150 Technology Innovation jobs in South Africa

Principal AI Technology & Innovation Specialist

Make an impact with NTT DATA. Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

The Principal AI Technology & Innovation Specialist is a highly skilled subject matter expert with deep expertise in emerging AI technologies, advanced analytics, and AI system architecture. This role is accountable for the strategic assessment, experimentation, and enablement of cutting-edge AI solutions within the organization, driving innovation and ensuring AI readiness across internal platforms and client-facing services.

The primary objective of this role is to stay at the forefront of AI innovation by evaluating, piloting, and recommending next-generation AI technologies and vendor capabilities. The specialist serves as a strategic advisor and hands-on innovator, influencing architecture, engineering, and product teams to integrate AI capabilities in scalable and responsible ways.

Key Responsibilities

• Lead the evaluation and strategic assessment of emerging AI technologies, platforms, and vendor solutions, advising on technical and ethical feasibility.
• Design and guide the development of AI capabilities and innovation pilots, translating business goals into AI-enabled solutions.
• Define architectural blueprints for integrating AI technologies into IT systems and product platforms, ensuring security, scalability, and alignment with enterprise standards.
• Develop frameworks for responsible AI adoption including model evaluation, explainability, privacy, compliance (e.g., EU AI Act), and ethical use.
• Partner with product and platform teams to align AI innovations with enterprise technology strategy and business outcomes.
• Drive initiatives for AI prototyping, proof-of-concepts (PoCs), and production readiness assessments.
• Monitor vendor roadmaps and contribute to the strategy for selecting and onboarding external AI capabilities.
• Act as a center of excellence for AI within the IT organization, driving awareness, knowledge sharing, and standardization.
• Collaborate with enterprise architects and platform leads to integrate AI tools into data infrastructure, software architecture, and cloud environments.
• Perform technical due diligence on third-party AI services and models, ensuring fit-for-purpose and cost-effective solutions.
• Continuously improve internal innovation processes and methodologies to increase the speed and quality of AI-driven transformation.

Knowledge and Attributes

• Deep knowledge of modern AI paradigms including generative AI (e.g., LLMs), machine learning infrastructure, AI model lifecycle, and MLOps.
• Strong understanding of AI model risks and evaluation techniques, with experience applying responsible AI principles in enterprise environments.
• Excellent ability to assess multi-vendor and open-source AI offerings for enterprise adoption.
• Advanced knowledge of reference AI architectures, integration models, and cloud-based AI toolchains.
• Ability to translate business needs into technical AI strategies, architectures, and implementation roadmaps.
• Excellent communication and stakeholder management skills across technical, executive, and vendor audiences.
• Strategic thinker with the ability to rapidly assess the value and risks of new AI technologies and innovation trends.

Academic Qualifications And Certifications

• Bachelor’s degree or equivalent in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Advanced degrees (MSc/PhD) in AI/ML fields preferred.
• TOGAF, COBIT, or related enterprise architecture certifications are beneficial.
• Certifications in machine learning or cloud-based AI platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI Engineer) are advantageous.

Required Experience

• Extensive experience in leading enterprise AI innovation and architecture initiatives.
• Proven track record of evaluating, piloting, and operationalizing AI solutions in enterprise environments.
• Experience working across multiple industries and large-scale IT organizations.
• Hands-on experience in AI/ML development, integration, and lifecycle management.
• Familiarity with regulations governing AI use, such as the EU AI Act, and experience in operationalizing compliance measures.

#J-18808-Ljbffr

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Your day at NTT DATA

The Principal AI Technology & Innovation Specialist is a highly skilled subject matter expert with deep expertise in emerging AI technologies, advanced analytics, and AI system architecture. This role is accountable for the strategic assessment, experimentation, and enablement of cutting-edge AI solutions within the organization, driving innovation and ensuring AI readiness across internal platforms and client-facing services.

The primary objective of this role is to stay at the forefront of AI innovation by evaluating, piloting, and recommending next-generation AI technologies and vendor capabilities. The specialist serves as a strategic advisor and hands-on innovator, influencing architecture, engineering, and product teams to integrate AI capabilities in scalable and responsible ways. This includes defining technical blueprints, building AI proof-of-concepts, and supporting adoption through alignment with IT and enterprise architecture.

