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Senior Data & AI Platform Manager (NCS/Job/ 2101)

For Data And Artificial Intelligence Company
10 - 18 Years
Full Time
Immediate
Up to 32 LPA
1 Position(s)
Bangalore / Bengaluru
Posted 1 Day Ago

Job Skills

Job Description

Job Description – Senior Data & AI Platform Manager

  • Master’s degree in Mathematics, Statistics, Data Analytics, Computer Science, Business Informatics, Engineering, Physics or a related field.

  • 10+ years of proven record in the field of data and analytics

  • 5+ years of experience managing a team of engineers

  • Commercially savvy with a strong understanding of how to align data initiatives with business objectives

  • Strong Vendor Management governing the deliverables and solutions

  • Customer-oriented with strong communication and interpersonal skills

  • Proactive, self-motivated and able to work in a very dynamic environment

  • Strong retail background is mandatory

  • Green or Brown field Data Lake implementation is mandatory

  • Good spoken and written communication skills in English


What will you do?

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

  • Analyze the business needs and recommend data-driven strategies to enhance internal operations and decision-making

  • Assess and introduce Data / AI/ML products and technologies that align with business goals

  • Identify opportunities to maximize the commercial value of data

  • Lead and Support the implementation of GCP, Big Query based Lakehouse implementation

  • Oversee and evolve the existing data architecture into a highly scalable and efficient base for Advanced analytics and AI use cases for business

  • Lead the design, development, and maintenance of our data and AI platforms

  • Develop and implement best practices for data and AI platform engineering, including version control, testing, and deployment

  • Stay up to date with emerging technologies and industry trends in data and AI

  • Collaborate with stakeholders across the organization to understand their data and AI needs and design solutions that meet those needs

  • Ensure Training and Documentation of data infrastructure, data models and workflows are adequately created and maintained

  • Ensure SLA for 2nd & 3rd level support for business is managed