Job Family

Project, Process and Product

Career Stream

Process

Job Purpose

The purpose of this role is that Centre of Excellence is to implement business analysis standards and practices. The role includes enhancing bank-wide business analysis procedures, ensuring high-quality deliverables, promoting best practices, coordinating professional communities, managing tools and resources for business analysis, and monitoring the continuous improvement of business analysts' performance. 

BA COE AI Specialist Job Purpose

An AI Specialist within the BA COE plays a pivotal role in integrating artificial intelligence solutions to enhance the capabilities and efficiency of business analysts. This position aims to leverage AI technologies to automate routine tasks, provide data-driven insights, and support decision-making processes. By implementing AI initiatives, the AI Specialist ensures that business analysts are equipped with advanced tools and methodologies, enabling them to focus on more strategic and analytical aspects of their role. Furthermore, the AI Specialist collaborates with cross-functional teams to identify areas where AI can drive significant improvements, thereby contributing to the overall mission of promoting best practices and continuous improvement within the bank.

Key responsibilities of the AI Specialist in the BA COE include

• AI Integration: 
• Identifying and integrating AI solutions that can augment the capabilities of business analysts, thereby improving their efficiency and effectiveness.
• Automation: 
• Developing and implementing AI-driven automation for routine tasks to free up business analysts to concentrate on strategic and analytical functions.
• Data Analytics & Insights: 
• Utilizing AI to derive actionable insights from data, facilitating informed decision-making processes within the bank.
• Collaboration: 
• Working closely with cross-functional teams to pinpoint and prioritize areas where AI can bring about significant performance enhancements.
• Best Practices: 
• Promoting and embedding AI best practices across the business analysis community to ensure consistency and high standards.
• Training & Development: 
• Providing training and resources to business analysts on AI tools and methodologies to ensure they are well-equipped to leverage these technologies.
• Continuous Improvement: 
• Monitoring and assessing the impact of AI initiatives on business analysis performance and iterating to drive continuous improvement.
• Innovation: 
• Staying abreast of the latest AI trends and technologies to ensure the bank remains at the forefront of innovation in business analysis.

Essential Qualifications - NQF Level

• A bachelor’s degree in computer science, Data Science, Artificial Intelligence, or a related field.

Preferred Qualification

• Proficiency in programming languages such as Python, Java, C++, or R, and experience with AI and machine learning frameworks.

Minimum Experience Level

• 3+ years solid AI experience

Types of exposures

• Proven working knowledge of Confluence and Jira for Cloud.
• Proven working knowledge of ARIS.
• Familiarity with machine learning algorithms, AI frameworks, and data visualization tools.
• Experience with data analysis tools and techniques.
• Natural Language Processing (NLP) including techniques for text classification, sentiment analysis, and language modelling and familiarity with NLP libraries.
• Knowledge of cloud computing and cloud platforms like AWS, Google Cloud, and Azure for deploying AI models.
• Advanced knowledge of Jira and Confluence in the Cloud.
• Proven experience in AI, machine learning, and data science.
• Excellent understanding of data structures, data modelling, and software architecture.

Technical / Professional Knowledge

• Analytical Expertise:
• Strong analytical skills to interpret complex data sets, identify business needs, and develop innovative AI solutions.
• Experience:
• Prior experience in AI development, data analysis, and business analysis, preferably in a financial or banking context.
• Communication Skills:
• Excellent verbal and written communication skills to effectively translate technical concepts to non-technical stakeholders.
• Collaboration Skills:
• Ability to work collaboratively within agile teams and across various business areas, ensuring alignment with organizational goals.
• Continuous Learning:
• Commitment to staying updated with the latest trends and advancements in AI technologies and methodologies to ensure continuous improvement and innovation.

Behavioural Competencies

• Effective Communication Skills:
• Proficiency in conveying complex technical ideas to both technical and non-technical stakeholders, ensuring clarity and understanding across all levels of the organization.
• Problem-Solving and Critical Thinking:
• A methodical approach to identifying, analysing, and solving intricate problems, which is essential for innovation and efficient workflow within AI projects.
• Adaptability and Flexibility:
• The ability to quickly adjust to new challenges, technologies, and methodologies in the rapidly evolving field of AI, ensuring sustained relevance and contribution to the organization's goals.
• Ethical Judgement:
• A keen sense of responsibility towards creating ethical AI solutions that consider societal impacts, user privacy, and data security.
• Team Collaboration:
• The capability to work effectively within diverse teams, contributing to a cohesive environment where knowledge sharing and collective problem-solving are encouraged.