Chief Data and Analytics Officer
4 days ago
Job Description
To formulate tactical strategy and associated delivery plans for Pricing, Data, Information Management and Analytics practices which enable integration and operational implementation at a BU level and unlocks the commercial value of data with a view to create profit, drive innovation and achieve value for both customers and the business.
- Lead the Data and Analytics function across area of responsibility to create business value through extraction of data and implementation of analytics models for use across the group.
- Establish mutually beneficial relationships with stakeholders, that support thought leadership, innovative and integrated practice solutions.
- Drive integration and commercialisation of data between data and analytics while meeting business and function related data and analytics requirements to enable a platform business.
- Ensure that the team and vendors perform optimally and deliver high quality and accurate data and information through efficient execution of functional projects.
- Implement and provide input into the development of governance and compliance procedures and processes within area of accountability and identify risks.
- Maintain expert knowledge on relevant legislative amendments, industry best practices and internal compliance procedures and requirements.
- Participate in relevant partnership models with other CDAO offices, business leaders and stakeholders to mature data and analytics for segment.
- Manage the relationship with relevant business stakeholders and other CDAO offices.
- Represent the business unit at Business Data and Analytics Exco.
- Represent Data and Analytics at the BU Exco.
- Model and drive a data driven culture that values data as an asset with business value.
- Assume accountability for developing data products and drive adoption and monetisation of such within relevant business unit.
- Encourage reuse and adoption by other business units across the group where appropriate.
- Oversee data and analytics function to ensure data quality, security and creation of business intelligence that inform business decisions.
- Ensure adoption and localisation of common frameworks, practices, processes, standards and integration of data and analytics value chain at BU level.
- Create a strategic roadmap for achievement of outputs and deliverables.
- Identify and enable opportunities for business value extraction of data and implementation of analytics models.
- Ensure BU platform alignment, governance, policy standards alignment and integration.
- Lead prioritisation for BU data and analytics projects etc.
- Assume accountability for monetisation of data at the BU level.
- Assume accountability for information management i.e., information architecture, metadata, master and reference data, data development and warehousing, content, document and records, data quality, storage and operations, information security and data privacy management to ensure required standards and practices across data production, management and consumption as well as analytics practices across the BU leverage existing structures and capabilities.
- Assume responsibility for BU Pricing including determination of customer pricing, modelling of expected pricing changes and management of pricing on a day-to-day basis.
- Leverage data and analytics to influence and improve customer experiences, operational processes and solution design.
- Ensure ethical usage of data and 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 data privacy incidents and drive resolution of privacy and protection audit findings, complaints, incidents, investigations and privacy and protection assessments.
- Integrate data and analytics value chain across the relevant BU, identifying opportunities for shared value.
- Lead and encourage business conversation regarding use cases, model usage, implementation of relevant practices etc.
Role Requirements
- Post-graduate degree in a relevant field
- Minimum 5 years in a leadership role
- 8-10 years’ experience in data or analytics related functions
- Knowledge of cross-border or similar payment environment will be highly advantages
- Data Modelling experience and working off big data platforms to enable analytics.
- Data Architecture and Technology design experience required.
- Knowledge and experience in developing, operationalising and maintaining advanced statistical and machine learning models
- Ability to lead through influence
POST
FNB
LI-NM7
Job Details
04/12/24
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