Key Responsibilities

• Lead the evaluation and strategic assessment of emerging AI technologies, platforms, and vendor solutions, advising on technical and ethical feasibility.

• Design and guide the development of AI capabilities and innovation pilots, translating business goals into AI-enabled solutions.

• Define architectural blueprints for integrating AI technologies into IT systems and product platforms, ensuring security, scalability, and alignment with enterprise standards.

• Develop frameworks for responsible AI adoption including model evaluation, explainability, privacy, compliance (e.g., EU AI Act), and ethical use.

• Partner with product and platform teams to align AI innovations with enterprise technology strategy and business outcomes.

• Drive initiatives for AI prototyping, proof-of-concepts (PoCs), and production readiness assessments.

• Monitor vendor roadmaps and contribute to the strategy for selecting and onboarding external AI capabilities.

• Act as a center of excellence for AI within the IT organization, driving awareness, knowledge sharing, and standardization.

• Collaborate with enterprise architects and platform leads to integrate AI tools into data infrastructure, software architecture, and cloud environments.

• Perform technical due diligence on third-party AI services and models, ensuring fit-for-purpose and cost-effective solutions.

• Continuously improve internal innovation processes and methodologies to increase the speed and quality of AI-driven transformation.

Knowledge and Attributes

• Deep knowledge of modern AI paradigms including generative AI (e.g., LLMs), machine learning infrastructure, AI model lifecycle, and MLOps.

• Strong understanding of AI model risks and evaluation techniques, with experience applying responsible AI principles in enterprise environments.

• Excellent ability to assess multi-vendor and open-source AI offerings for enterprise adoption.

• Advanced knowledge of reference AI architectures, integration models, and cloud-based AI toolchains.

• Ability to translate business needs into technical AI strategies, architectures, and implementation roadmaps.

• Excellent communication and stakeholder management skills across technical, executive, and vendor audiences.

• Strategic thinker with the ability to rapidly assess the value and risks of new AI technologies and innovation trends.

Academic Qualifications and Certifications

• Bachelor’s degree or equivalent in Computer Science, Artificial Intelligence, Data Science, or a related field.

• Advanced degrees (MSc/PhD) in AI/ML fields preferred.

• TOGAF, COBIT, or related enterprise architecture certifications are beneficial.

• Certifications in machine learning or cloud-based AI platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI Engineer) are advantageous.

Required Experience

• Extensive experience in leading enterprise AI innovation and architecture initiatives.

• Proven track record of evaluating, piloting, and operationalizing AI solutions in enterprise environments.

• Experience working across multiple industries and large-scale IT organizations.

• Hands-on experience in AI/ML development, integration, and lifecycle management.

• Familiarity with regulations governing AI use, such as the EU AI Act, and experience in operationalizing compliance measures.

Workplace type:

Hybrid Working

About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Third parties fraudulently posing as NTT DATA recruiters

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us .

#J-18808-Ljbffr

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Your day at NTT DATA

The Principal AI Technology & Innovation Specialist is a highly skilled subject matter expert with deep expertise in emerging AI technologies, advanced analytics, and AI system architecture. This role is accountable for the strategic assessment, experimentation, and enablement of cutting-edge AI solutions within the organization, driving innovation and ensuring AI readiness across internal platforms and client-facing services.

The primary objective of this role is to stay at the forefront of AI innovation by evaluating, piloting, and recommending next-generation AI technologies and vendor capabilities. The specialist serves as a strategic advisor and hands-on innovator, influencing architecture, engineering, and product teams to integrate AI capabilities in scalable and responsible ways. This includes defining technical blueprints, building AI proof-of-concepts, and supporting adoption through alignment with IT and enterprise architecture.

Key Responsibilities

• Lead the evaluation and strategic assessment of emerging AI technologies, platforms, and vendor solutions, advising on technical and ethical feasibility.

• Design and guide the development of AI capabilities and innovation pilots, translating business goals into AI-enabled solutions.

