Data And Analytics Division

Key Accountabilities (1)
Data Solutioning
- Evaluate effectiveness of proposed models and track business performance against data analysis
model.
- Build cutting-edge algorithms and work with machine learning and deep learning tools to deliver
advance analytics solutions across the firm including recommendation engines, customized data
models, customer journeys, graph modes, etc.
- Drive application of machine learning and big data techniques across different journeys and
squads.
- Manage, execute, and review complex data science projects in an agile manner and in compliance
with internal regulatory requirements.
Key Accountabilities (2)
Data Insighting
- Lead the identification and interpretation of meaningful and actionable insights from large data and
metadata sources.
- Review processes and tools designed to monitor and analyze model performance and data
accuracy.
- Proactively lead discussions in 3+ squads to identify questions and issues for data analysis
- Collaborate with Data Engineers to build complex, technical algorithms in data analytics software
applications to improve work efficiency.
Key Accountabilities (3)
Projects Management
- Manage project conflicts, challenges and dynamic business requirements to keep operations
running at high performance.
- Work with team leads to resolve people problems and project roadblocks, conduct post mortem
and root cause analysis to help squads continuously improve their practices to ensure maximum
productivity.
Talent Development
- Mentor and coach Data Analysts into fully competent Data Scientists.
- Identify and encourage areas for growth and improvement within the tribe.