Job Description - Innovation & Digital Transformation Manager
BIOVAC is one of the leading sterile vaccine manufacturers rooted in Africa, with our core purpose being to "protect life". We are looking to hire a hands-on, dynamic, passionate, confident, proactive and meticulous Innovation & Digital Transformation Manager to join a goal-oriented team
QUALIFICATIONS NEEDED:
Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Business or related field
5+ years experience in digital transformation, technology management or innovation roles
Proven track record of leading data teams and delivering AI or advanced analytics projects
Preferred:
Certification in AI, Cloud Architecture or Digital Strategy (e.g. Azure AI, AWS, Google Cloud)
Experience in pharmaceutical, life sciences or FMCG sector
Experience needed to deliver the role seamlessly:
Demonstrated ability to apply AI solutions in live operational contexts
Experience managing and developing a data or digital team
Deep understanding of AI/ML, large language models, automation and practical business application
Deep understanding of Microsoft Azure, Power Platform, Microsoft Fabric or equivalent enterprise data stacks
Strong project management and innovation lifecycle management experience
Senior and executive level stakeholder management
Preferred:
Knowledge of GxP, GMP or pharmaceutical regulatory compliance requirements
Experience with AI vendor management, PoC pilots and innovation labs
Understanding of POPIA compliance and information security in a regulated environment
KEY DUTIES & RESPONSIBILITIES OF THE ROLE:
Core Technical Delivery:
People Management
Lead, manage and develop the data and innovation team including Data Scientists, Analysts and Digital Project resources
Set clear performance objectives and provide ongoing coaching, mentoring and feedback
Build team capability in emerging technologies with emphasis on AI literacy and practical application
Foster a culture of experimentation and continuous learning within the team
Manage team capacity, resource allocation and succession planning
Innovation Strategy & AI Application
Define and execute the organisation's innovation and AI roadmap aligned to the overall IT and business strategy
Identify, evaluate and pilot new technologies including Generative AI, automation and predictive analytics
Translate AI capabilities into practical, production-ready business solutions
Lead proof-of-concept and proof-of-value engagements with technology partners
Build business cases for technology investments and present to executive leadership
Digital Transformation Programme Management
Drive the digital transformation programme across business units
Identify and prioritise process automation, digitisation and optimisation opportunities
Manage multiple innovation and digital projects simultaneously within agreed timelines and budgets
Establish governance frameworks for innovation project selection and delivery
Report on transformation progress, value delivered and lessons learned to executive leadership
Data Strategy & Governance
Oversee the organisation's data projects and system including architecture, quality, governance and democratisation
Hands-on delivery and involvement in data projects
Ensure data assets are managed as a strategic resource aligned to business priorities
Drive adoption of self-service analytics and data-driven decision-making
Ensure compliance with POPIA, data privacy regulations and information security policies
Partner with rest of the IT team on data infrastructure, cloud platforms and enterprise data stack
Technical Competencies:
People leadership and talent development
Performance management and coaching
People leadership and talent development
Performance management and coaching
Change management in technology-driven environments
Applied AI / ML: LLMs, generative AI, machine learning, and intelligent agents
Programme and project management (Agile, PRINCE2 or equivalent)
Enterprise data platforms: Microsoft Fabric, Azure, Power BI or equivalent
Data engineering fundamentals (ETL/ELT): data extraction, transformation, and integration
Data visualisation and storytelling: dashboards, reporting, and insight generation
Data architecture and cloud platforms
POPIA and data privacy compliance
Application Deadline: 24 April 2026
If you do not receive a response from us within three weeks after closing date please understand that your application was not successful.
Disclaimer:
Dear Applicant, we appreciate your interest in joining our organization. It is imperative for us that you understand how we handle your information. We are committed to ensuring the security and confidentiality of the information you provide. Your personal details will be collected for the sole purpose of the application process and will be used strictly for that purpose. By applying, you acknowledge and consent to the collection, use, and protection of your personal information in accordance with our privacy policy. If you have any inquiries or concerns, our Human Capital department is available to provide clarification. We look forward to reviewing your application.''
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