• Define architectural blueprints for integrating AI technologies into IT systems and product platforms, ensuring security, scalability, and alignment with enterprise standards.

• Develop frameworks for responsible AI adoption including model evaluation, explainability, privacy, compliance (e.g., EU AI Act), and ethical use.

• Partner with product and platform teams to align AI innovations with enterprise technology strategy and business outcomes.

• Drive initiatives for AI prototyping, proof-of-concepts (PoCs), and production readiness assessments.

• Monitor vendor roadmaps and contribute to the strategy for selecting and onboarding external AI capabilities.

• Act as a center of excellence for AI within the IT organization, driving awareness, knowledge sharing, and standardization.

• Collaborate with enterprise architects and platform leads to integrate AI tools into data infrastructure, software architecture, and cloud environments.

• Perform technical due diligence on third-party AI services and models, ensuring fit-for-purpose and cost-effective solutions.

• Continuously improve internal innovation processes and methodologies to increase the speed and quality of AI-driven transformation.

Knowledge and Attributes

• Deep knowledge of modern AI paradigms including generative AI (e.g., LLMs), machine learning infrastructure, AI model lifecycle, and MLOps.

• Strong understanding of AI model risks and evaluation techniques, with experience applying responsible AI principles in enterprise environments.

• Excellent ability to assess multi-vendor and open-source AI offerings for enterprise adoption.

• Advanced knowledge of reference AI architectures, integration models, and cloud-based AI toolchains.

• Ability to translate business needs into technical AI strategies, architectures, and implementation roadmaps.

• Excellent communication and stakeholder management skills across technical, executive, and vendor audiences.

• Strategic thinker with the ability to rapidly assess the value and risks of new AI technologies and innovation trends.

Academic Qualifications and Certifications

• Bachelor’s degree or equivalent in Computer Science, Artificial Intelligence, Data Science, or a related field.

• Advanced degrees (MSc/PhD) in AI/ML fields preferred.

• TOGAF, COBIT, or related enterprise architecture certifications are beneficial.

• Certifications in machine learning or cloud-based AI platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI Engineer) are advantageous.

Required Experience

• Extensive experience in leading enterprise AI innovation and architecture initiatives.

• Proven track record of evaluating, piloting, and operationalizing AI solutions in enterprise environments.

• Experience working across multiple industries and large-scale IT organizations.

• Hands-on experience in AI/ML development, integration, and lifecycle management.

• Familiarity with regulations governing AI use, such as the EU AI Act, and experience in operationalizing compliance measures.

Workplace type:

Hybrid Working

About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Third parties fraudulently posing as NTT DATA recruiters

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us .

