Head: Data Enablement & Insights

Job Family

Information Technology  

Career Stream

Application Development

Leadership Pipeline

Manage Self Professional

Job Purpose

A dynamic and strategic Head of Data analytics and insights enablement for CIB. This individual will establish and lead our efforts in transforming data into valuable business assets. This role will be responsible for collaboratively developing and executing strategies to commercialise our data, driving growth, efficiency and enhancing our competitive edge in the market.

Job Responsibilities

Strategy and Solution Development: 

• 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.

Data Governance and Performance Metrics: 

• 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.

Partnerships and Team Leadership: 

• 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.

Enablement and Innovation

• Leverage expertise in data toolsets for data preprocessing, advanced statistical analysis, machine learning, in developing data pipelines and solutions.
• Apply advanced analytical techniques, such as machine learning (ML) and artificial intelligence (AI), to support business objectives and create value.
• Leverage expertise in cloud computing to successfully deploy large-scale data science solutions on cloud platforms
   

Essential Qualifications - NQF Level

Preferred Certifications

• SAS Data Scientist certification
• Microsoft Data Scientist
• ML Engineering or related field, statistics, data optimization,
• Cloud (Azure, AWS), DEVOPS or Data engineering certification

Minimum Experience Level

• 5 years in a leadership role.
• Minimum of 10 years of experience in data analytics, or a related field,
• Proven track record of developing and executing data analytics strategies.
• Experienced in deploying or contributed to deployment of multiple end to end data science solutions in an organisation
• Experience working with large data sets, simulation/ optimization, and distributed computing tools
• Experience working with machine learning, statistics, optimization, ML Engineering or related field
• Data Integration/Pipelines, Modelling and Visualisation

Skills Required

• Strategic thinker with a visionary mindset.
• Results-oriented with a focus on driving revenue growth.
• 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.
• Adaptable and able to thrive in a fast-paced, start-up like environment

Technical / Professional Knowledge

Behavioural Competencies

Employment Equity Statement

Preference will be given to underrepresented groups.