Data & AI Senior Manager

Job title/position\: Data and AI Senior Manager

Number of positions\:

1

Function and Business Unit\: Strategy and Operations\: Technology & Innovation (JHB / DBN)

Description of the role and purpose of the job\:

KPMG is looking for an experienced and talented Data and AI Senior Manager who will help to grow our data delivery team\: architecting, designing and implementing large-scale Data Platform, Business Intelligence (BI) and Analytics solutions for our clients.

The role is highly technical and requires a robust understanding and hands-on expertise of Microsoft Azure cloud technologies, data architecture and modelling concepts. The role also demands strong analytical, problem solving, and planning skills. The role requires strong communication and collaboration skills and the motivation to achieve results in a dynamic environment.

Key responsibilities\:

• Architecting and overall end-to-end design, deployment, and delivery of Azure Data

Platforms, across Data Lakes, Data Warehouses, Data Lakehouses, pipelines, BI and Data

Analytics solutions

• Presales, estimating and proposal writing, responding to RFPs

• Remaining up to date in new and emerging technologies

• Working with clients to develop data technology strategy and roadmaps, and plan delivery

• Oversight and support of delivery team outputs

• Data modelling, design, and build

• Enforcing technical architecture and documentation standards, policies, and procedures

• Analysing, implementing, and resolving issues with existing Azure Data Platforms

• Working with business experts and customers to understand business needs, and translate

business requirements into reporting and data analytics functionality

• Assisting in scoping, estimation, and task planning for assigned projects

• Following the project work plans to meet functionality requirements, project objectives and

timelines

• Providing accurate and complete technical architectural documents

• Addressing customer queries and issues in a timely manner

• Providing mentoring and hands on guidance to other team members

Business Development

• Identify, shape, and qualify new opportunities across existing and new clients.

• Lead proposal development, including solutioning, estimation, and presentation of approach and value proposition.

• Support go‑to‑market initiatives, thought leadership, and sales campaigns.

• Build long-term client relationships and contribute to practice growth targets.

Skills and experience required for the role\:

• Minimum of 8 years working in a similar senior role. Consulting experienced is an advantage

• Experience in designing and implementing Azure Data solutions using services such as\:

o Microsoft Fabric

o Azure Synapse Analytics

o Azure Databricks

o Azure Data Lake Storage Gen2

o Azure SQL Database

o Azure Data Factory

o Azure DevOps

o Azure Stream Analytics

o Microsoft Power BI

• Familiar with Azure Purview

• An understanding of Master Data Management and Data Governance frameworks

• Familiar with development approaches such as CI/CD

• Familiar with Azure DevOps

• Strong communication and collaboration skills

• Strong analytical thinking and problem-solving skills

• Ability to work as a team member and leader in a diverse technical environment

• Be customer-service oriented

• Be able to work in a fast-paced, changing environment

• Proficient in spoken and written English

• Willing to travel abroad when required

• Graduate-level education in Computer Science or a relevant field, or a widely recognised professional qualification at a comparable level or equivalent work experience

• Formal training and/or certification on related technologies is highly valued

• Knowledge of Common Data Models/Industry Data Models will be considered an asset

• Experience in OLAP technology and the Microsoft on-premises BI Stack (SSIS/SSRS/SSAS) will be useful but is not compulsory

• Knowledge of Microsoft Dynamics 365 products and the Microsoft Power Platform will be considered an asset

• Certification in data engineering, data science or analytics will be considered advantageous

Personal attributes\:

Self motivated, quick learner, ability to work in diverse teams