#J-18808-Ljbffr

**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The Principal AI Technology & Innovation Specialist is a highly skilled subject matter expert with deep expertise in emerging AI technologies, advanced analytics, and AI system architecture. This role is accountable for the strategic assessment, experimentation, and enablement of cutting-edge AI solutions within the organization, driving innovation and ensuring AI readiness across internal platforms and client-facing services.
The primary objective of this role is to stay at the forefront of AI innovation by evaluating, piloting, and recommending next-generation AI technologies and vendor capabilities. The specialist serves as a strategic advisor and hands-on innovator, influencing architecture, engineering, and product teams to integrate AI capabilities in scalable and responsible ways. This includes defining technical blueprints, building AI proof-of-concepts, and supporting adoption through alignment with IT and enterprise architecture.
**Key Responsibilities**
+ Lead the evaluation and strategic assessment of emerging AI technologies, platforms, and vendor solutions, advising on technical and ethical feasibility.
+ Design and guide the development of AI capabilities and innovation pilots, translating business goals into AI-enabled solutions.
+ Define architectural blueprints for integrating AI technologies into IT systems and product platforms, ensuring security, scalability, and alignment with enterprise standards.
+ Develop frameworks for responsible AI adoption including model evaluation, explainability, privacy, compliance (e.g., EU AI Act), and ethical use.
+ Partner with product and platform teams to align AI innovations with enterprise technology strategy and business outcomes.
+ Drive initiatives for AI prototyping, proof-of-concepts (PoCs), and production readiness assessments.
+ Monitor vendor roadmaps and contribute to the strategy for selecting and onboarding external AI capabilities.
+ Act as a center of excellence for AI within the IT organization, driving awareness, knowledge sharing, and standardization.
+ Collaborate with enterprise architects and platform leads to integrate AI tools into data infrastructure, software architecture, and cloud environments.
+ Perform technical due diligence on third-party AI services and models, ensuring fit-for-purpose and cost-effective solutions.
+ Continuously improve internal innovation processes and methodologies to increase the speed and quality of AI-driven transformation.
**Knowledge and Attributes**
+ Deep knowledge of modern AI paradigms including generative AI (e.g., LLMs), machine learning infrastructure, AI model lifecycle, and MLOps.
+ Strong understanding of AI model risks and evaluation techniques, with experience applying responsible AI principles in enterprise environments.
+ Excellent ability to assess multi-vendor and open-source AI offerings for enterprise adoption.
+ Advanced knowledge of reference AI architectures, integration models, and cloud-based AI toolchains.
+ Ability to translate business needs into technical AI strategies, architectures, and implementation roadmaps.
+ Excellent communication and stakeholder management skills across technical, executive, and vendor audiences.
+ Strategic thinker with the ability to rapidly assess the value and risks of new AI technologies and innovation trends.
**Academic Qualifications and Certifications**
+ Bachelor's degree or equivalent in Computer Science, Artificial Intelligence, Data Science, or a related field.
+ Advanced degrees (MSc/PhD) in AI/ML fields preferred.
+ TOGAF, COBIT, or related enterprise architecture certifications are beneficial.
+ Certifications in machine learning or cloud-based AI platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI Engineer) are advantageous.
**Required Experience**
+ Extensive experience in leading enterprise AI innovation and architecture initiatives.
+ Proven track record of evaluating, piloting, and operationalizing AI solutions in enterprise environments.
+ Experience working across multiple industries and large-scale IT organizations.
+ Hands-on experience in AI/ML development, integration, and lifecycle management.
+ Familiarity with regulations governing AI use, such as the EU AI Act, and experience in operationalizing compliance measures.
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .

Head: Digital Technology & Innovation MMH -9

Momentum Centurion, Gauteng, South Africa

Role Purpose: To lead Momentum Corporate’s digital technology transformation, innovation, AI Strategy & adoption, and embed digital nativity across the organization. This is a technical and delivery focused role pivotal in shaping the future of the business through strategic technology leadership to help Momentum Corporate achieve the strategic ambition of being a digital business.

Qualifications

• Post graduate qualifications in Business, Information Technology, Computer Science or related field.
• 8-10 years of IT experience in technical roles (Software Engineering, Data Analytics, Digital Transformation)
• At least 5 years experience managing a team
• 3 – 5 years of experience in an insurance or financial industry environment with experience in employee benefits as an added advantage.
• Certifications that demonstrate expertise in Digital Transformation, innovation, technology, and architecture are a plus.
• Certifications in Architecture, AI/Machine Learning or Data Science.
• Sound knowledge of business systems and product management.
• Good understanding of agile, scrum and SAFe deployment.

Responsibilities Strategic Development & Technology Implementation

• Develop and execute a forward-looking digital technology strategy aligned with business objectives.
• Develop and implement digital technology strategies and roadmaps.
• Ensure integration of digital initiatives into strategic planning and execution.
• Lead the design and implementation of new digital technologies, systems, and processes (e.g., cloud computing, AI, ML, automation).
• Oversee delivery of digital systems and change management initiatives.
• Oversee solution prototyping and proof of concept (POC) development to validate innovative ideas and technologies.

AI Strategy & Adoption

• Develop a comprehensive AI strategy and roadmap.
• Identify high-impact AI use cases to enhance productivity, automate tasks, or improve customer service.
• Oversee the deployment and integration of AI models into existing products and systems.
• Promote AI adoption across the organization and cultivate an innovative culture.
• Monitor and evaluate the performance of deployed AI models and ensure they deliver measurable results.
• Stay informed about AI advancements and market trends.
• Sound knowledge and experience of AI and GenAI concepts including but not limited to LLM, prompt engineering, etc.
• Embedding AI models into software products, fine-tuning them for domain-specific use cases, and implementing efficient inference strategies.

