Product Manager- Data, Analytics & AI

Withremote Solutions

Mumbai

On-site

INR 1,893,000 - 2,561,000

Full time

5 days ago
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Benefits offered by this job

Laptop provided if needed

Job summary

Withremote Solutions is hiring a Manager Data, Analytics & AI to lead data, analytics, and AI initiatives for a renewables client in Mumbai. You will bridge delivery and client teams, define solutions, and steer end-to-end delivery.

The role requires deep Microsoft Azure expertise, Databricks, and a track record in data engineering, analytics, and AI projects, along with strong stakeholder management and leadership. On-site in Kurla, Mumbai with optional Saturday WFH.

Qualifications

  • Strong experience with the Microsoft/Azure stack and Databricks.
  • Strong background in Data Engineering.
  • Hands-on experience in Analytics & Reporting.
  • Experience with AI / Generative AI.
  • Proven track record planning, designing, and executing Data, Analytics & AI projects.
  • Ability to translate business requirements into data/analytics/AI solutions.
  • Strong customer and stakeholder management skills.
  • Experience leading teams and managing project delivery.
  • Solid understanding of business processes.

Responsibilities

  • Lead Data, Analytics and AI projects from requirement gathering through delivery.
  • Act as the primary bridge between the delivery team and client stakeholders.
  • Work closely with business and technology stakeholders to identify opportunities and define solutions.
  • Define solution architecture, approach, and implementation roadmap.
  • Plan project scope, timelines, resources, and deliverables.
  • Lead, mentor, and manage a team of 8–10 across Data Engineering, Analytics, and AI.
  • Identify and drive opportunities in AI, Gen AI, Analytics, and Automation.
  • Ensure quality, timelines, and successful delivery of all projects.
  • Support identification and development of new Data, Analytics & AI opportunities with the client.

Skills

Microsoft Azure
Databricks
Data Engineering
Analytics & Reporting
AI
Generative AI
Stakeholder management
Team leadership
Project delivery
Business processes

Education

Bachelor's degree in Computer Science / Computer Engineering or related field

Tools

Azure Data Factory
Azure Data Lake Storage Gen2
Azure Synapse / Azure SQL
Microsoft Fabric / Azure Databricks
Microsoft Power BI
Azure AI Foundry / Azure Machine Learning
Microsoft Copilot
Power Automate / Power Apps

Job description

ABOUT THE ROLE

We're hiring a Manager Data, Analytics & AI to lead and execute data, analytics, and AI initiatives for a leading name in the renewable energy sector. You'll be on the payroll of our client, working full-time from the client's Mumbai office, acting as the key bridge between the team and the client owning solution design, project delivery, and team leadership end to end.

This is a high-visibility leadership role for someone who combines strong technical depth (Microsoft/Azure ecosystem) with business acumen, stakeholder management, and hands-on team leadership.

WORK DETAILS
  • Work Location: Client office, Kurla, Mumbai
  • Working Days: 5 days a week + alternate Saturdays
  • Saturday Flexibility: Option to WFH on working Saturdays (6-hour day)
  • Working Hours: 8 hours/day, general shift
  • Team Size: Will lead a team of 810 members
  • Compensation: 2227 LPA (all fixed, in-hand)
  • Laptop: Candidates with their own laptop preferred; company-provided laptop available if needed
KEY RESPONSIBILITIES
  • Lead Data, Analytics and AI projects from requirement gathering through delivery
  • Act as the primary bridge between the delivery team and client stakeholders
  • Work closely with business and technology stakeholders to identify opportunities and define solutions
  • Define solution architecture, approach, and implementation roadmap
  • Plan project scope, timelines, resources, and deliverables
  • Lead, mentor, and manage a team of 8–10 across Data Engineering, Analytics, and AI
  • Identify and drive opportunities in AI, Gen AI, Analytics, and Automation
  • Ensure quality, timelines, and successful delivery of all projects
  • Support identification and development of new Data, Analytics & AI opportunities with the client
MUST-HAVE SKILLS & EXPERIENCE
  • Strong experience with the Microsoft / Azure technology stack and Databricks
  • Strong background in Data Engineering
  • Hands-on experience in Analytics & Reporting
  • Experience with AI / Generative AI
  • Proven track record planning, designing, and executing Data, Analytics & AI projects
  • Ability to translate business requirements into data/analytics/AI solutions
  • Strong customer and stakeholder management skills
  • Experience leading teams and managing project delivery
  • Solid understanding of business processes
PREFERRED TECHNOLOGY STACK
  • Azure Data Factory
  • Azure Data Lake Storage Gen2
  • Azure Synapse / Azure SQL
  • Microsoft Fabric / Azure Databricks
  • Microsoft Power BI
  • Azure AI Foundry / Azure Machine Learning
  • Microsoft Copilot
  • Power Automate / Power Apps

Candidates don't need hands-on experience across every tool listed — but should have strong overall experience with the Microsoft Azure data & analytics ecosystem.

NICE TO HAVE
  • Experience with Automation / RPA / Power Platform
  • Experience with enterprise clients — manufacturing, EPC, infrastructure, or similar industries
  • Experience developing/implementing AI or Gen AI use cases in enterprise environments
IDEAL CANDIDATE PROFILE
  • 12–15 years total IT experience, with 7–10+ years relevant to Data, Analytics & AI
  • Strong communication and presentation skills; confident engaging senior stakeholders
  • Strong problem-solving and analytical mindset
  • Balances technical depth with business understanding
  • Self-starter who can independently drive initiatives and own outcomes
  • Proven people leadership and delivery management experience
  • Comfortable working 5 days/week from client office in Kurla, Mumbai, plus alternate Saturdays (WFH option available)
  • Available to join immediately or on short notice
EDUCATIONAL QUALIFICATION
  • Bachelor's degree in Computer Science / Computer Engineering or related field
  • Minimum 60% marks in 10th, 12th, and Graduation
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