., Power BI, Tableau, QlikView), data integration tools (ETL, Informatica, Talend, Snowflake etc.) and programming languages (e.g., Python, R, SAS, SQL)
• Hands on with traditional data warehousing tools like Teradata, Netezza etc
• Familiarity with machine learning, AI, and automation in data analytics
• Certification in data-related disciplines preferred

Regards,

Sharmila

Contact: [e-mail]