Role & responsibilities

Setting strategic direction for data science and data architecture client engagements
- Translating business needs into data solutions, delivery plans, and measurable outcomes
- Leading executive client discussions on analytics strategy, AI-enabled transformation, and data modernization
- Guiding teams in designing data models, pipelines, and cloud-based data platforms
- Applying statistical analysis, predictive modeling, and machine learning techniques to complex business problems
- Shaping data delivery approaches that improve data quality, governance, and scalability
- Developing thought leadership, current solution concepts, and reusable delivery methods for emerging data needs
- Driving business growth by identifying opportunities for advanced analytics, automation, and data engineering services
- Mentoring team members and building capability across data science and data engineering disciplines




- Coordinating with multidisciplinary teams to deliver analytics, visualization, and data products across client programs

What Sets You Apart

- Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Demonstrating leadership in data architecture and delivery programs
- Translating client needs into scalable data solutions
- Developing thought leadership across analytics and AI
- Balancing strategic direction with delivery details
- Mentoring teams across complex engagements
- Adapting to changing priorities while driving innovation

📌 Data Delivery Leads / Data Architects - Director (Hyderabad)
🏢 PwC
📍 Hyderabad