Process Optimization & Change Management

• Develop and implement solutions to digitize services, optimize operations, and improve efficiency.
• Re-evaluate and redesign existing business processes to improve efficiency, productivity, and customer experience through digitalization.
• Lead change management in partnership with Human Capital and other stakeholders.
• Champion digital adoption across business units.

Data Strategy & Analytics

• Drive data strategy and analytics to inform decision-making and improve digital maturity.
• Use data to monitor the performance of digital initiatives, assess their impact, and make informed decisions for improvements.
• Define and monitor KPIs to measure transformation success and ROI.
• Develop metrics and key performance indicators (KPIs) to measure the success and effectiveness of digital initiatives.

Governance, Risk & Compliance

• Implement digital governance frameworks including data security and regulatory compliance.
• Establish AI governance frameworks to ensure safe, ethical, and responsible AI use.
• Define ethical principles for AI, addressing concerns like bias and safety.
• Implement operational controls and accountability for the AI lifecycle.
• Identify and mitigate potential risks associated with digital projects.
• Ensure that digital projects comply with data protection regulations and cybersecurity best practices.

People, Culture & Innovation

• Foster a culture of innovation through emerging technologies and digital ecosystems.
• Foster an organizational culture of innovation to encourage exploration and development of new ideas, products, services, and business models.
• Identify and develop AI talent within the organization.
• Drive communication and training efforts to build AI skills and knowledge.
• Ensure leadership buy-in and foster collaboration between business and IT teams.
• Partner with product, operations, finance, and IT teams to align transformation efforts.
• Coordinate rollout of AI tools, analytics dashboards, and digital engagement platforms.

Knowledge

• Awareness of current and emerging technologies (e.g., cloud computing, artificial intelligence, IoT) and their potential impact on the organization.
• Understanding of digital transformation initiatives and how to integrate new technologies into existing business processes.
• Understanding of cybersecurity principles, practices, and regulations to protect organizational data and systems.
• Knowledge and experience of software engineering.
• Extensive knowledge of project management methodologies, including Agile and Waterfall.
• Strong grasp of IT governance, risk management and compliance.
• Proficiency in project management principles and tools to oversee IT initiatives from conception to completion.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Marketing and Sales

Note: This description focuses on the responsibilities and qualifications for the role and excludes non-essential or site-only notices.

