Head - Data Management

Key Responsibilities : - Design, develop, and optimize ETL/ELT pipelines to process structured and unstructured data. - Design and maintain a modern data warehouse/Lakehouse architecture. Implement data partitioning, indexing, and performance tuning strategies. - Implement robust cataloguing, data quality rules, validation checks, and monitoring systems. Define appropriate data privacy and security guidelines. - Take ownership of business metrics end to end from extracting and exploring data, generating hypotheses, building a structured analysis, automating repetitive tasks, and rigorously evaluating methods and results. - Work with stakeholders to define and implement key business metrics. Establish real-time monitoring for critical KPIs. - Build and maintain BI dashboards automation with consistency and accuracy in reporting. - Perform A/B testing, generate and validate business hypotheses. design analytical frameworks for product funnels, biz ops. - Empower business teams with self-service reporting and data crunching. - Build predictive models (e.g., churn prediction, demand forecasting, route planning, fraud detection). - Develop Advanced ML solutions like recommendation systems, image processing, Gen AI applications. - Deploy machine learning models into production. Model monitoring, updation,documentation - Partner with product managers, engineering, risk, marketing, and finance teams to align analytics with business goals. - Build and mentor a high-performing analytics team. Define the analytics vision and strategy and translate into actional roadmap and team initiatives - Present actionable insights to senior executives and stakeholders. - Solve ambiguous problems through a structured framework. Priorities high impact work, execute and communicate the insights to senior management Qualifications : - 8-12 years with at least 6 years in delivering analytical solutions in B2C consumer internet companies. - Bachelor's Degree in a data related field - Industrial Engineering, Statistics, Economics,Math, Computer Science, and Business etc. - Strong Python, R, TensorFlow, PyTorch, and Scikit-learn expertise - Hands-on with AWS, GCP, or Azure for ML deployment - Proven experience in Power BI report development. - Experienced in ETL pipelines, data modeling, and distributed systems - Expertise in supply chain processes and demand forecasting with skill in time series models and regression analysis - Strong documentation skills and ability to explain complex technical concepts to non- technical personnel (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/1/2025