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Product Manager- Data, Analytics & AI

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Onsite

Product Manager- Data, Analytics & AI

Withremote Solutions

Product Manager- Data, Analytics & AI

Skills

SQL QueriesData EngineeringDatabricksData AnalysisMachine LearningAIMicrosoft Power PlatformProduct ManagerPower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹2,250,000 – ₹2,500,000 / year

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

8 September 2026

What they need


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 Credenca, working full-time from the client's Mumbai office, acting as the key bridge between the Credenca 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: 22–27 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 Credenca 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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