#J-18808-Ljbffr

Head: Digital Technology & Innovation MMH -9 Momentum Centurion, Gauteng, South Africa Role Purpose: To lead Momentum Corporate’s digital technology transformation, innovation, AI Strategy & adoption, and embed digital nativity across the organization. This is a technical and delivery focused role pivotal in shaping the future of the business through strategic technology leadership to help Momentum Corporate achieve the strategic ambition of being a digital business. Qualifications Post graduate qualifications in Business, Information Technology, Computer Science or related field. 8-10 years of IT experience in technical roles (Software Engineering, Data Analytics, Digital Transformation) At least 5 years experience managing a team 3 – 5 years of experience in an insurance or financial industry environment with experience in employee benefits as an added advantage. Certifications that demonstrate expertise in Digital Transformation, innovation, technology, and architecture are a plus. Certifications in Architecture, AI/Machine Learning or Data Science. Sound knowledge of business systems and product management. Good understanding of agile, scrum and SAFe deployment. Responsibilities Strategic Development & Technology Implementation Develop and execute a forward-looking digital technology strategy aligned with business objectives. Develop and implement digital technology strategies and roadmaps. Ensure integration of digital initiatives into strategic planning and execution. Lead the design and implementation of new digital technologies, systems, and processes (e.g., cloud computing, AI, ML, automation). Oversee delivery of digital systems and change management initiatives. Oversee solution prototyping and proof of concept (POC) development to validate innovative ideas and technologies. AI Strategy & Adoption Develop a comprehensive AI strategy and roadmap. Identify high-impact AI use cases to enhance productivity, automate tasks, or improve customer service. Oversee the deployment and integration of AI models into existing products and systems. Promote AI adoption across the organization and cultivate an innovative culture. Monitor and evaluate the performance of deployed AI models and ensure they deliver measurable results. Stay informed about AI advancements and market trends. Sound knowledge and experience of AI and Gen AI concepts including but not limited to LLM, prompt engineering, etc. Embedding AI models into software products, fine-tuning them for domain-specific use cases, and implementing efficient inference strategies. Process Optimization & Change Management Develop and implement solutions to digitize services, optimize operations, and improve efficiency. Re-evaluate and redesign existing business processes to improve efficiency, productivity, and customer experience through digitalization. Lead change management in partnership with Human Capital and other stakeholders. Champion digital adoption across business units. Data Strategy & Analytics Drive data strategy and analytics to inform decision-making and improve digital maturity. Use data to monitor the performance of digital initiatives, assess their impact, and make informed decisions for improvements. Define and monitor KPIs to measure transformation success and ROI. Develop metrics and key performance indicators (KPIs) to measure the success and effectiveness of digital initiatives. Governance, Risk & Compliance Implement digital governance frameworks including data security and regulatory compliance. Establish AI governance frameworks to ensure safe, ethical, and responsible AI use. Define ethical principles for AI, addressing concerns like bias and safety. Implement operational controls and accountability for the AI lifecycle. Identify and mitigate potential risks associated with digital projects. Ensure that digital projects comply with data protection regulations and cybersecurity best practices. People, Culture & Innovation Foster a culture of innovation through emerging technologies and digital ecosystems. Foster an organizational culture of innovation to encourage exploration and development of new ideas, products, services, and business models. Identify and develop AI talent within the organization. Drive communication and training efforts to build AI skills and knowledge. Ensure leadership buy-in and foster collaboration between business and IT teams. Partner with product, operations, finance, and IT teams to align transformation efforts. Coordinate rollout of AI tools, analytics dashboards, and digital engagement platforms. Knowledge Awareness of current and emerging technologies (e.g., cloud computing, artificial intelligence, Io T) and their potential impact on the organization. Understanding of digital transformation initiatives and how to integrate new technologies into existing business processes. Understanding of cybersecurity principles, practices, and regulations to protect organizational data and systems. Knowledge and experience of software engineering. Extensive knowledge of project management methodologies, including Agile and Waterfall. Strong grasp of IT governance, risk management and compliance. Proficiency in project management principles and tools to oversee IT initiatives from conception to completion. Seniority level: Mid-Senior level Employment type: Full-time Job function: Marketing and Sales Note: This description focuses on the responsibilities and qualifications for the role and excludes non-essential or site-only notices. #J-18808-Ljbffr

