Director - Data Analytics & AI - Managed Services

Live Connections; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

A leading recruitment agency is looking for a Director in Data Analytics & AI to work with an MNC in Bengaluru. The ideal candidate must have 20+ years of experience and proficiency in Data & Analytics architecture, cloud services, and analytics tools. This role involves collaboration with Chief Data Office teams to develop strategies and roadmaps. Candidates with experience in AWS, Azure, and data warehousing tools are preferred. The position is full-time with an immediate to three-month notice period.

Qualifications

• 20+ years of experience in Data & Analytics roles.
• Proficient with Data Lake, data fabric, and Data Mesh architectures.
• Hands-on experience with ETL tools and BI tools.

Responsibilities

• Drive data analytics strategy and AI initiatives for managed services.
• Lead architecture modernization and data platform roadmaps.

Skills

Data & Analytics architecture knowledge

Cloud platforms (AWS, Azure, GCP)

Data analytics tools (Power BI, Tableau)

Programming languages (Python, R, SQL)

Machine learning and AI familiarity

ML & AI familiarity

Data warehousing

Leadership

Education

Certification in data-related disciplines

Tools

AWS Glue

Hadoop

Databricks

Informatica

Power BI

Tableau

QlikView

Informatica

Talend

AWS Glue

EMR

Azure Data Factory

Redshift

Synapse

BigQuery

Teradata

Netezza

Job description

Director - Data Analytics & AI - Managed Services

Direct message the job poster from Live Connections

Hi All

Greetings from Live Connections!

We have an urgent requirement on Director - Data Analytics & AI - Managed Services role with one of our MNC based company in Bengaluru Location. Please find the below job description and kindly share me your updated CV to [e-mail]

Position Title: Director - Data Analytics & AI - Managed Services role

Experience Level: 20+Years

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 Datawarehousing tools like Teradata, Netezza etc
• Familiarity with machine learning, AI, and automation in data analytics.
• Certification in data-related disciplines preferred

Regards,

Sharmila

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