Senior Manager: Intelligent Automation at Auditor-General of South Africa

About the job

The key role of the Senior Manager: Head of Business Intelligence is to effectively manage and develop the Business Intelligence (BI) capability within AGSA centered on providing insight and aiding in business decision-making.

Roles & Responsibilities:

• Provide strategic inputs to the strategy of the business unit (BU) and manage the output of the centre to ensure implementation of the BU balance score card (BSC) initiatives.
• Develop, drive and manage the Business Intelligence strategy to mitigate macro-environment indicators that impact the audit portfolio.

Product Management:

• Establish Business Intelligence Centre of Excellence (CoE) within AGSA
• Define the strategy, vision and governance for the BI capability
• Data warehouse definition and maintenance
• Data lake definition and maintenance
• ETL establishment, governance and maintenance
• Establishment of self-service BI, through cube development
• Perform a general management function for the BI Team
• Plan projects to produce reports and perform meaningful quantitative, qualitative analysis addressing impactful business issues
• Manage the BI development team in order to ensure effective BI tools are developed for the business
• Establish, capacitate and lead a high performing team to deliver BI solutions and define the org structure for the capability.
• Define, develop and take overall accountability of the data warehouse and integrity of all information loaded into it.
• Maintain awareness of the overall BI strategy and ensure it is implemented throughout the team
• Ensure data is transformed into the correct format for the warehouse and loaded into the warehouse accurately
• Plan and manage team resources through scheduling and load balancing to achieve team objective, SLAs
• Defines and track metrics related to project or program and the overall BI roadmap
• Define and assign people and related skills to support an effective and sustainable BI program.
• Ensure project/department milestones/goals are met and adhering to approved budget.

Stakeholder Management:

• Build and maintain strategic relationships/partnerships with the relevant stakeholders and or research institutions that enhance the audit risk intelligence value proposition.
• Build and sustain value adding relationships with internal stakeholders to conduct relevant micro environmental scanning and or needs analysis that will inform relevant research projects for the BU.
• Provide strategic support and guidance to internal stakeholders on audit risk management strategies in order to ensure alignment within portfolios and organisation.
• Collaborate with internal stakeholders portfolio and contribute in delivery of audit risk related products and processes in the organisation.
• Partner with support and business lines to understand business value that can be achieved through the use of BI, data and analytics

People Management:

• Implement the activities outlined on the BU People Plans.
• Manage team performance to drive productivity.
• Contribute to transformation/culture plans.
• Motivate, coach and mentor staff to ensure maximum productivity and development of the staff to their full potential.
• Participate in initiatives to attract talent.
• Cascade vision achievement/ organisation alignment messages and commitments.
• Allocate and manage training initiatives for optimal team performance
• Vendor Management
• Conduct interviews to capacitate team

Financial management:

• Contribute to compiling the BU budget.
• Manage resources effectively and efficiently to comply with budget requirements.
• Ensure that research projects are delivered within allocated budget.
• Ensure compliance with internal processes and procedures.
• Ensure compliance with SCM in AGSA.

Skills, Experience & Education:

• Degree in Computer Science/IT/Informatics
• Certification on at least 1 BI tool

Experience:

• A minimum of 8-10 years’ work experience, in a technology related environment
• 5 years data analytics or business intelligence experience (Essential)
• Knowledge of data warehousing and analytics
• Knowledge of BI tools, concepts and architecture and decision support concepts
• Knowledge of ETL and data analysis with focus on data integrity
• Extensive expertise in data modelling, both logical and physical
• Strong project management and team management skills
• Experience working with Data Lake or unstructured data
• Experience working with Power BI platform
• Experience working with SQL Server(SSMS,SSIS,SSAS) platform
• Solid understanding of data security and privacy technologies