Head: Digital Technology & Innovation MMH -9 Momentum Centurion, Gauteng, South Africa Role Purpose: To lead Momentum Corporate’s digital technology transformation, innovation, AI Strategy & adoption, and embed digital nativity across the organization. This is a technical and delivery focused role pivotal in shaping the future of the business through strategic technology leadership to help Momentum Corporate achieve the strategic ambition of being a digital business. Qualifications Post graduate qualifications in Business, Information Technology, Computer Science or related field. 8-10 years of IT experience in technical roles (Software Engineering, Data Analytics, Digital Transformation) At least 5 years experience managing a team 3 – 5 years of experience in an insurance or financial industry environment with experience in employee benefits as an added advantage. Certifications that demonstrate expertise in Digital Transformation, innovation, technology, and architecture are a plus. Certifications in Architecture, AI/Machine Learning or Data Science. Sound knowledge of business systems and product management. Good understanding of agile, scrum and SAFe deployment. Responsibilities Strategic Development & Technology Implementation Develop and execute a forward-looking digital technology strategy aligned with business objectives. Develop and implement digital technology strategies and roadmaps. Ensure integration of digital initiatives into strategic planning and execution. Lead the design and implementation of new digital technologies, systems, and processes (e.g., cloud computing, AI, ML, automation). Oversee delivery of digital systems and change management initiatives. Oversee solution prototyping and proof of concept (POC) development to validate innovative ideas and technologies. AI Strategy & Adoption Develop a comprehensive AI strategy and roadmap. Identify high-impact AI use cases to enhance productivity, automate tasks, or improve customer service. Oversee the deployment and integration of AI models into existing products and systems. Promote AI adoption across the organization and cultivate an innovative culture. Monitor and evaluate the performance of deployed AI models and ensure they deliver measurable results. Stay informed about AI advancements and market trends. Sound knowledge and experience of AI and Gen AI concepts including but not limited to LLM, prompt engineering, etc. Embedding AI models into software products, fine-tuning them for domain-specific use cases, and implementing efficient inference strategies. Process Optimization & Change Management Develop and implement solutions to digitize services, optimize operations, and improve efficiency. Re-evaluate and redesign existing business processes to improve efficiency, productivity, and customer experience through digitalization. Lead change management in partnership with Human Capital and other stakeholders. Champion digital adoption across business units. Data Strategy & Analytics Drive data strategy and analytics to inform decision-making and improve digital maturity. Use data to monitor the performance of digital initiatives, assess their impact, and make informed decisions for improvements. Define and monitor KPIs to measure transformation success and ROI. Develop metrics and key performance indicators (KPIs) to measure the success and effectiveness of digital initiatives. Governance, Risk & Compliance Implement digital governance frameworks including data security and regulatory compliance. Establish AI governance frameworks to ensure safe, ethical, and responsible AI use. Define ethical principles for AI, addressing concerns like bias and safety. Implement operational controls and accountability for the AI lifecycle. Identify and mitigate potential risks associated with digital projects. Ensure that digital projects comply with data protection regulations and cybersecurity best practices. People, Culture & Innovation Foster a culture of innovation through emerging technologies and digital ecosystems. Foster an organizational culture of innovation to encourage exploration and development of new ideas, products, services, and business models. Identify and develop AI talent within the organization. Drive communication and training efforts to build AI skills and knowledge. Ensure leadership buy-in and foster collaboration between business and IT teams. Partner with product, operations, finance, and IT teams to align transformation efforts. Coordinate rollout of AI tools, analytics dashboards, and digital engagement platforms. Knowledge Awareness of current and emerging technologies (e.g., cloud computing, artificial intelligence, Io T) and their potential impact on the organization. Understanding of digital transformation initiatives and how to integrate new technologies into existing business processes. Understanding of cybersecurity principles, practices, and regulations to protect organizational data and systems. Knowledge and experience of software engineering. Extensive knowledge of project management methodologies, including Agile and Waterfall. Strong grasp of IT governance, risk management and compliance. Proficiency in project management principles and tools to oversee IT initiatives from conception to completion. Seniority level: Mid-Senior level Employment type: Full-time Job function: Marketing and Sales Note: This description focuses on the responsibilities and qualifications for the role and excludes non-essential or site-only notices. #J-18808-Ljbffr

The IORA, represented by South Africa, one of the IORA Member States, is organizing a workshop on Advancing Cooperation in Marine Science and Technology Innovation for Ocean Sustainability and Biodiversity Conservation in the Indian Ocean Region . The meeting will focus on “Fostering solidarity, equality, and sustainable development ” and will be held from 29-30 May 2025 at the University of Mpumalanga, Mbombela, Mpumalanga, South Africa.

While several IORA Member States are advanced in sustainable ocean management systems, others are not. Therefore, a one-day workshop will be convened for Member States, Dialogue Partners, and other organizations to establish an IORA marine science RDI research agenda with the following objectives:

• Share Knowledge and Research: Facilitate the exchange of knowledge, scientific findings, case studies, and best practices in marine science and ocean governance research and innovation activities.
• Create Awareness: Enhance understanding of ocean-related challenges faced by nations and address them through sustainable management strategies and policy guidelines.
• Foster Collaboration: Encourage networking and collaboration among participants to develop effective strategies and guidelines for building coastal resilience.

The envisaged outcomes of the workshop include:

• A detailed report with discussions, recommendations, and actionable steps.
• A draft cooperation framework addressing regional marine science and ocean governance challenges, promoting innovative solutions for sustainable ocean management in the Indian Ocean region.
• A list of activities to be incorporated into the revised work plan.

