Data Enablement & Insights Lead

• Formulate and implement a comprehensive data insights and analytics enablement strategy aligned with NCIB's business objectives.
• Create significant value by harnessing the potential of enterprise-wide data and translating it into valuable business solutions.
• Collaborate with cross-functional teams to develop data-driven products and services. Identify opportunities and trends to leverage data products to unlock business value.
• Drive and foster a culture of data literacy and data lead decision making in NCIB.

• Ensure compliance with data privacy and industry regulations, maintaining high standards of data governance.
• Define and track key performance indicators (KPIs) to measure the success of data insights enablement initiatives.
• Consistent Engagement and alignment with the Data Management Office and respective mandate.

• Establish and manage strategic partnerships with the internal Nedbank data eco-system and external stakeholders to enhance data enablement efforts.
• Talent Development: They play a key role in developing and mentoring data analytics talent within the organization, ensuring that your team has the skills needed to tackle complex data challenges.
• Build and lead a high-performing team of data professionals. Embrace agile thinking to identify opportunities for improving business processes, models, and systems, leveraging extensive expertise to make informed decisions.

• Lead BI initiatives across business.
• Leverage expertise in data toolsets for Business Intelligence, data preprocessing, advanced statistical analysis, machine learning, in developing data pipelines and solutions.
• Leverage expertise in cloud computing to successfully deploy large-scale data science solutions on cloud platforms

• Colloborate with business units within CIB to deliver on Analytics initiative and drive analytics capabilty for the areas.
• Facilitate cross-functional alignment and ensure stakeholder requirements are captured and met

• Matric / Grade 12 / National Senior Certificate
• Advanced Diplomas/National 1st Degrees

• Microsoft Certified: Power BI Data Analyst Associate: PL-300
• Microsoft Azure Data Fundamentals: DP-900
• Microsoft: Azure Enterprise Data Analyst Associate: DP-500

• Microsoft Fabric Analytics Engineer Associate: DP-700
• Implement a data science and machine learning solution with Microsoft Fabric
• Other BI Certifications: Qlik, Tableau etc.

• 5 years in a leadership role.
• Minimum of 10 years of experience in Business Intelligence and Data Science.
• 5 years of developing PowerBI / Data Fabric Reporting and Complex Dashboards
• Data Storytelling expertise and experience is essential.
• Proven track record of developing and executing data analytics strategies.
• 7 years’ experience in deploying multiple end to end analytical solutions in an organisation
• 7 years’ experience working in data warehousing environment
• Experience working with large data sets, simulation/ optimization, and distributed computing tools
• Experience with working in machine learning, Deploying Solutions to stakeholders.
• Experience Data Integration/Pipelines, Data Modelling and best practice Visualisation
• Experience in financial services or investment banking environment preferred.
• Agile methodology experience, working alongside engineering teams a must.

• Strategic thinker with a visionary mindset.
• Strong ability to engage with people in business across multiple levels.
• Results-oriented with a focus on driving revenue growth and operational efficiency.
• Strong leadership and team management skills.
• Ability and desire to work collaboratively with cross-functional teams.
• Excellent written, verbal communication and presentation skills.
• Strong analytical and problem-solving skills.
• Knowledge of data privacy laws and regulations.
• Strong Adaptable attitude and able to thrive in a fast-paced, start-up like environment with a go-getter mindset.
• Finance / concepts or terminology beneficial, very good understanding how all functions of business work, is essential.
• Demonstrate initiative and self-motivation.
• Thrives and effective in a high-pressure environment.

• Data Mining
• Research and analytics
• Data analysis
• Statistical Analysis
• data/ data structures
• Presentation Skills
• Problem solving skills
• Supervised Learning
• Big Data Technologies
• Strategic Thinking
• Unsupervised Learning
• NLP
• Deep Learning
• Re-inforcement Learning
• Feature Engineering/Selection
• HyperParameter Tuning
• programming
• Model Deployment/Monitoring
• Model Scaling
• Data Integration/Pipelines
• Data Modelling
• Data Visualisation
• Domain Knowledge
• AI Ethics and Fairness

• Decision Making
• Innovation
• Technical/Professional Knowledge and Skills
• Customer Focus
• Applied Learning
• Continuous Improvement

Nedbank