Lead enterprise data science and analytics initiatives, including predictive and prescriptive modeling, AI/ML solution deployment, dashboards, forecasting, data governance, automation, and scalable data pipelines. Partner with business and technology leaders to translate business challenges into measurable analytical outcomes, drive digital transformation, and present insights to senior leadership.
Responsibilities
Qualifications
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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