Business Information & Analytics Manager (JHB North) at Aspen Pharma Group

OBJECTIVE OF ROLE


The Data & Analytics Manager is responsible for establishing, governing, and evolving Aspen SA Commercial's data and analytics capability. The role ensures that trusted, high-quality, well-governed data is available to enable operational excellence, commercial insight, regulatory compliance, and informed decision-making across the business.
The role is accountable for the design and operation of modern data platforms, including cloud-based technologies such as Microsoft Fabric, and for enabling advanced analytics by ensuring high-quality, well[1]governed, and trusted data foundations across the organisations. The role will be required to explore and implement AI-driven improvements to the existing methodologies and frameworks and to ensure that strict governance is adhered to in the use of these tools


KEY RESPONSIBILITIES


Lead, coach, develop and manage Data and Analytics team across all analytics platforms to deliver innovative, accurate and on time solutions for SA Commercial.
Directs and oversees technical teams in the translation of business requirements and functional specifications into logical program designs.
Partner with BRMs, business leaders, and BEX to prioritise data initiatives.
Support cross-functional teams such as salesforce Effectiveness, Sales, Marketing, Supply Chain, HR, and Finance, on day-to-day execution of projects.
Identify and translate business needs into data capability requirements.
Act as a SME and trusted advisor on data[1]driven decision making.
Ensure that training and support is available for all users.
Business lead on the data acquisition, management, and deployment for SA Commercial.
Own and manage Aspen SA Commercial's data platforms and pipelines and ensure data accuracy.
Ensure reliable ingestion of data from SAP and other enterprise systems.
Design scalable, secure, and future-ready data architectures.
Oversee the development of automated, scalable, and thoroughly documented reporting solutions - Future Ready Architecture.
Work closely with IT to provide appropriate data and tools for the analytics team to be successful.
Enable AI-driven analytics and advanced insight generation by ensuring data is structured, governed, and fit for machine learning and automation use cases.
Partner with business, BEX, and Group teams to support responsible and scalable AI adoption.
Establish and enforce data quality standards Implement data governance practices including ownership, definitions, and controls.
Ensure compliance with internal policies and regulatory requirements.
Own and develop the vision, strategy, and execution for data analytics, ensuring scalability of systems, processes, and talent across SA Commercial.
Explore and propose new tools, methodology and practices enabling standardisation of procedures and their related reports.
Manage external business partners to ensure that service levels are met, invoicing processes completed, contract negotiations, renewals and terminations are completed in compliance to legal requirements.
Ensure that the BI environment is stable and sales performance and operational reports are available to business timely.
Drive innovation by developing a future-ready data-driven culture


Requirements
EDUCATIONAL REQUIREMENTS


Matric (Grade 12)
Bachelor's degree in computer science, Data Informatics, Information Systems, Information Technology or any other related degree
Preferred: Postgraduate in Computer Science, Data Informatics, Information Technology or related


KNOWLEDGE & EXPERIENCE REQUIREMENTS


5+ years' experience leading data and analytics teams
8+ years' experience in BI/Data/Analytics
Data Warehouse design and Implementation
Data processing and process modelling
Implementation of Data Governance Frameworks
Experience with MS Fabric and other data related technology
Experience with Enterprise Data Platforms (Azure Cloud, SAP)
Experience in managing teams and partners
Exposure to regulated industries is preferred (such as Pharma, FMCG, Banking)
Experience delivering multiple projects with diverse stakeholders


SOFT SKILLS AND COMPETENCY REQUIREMENTS


Strong analytical and systems thinking
Ability to translate business needs into data solutions
Pragmatic leader who balances speed with quality
Comfortable operating across business and technical domains
Excellent stakeholder management and communication skills - with ability to communicate with both business and technical teams
Structured, disciplined, and delivery-oriented
High levels of accountability and ownership
Strong analytical, reasoning, and problem-solving skills
Excellent planning, Organising and coordinating skills
Strong leadership skills and ability to use resources efficiently
Ability to work under pressure
Ability to think strategically and innovatively
Risk management
Results driven, accountable
Effective Problem-solving and decision-making
Commercial and strategic awareness
Strong interpersonal skills and Influencing capabilities


COMPUTER SKILLS REQUIRED


Data engineering and integration (ETL/ELT, APIs)
Data modelling (analytical and operational models)
Data quality, master data management, and reconciliation
Cloud data platforms (Azure, Fabric, Data Lake concepts)
SAP data structures and integration patterns
BI and analytics enablement
Data governance, security, and access controls
Understanding of GxP data considerations (advantageous)
Commercial value chain and related processes
Pharmaceutical business, business models and stakeholders, including FMCG and Finance
Data Analytics tools, concepts, architecture
Business and Data platforms e.g., Fabric/SQL//Excel/SAP
Data integration
IT Service Management
Agile Project Management
Planning, Budgeting and Forecasting processes Partner/vendor/SLA
Contract management, negotiation, and renewal
Microsoft Fabric (OneLake, data engineering, semantic models, analytics enablement)
Cloud data platforms and modern data architecture
Integration of AI and advanced analytics capabilities within enterprise data platforms
Understanding of AI-driven analytics use cases and data requirements