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Recently postedFull timeTechnology

Lead - Data Sciences & Analytics

AdaniMumbai🇮🇳India

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationMumbai, India
Stakeholder ManagementGCPSQLAWSETLNLPTableauCRMERPComplianceContinuous ImprovementDatabricksDeep LearningForecastingHadoopPythonGenerative AIAzureMachine LearningPower BIProject ManagementData Analysis

Job description

Associate Manager - Data Science & Analytics (O5)

Business: Adani Group
Department: Digital Transformation / Data Science & Analytics
Location: Ahmedabad / Mumbai / Project Locations

Key Responsibilities Data Analytics & Business Intelligence

  • Analyze large and complex datasets from multiple sources to generate actionable business insights.
  • Design and develop dashboards, KPIs, scorecards, and reporting frameworks for leadership review.
  • Establish data governance standards, data quality controls, and reporting accuracy mechanisms.
  • Conduct trend analysis, forecasting, and root-cause analysis to support key business decisions.

Data Science & Machine Learning

  • Develop predictive and prescriptive analytics models to improve business outcomes.
  • Build and deploy Machine Learning (ML) and Artificial Intelligence (AI) solutions for various business functions.
  • Work on demand forecasting, risk analytics, productivity optimization, cost reduction, and resource utilization models.
  • Evaluate emerging AI technologies and recommend innovative use cases across the organization.

Data Engineering & Automation

  • Collaborate with technology teams to build scalable data pipelines and analytics platforms.
  • Automate recurring reports and analytical processes using advanced data tools.
  • Ensure seamless integration of data across ERP, CRM, HRMS, Project Management, and operational systems.

Stakeholder Management

  • Partner with Business Heads, Functional Leaders, and Project Teams to understand analytical requirements.
  • Translate business challenges into data science use cases and measurable outcomes.
  • Present analytical findings and recommendations to senior leadership in a clear and impactful manner.

Innovation & Digital Transformation

  • Drive AI-led digital transformation initiatives across business units.
  • Identify opportunities for process optimization through advanced analytics.
  • Benchmark industry best practices and implement innovative analytical frameworks.

Required Qualifications

  • B.E./B.Tech / MCA / M.Tech in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Analytics, or related discipline.
  • Master's degree in Data Science, Business Analytics, AI/ML, or equivalent preferred.

Experience

  • 8-12 years of experience in Data Analytics, Data Science, Business Intelligence, or AI/ML domains.
  • Experience working on enterprise-scale analytics projects.
  • Exposure to infrastructure, manufacturing, construction, energy, logistics, or EPC sectors will be preferred.

Technical Skills

  • Strong proficiency in Python, R, SQL, and data analytics tools.
  • Experience with Machine Learning, Deep Learning, NLP, and Generative AI applications.
  • Hands-on experience with Power BI, Tableau, QlikView, or similar BI platforms.
  • Knowledge of cloud platforms such as Azure, AWS, or GCP.
  • Experience with big data technologies including Spark, Hadoop, Databricks, or similar ecosystems.
  • Understanding of data warehousing, ETL, and data governance frameworks.

Behavioral Competencies

  • Strategic Thinking
  • Business Acumen
  • Analytical & Problem-Solving Skills
  • Stakeholder Management
  • Innovation & Continuous Improvement
  • Leadership & Team Collaboration
  • Result Orientation
  • Communication & Presentation Skills

Key Deliverables

  • Enterprise Analytics Strategy Execution
  • AI & Machine Learning Solution Deployment
  • Automated Reporting & Dashboarding
  • Predictive Analytics Models
  • Data Governance Compliance
  • Business Insight Generation
  • Operational Efficiency Improvements
  • Digital Transformation Enablement

Grade: O5 - Associate Manager

Required Qualifications

  • B.E./B.Tech / MCA / M.Tech in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Analytics, or related discipline.
  • Master's degree in Data Science, Business Analytics, AI/ML, or equivalent preferred.

Experience

  • 8-12 years of experience in Data Analytics, Data Science, Business Intelligence, or AI/ML domains.
  • Experience working on enterprise-scale analytics projects.
  • Exposure to infrastructure, manufacturing, construction, energy, logistics, or EPC sectors will be preferred.

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