Data Science Manager
4 days ago
Job Description
To implement the Analytics standards in allocated business units, that contribute to the monetisation of data through the
development and delivery of advanced mathematical models and business principles that find hidden patterns and associations in data used to influence business strategy, inform channel design and make predictions on the behaviour of clients.
- Ensure adoption and localization of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.
- Establish goals and strategies for area of accountability in collaboration with senior data analytics management.
- Ensure ethical usage of information that complies to restrictions applied for privacy and sensitivity classification.
- Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.
- Ensure reporting of any Information Privacy Incidents and drive resolution of Privacy and Protection Audit.
- Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.
- Provide and use data and analytic insights to improve customer experience through a better understanding of the customers context to identify monetization opportunities.
- Manage analytics team in the creation of high-quality analyses for all functions of the business, across area of accountability.
- Create tactical plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.
- Drive team performance of analytics solutions; drive and enhance data systems and streamline business processes to impact overall business results while keeping costs in check.
- Analyse available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.
- Ensure analytics productionization in the approved FirstRand architecture by translating technical data information into practical business information that addresses identified needs.
- Analyse information requirements, availability and quality of data to feed into Data and information management function and forums for resolution.
- Oversee the appropriate manipulation and analysis of data for to meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.
- Integrate analytics into operational processes to improve efficiency and client experience.
- Ensure development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques.
- Manage overall project dependencies management and long-term prioritization of the business's overall analytical needs and opportunities.
- Define the business questions for Business unit that need be answered; define appropriate analytics models in addition to identifying and readying relevant data sources for analysis.
- Address business problems and opportunities through robust underlying analytics.
- Translate business requirements into tangible solutions or models utilizing own understanding of business value and interrelated nature of projects, models and processes.
- Provide requirements to Business Information.
- Management Function as Supplier or Owner of Data to ensure data is prepared for consumption as an organizational asset.
- Create team tactical plans for achievement of outputs or deliverables in collaboration with Technology stakeholders to ensure the effective implementation of analytical solutions and models to support business requirements.
- Maintain ownership and oversee the implementation of models.
- Monitor output and accuracy of models.
- Ensure the documentation and auditing of relevant models, projects and processes.
- Provide input into business strategies through data analysis that proactively improve efficiency, identify risks, save costs and drive innovation.
- Lead business through efforts that drive business performance and potential by using the existent and new data sources and techniques.
- Enable business unit to understand its own health, finds growth levers, and identify opportunities for optimization.
- Create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization and addressing unanswered business issues in a proactive manner.
- Ensure validation and interpretation of analytical results and creation of reports and presentations for data analytics management, departmental heads/management, and relevant stakeholders.
- Collaborate with numerous departments across the business to assist in the proper use of data that ensure delivery of desired operational results.
- Model and drive a data driven culture that values data as an asset with business value.
- Lead relevant change and communications functions to drive fu
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