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.