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Associate Director – Data Lake House
2 years ago
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The role is responsible for gathering, transforming, and storing data through data acquisition, metadata management, data cleansing, data transformation, data distribution and data recovery/backup planning.
- Analyse, define, document, and prioritise business and functional requirements for development and deployment of target state products, processes and technology while working with stakeholders.
- Articulate and document process end to end business process flows.
- Perform impact analysis to determine functional, technical & operational impact and clear communicate with all functional teams.
- Take changes end to end from business requirements through to implementation and post implementation support ensuring there is a seamless and minimal risk implementation
- Carry out defect analysis, prioritization of fixes and verification of production functionality
- Support planning, tracking, and reporting of progress of requirements delivery including production verification and testing of functionality
Business
- Support the private markets and technology leadership to increase market-share and margin through technology
- Implement a process for continuous improvement, lower costs to serve and improving margins
- Develop and deliver scalable solutions that can be applied to clients and the business
People
- Lead a world-class team of experienced engineering and delivery experts within technology, data and business intelligence
- Drive a passion and core competency across the organization for technology transformation
- Coordinate comprehensive changes to update how we work or develop new ways of working
- Set the priorities and focus for local and regional teams to support global engineering and delivery of core internal and client products and services.
Educational Requirements
- University (Degree) Preferred
Work Experience
- 5+ Years Required; 7+ Years Preferred
Related Skills
Collaboration, Continuous Improvement Mindset, Data-Driven Business Intelligence, Data Engineering/Analytics, Data Visualization, Predictive Modeling, Problem Solving, Programming, Resourcefulness, Statistics, Story Telling