Manager - Advance Analytics

As an experienced Manager Advanced Analytics, your role involves leading the development and deployment of cutting-edge analytics, machine learning, and AI-driven solutions to drive enterprise decision-making. You will be responsible for delivering scalable, high-impact predictive and intelligent automation capabilities. Key Responsibilities: - Lead the design and deployment of advanced forecasting solutions across business functions such as demand, supply, and operations - Build and productionize machine learning models for prediction, classification, segmentation, and anomaly detection - Drive adoption of AI-driven and intelligent automation solutions to enhance decision-making and operational efficiency - Identify and apply the right mix of statistical modeling, machine learning, and AI approaches based on business needs Develop robust forecasting and predictive models using time-series, machine learning, and advanced analytical techniques. Establish best practices for feature engineering, model validation, accuracy tracking, and ongoing monitoring. Translate complex analytical outputs into clear, actionable business insights for stakeholders. Deploy analytics and AI solutions on cloud platforms, ensuring scalability, reliability, and security. Integrate models into enterprise systems and workflows to enable real-time decision support. Define reusable frameworks and standards to accelerate solution delivery and adoption. Ensure adherence to governance, compliance, and responsible AI practices. Lead end-to-end delivery of analytics initiatives from problem definition to production deployment. Partner with Product, Data Engineering, IT, and business stakeholders to identify and prioritize high-impact use cases. Communicate insights and value outcomes effectively to senior leadership. Lead, mentor, and grow a high-performing team of data scientists and analysts. Build organizational capability in forecasting, machine learning, and AI-driven decision intelligence. Drive best practices, technical reviews, and cross-team knowledge sharing. What Were Looking For: - Strong experience in advanced analytics, machine learning, and forecasting - Proven ability to translate business problems into scalable data solutions - Hands-on experience delivering production-grade analytics or AI solutions - Deep understanding of modern data science methodologies and model lifecycle management - Strong leadership and stakeholder management skills - Ability to drive innovation and influence decision-making across the organization Qualifications: Required: - Bachelors or Masters degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, or related) - 810 years of experience in analytics, data science, or machine learning roles - Strong expertise in forecasting techniques and predictive modeling - Proficiency in Python, SQL, and analytics workflows - Experience working with cloud platforms (e.g., Azure, AWS, or GCP) - Proven experience leading teams and cross-functional initiatives Preferred: - Experience in demand planning, supply chain, or commercial analytics - Exposure to optimization, causal modeling, or decision intelligence frameworks - Familiarity with MLOps, governance, and responsible AI practices - Experience in consumer, operations, or enterprise analytics domains As an experienced Manager Advanced Analytics, your role involves leading the development and deployment of cutting-edge analytics, machine learning, and AI-driven solutions to drive enterprise decision-making. You will be responsible for delivering scalable, high-impact predictive and intelligent automation capabilities. Key Responsibilities: - Lead the design and deployment of advanced forecasting solutions across business functions such as demand, supply, and operations - Build and productionize machine learning models for prediction, classification, segmentation, and anomaly detection - Drive adoption of AI-driven and intelligent automation solutions to enhance decision-making and operational efficiency - Identify and apply the right mix of statistical modeling, machine learning, and AI approaches based on business needs Develop robust forecasting and predictive models using time-series, machine learning, and advanced analytical techniques. Establish best practices for feature engineering, model validation, accuracy tracking, and ongoing monitoring. Translate complex analytical outputs into clear, actionable business insights for stakeholders. Deploy analytics and AI solutions on cloud platforms, ensuring scalability, reliability, and security. Integrate models into enterprise systems and workflows to enable real-time decision support. Define reusable frameworks and standards to accelerate solution delivery and adoption. Ensure adherence to governance, compliance, and responsible AI practices. Lead end-to-end delivery of analytics initiatives from problem definition to production deployment. Partner wit