Head - Data Management (8-12 yrs)

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