Job Description
Job Overview
This role leads the retail data and analytics agenda, partnering with executives to align business and analytics strategies. It oversees data governance, policies, standards and data quality, ensuring resolution of data issues. Delivers insights, performance monitoring, predictive models and machine learning solutions customer experience.
Key Responsibilities
- Unlock business values using internal and external data for the overall achievement of short term, medium- and long-term goals.
- Enable and support “revenue growth” strategies, “cost reduction” strategies, “process improvement strategies”, and “risk reduction” strategies.
- Lead data and analytics agenda and serve as a trusted partner to key business decisions.
- Foster innovation leveraging, emerging Big Data and analytics technology.
- Strengthening competitive advantage through access to better information and insights
- Partners with business to align business and data analytics strategies to maximize the value of data and analytics investments
- Drive the Retail Bank’s data policies, standards, organization and provides a central authority for resolution on data management issues.
- Work with executives, data owners, and data stewards to achieve data accuracy and process requirement goals for all internal and external customers and create data management strategies,
- Drive Overall improvement in average revenue per customer, cost optimization and customer experience.
- Monitor Retail performance and proactively provide guidance on issues and challenges that could alter achievement of set goals and priorities
- Guide in development of data models according to the bank standards, build predictive models and machine learning algorithms
- Lead and mentor a team of data scientists, analysts and engineers
- Develop and implement the data strategy and roadmap for the organization
- Oversee data analytics projects from inception to completion
- Drive innovation by exploring new data sources and techniques
Job Grade: AM - MGR
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