The workshop aims to involve:

• Policymakers and government officials
• Marine technology developers
• Environmental scientists and researchers
• NGOs and community leaders
• Industry representatives

Funding for the workshop will be provided by South Africa, with an application to the Special Fund to cover up to fifty percent of the required funds.

The workshop will be hosted by South Africa in conjunction with the 4th Working Group for Science, Technology, and Innovation meeting.

The 4th Working Group for Science, Technology, and Innovation was established in 2020 to promote a common sustainable development agenda through knowledge sharing, capacity building, and fostering academic, scientific, and technological cooperation among Member States. It aims to create a platform for policymakers from IORA Member States responsible for science, technology, and innovation to implement activities aligned with the WGSTI Work Plan, facilitating cooperation and contributing to the success of the IORA Action Plan.

Member States, Dialogue Partners, the RCSTT, and the NAM S&T Centre will be invited to participate in both the workshop and the 4th WGSTI meeting, which will take place on the following day.

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Overview

The AI Innovation Engineer is responsible for defining and delivering AI technology solutions that meet enterprise capability requirements. This role focuses on evaluating, designing, and implementing AI solutions from established vendors, ensuring integration with existing enterprise architecture while providing expert guidance on AI technology adoption and innovation strategies.

Responsibilities

• Defines AI solutions and technology implementations to deliver specific capability maturity levels for enterprise AI adoption.
• Ensures that AI solutions are agile, scalable, and can be integrated into the overall enterprise architecture and technology landscape.
• Provides expert multi-vendor AI technology advice to internal clients, analyzing and providing strategies and solutions on AI platforms, tools, and integration components.
• Designs and communicates high-level AI solution architectures to enable and guide the implementation of integrated AI capabilities that meet current and future business needs.
• Uses client business requirements to advise on the design, deployment, and operation of AI technology infrastructures and vendor solutions.
• Creates AI solution designs that provide holistic views while containing detailed specifications of AI components and interconnections between systems.
• Involved with AI projects at inception, working alongside project managers in planning and governance of AI initiatives and functional analysis of developing initial AI requirements.
• Works with enterprise architects to define how proposed AI solution components fit into enterprise data architecture, defining clear AI technology roadmaps that improve existing solutions through new AI technologies and methodologies.
• Supports and manages proof of concept (POC) and prototype initiatives to validate new AI solutions, vendor tools, and implementation methods.
• Contributes to improvement of internal effectiveness by enhancing current AI evaluation methodologies, testing processes, and vendor assessment tools.
• Supports internal teams and vendors with installation and configuration of AI applications and platforms.
• Conducts comprehensive vendor AI technology assessments, benchmarking, and capability evaluations.
• Develops and maintains AI testing frameworks and automated evaluation pipelines for continuous vendor solution assessment.
• Establishes AI governance frameworks and best practices for enterprise AI adoption and risk management.
• Performs any other related tasks as required.

Qualifications

• Bachelor's degree or equivalent in Computer Science, Information Technology, Engineering, or related technical field.
• TOGAF / COBIT or related enterprise architecture certification preferred.
• Cloud platform certifications (Azure Solutions Architect, AWS Solutions Architect, or Google Cloud Architect) beneficial.
• AI/ML certifications from major vendors (Microsoft AI Engineer, AWS Machine Learning, Google ML Engineer) preferred.

Experience

• Seasoned experience gained in multiple industries and across several AI technology disciplines and vendor platforms.
• Seasoned experience with AI solution development processes, vendor evaluation methodologies, and AI project implementation life cycles.
• Seasoned experience working as a solution architect or senior engineer in enterprise technology environments, with specific focus on AI/ML or similar technologies.
• Proven experience in vendor management, technology assessment, and enterprise AI solution delivery.
• Demonstrated experience in leading complex AI technology evaluations and implementation projects.
• Experience with enterprise AI governance, risk management, and compliance frameworks.
• Track record of successful AI vendor partnership development and management.
• Experience in mentoring junior engineers and contributing to technical team development.

Workplace type

Hybrid Working

About NTT DATA

NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

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