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Responsibilities

• Facilitate all Scrum ceremonies: Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives.
• Guide and coach the team on Agile/Scrum practices and values.
• Remove impediments and foster a culture of continuous improvement.
• Track and report team metrics (velocity, burndown charts, etc.) to stakeholders.
• Collaborate with Product Owners to ensure a well-groomed and prioritized backlog.
• Support cross-functional coordination and dependency management.
• Champion agile adoption across the organization and mentor junior Scrum Masters.
• Ensure alignment with enterprise delivery frameworks and governance.

Qualifications
Education & Certifications

• Bachelor’s degree in Computer Science, Information Systems, Business, or related field.
• Scrum Master certification (CSM, PSM I/II) preferred.
• Agile certifications such as SAFe Agilist or PMI-ACP are advantageous.

Experience & Skills

• 3+ years of experience as a Scrum Master in a technology or fintech environment.
• Strong understanding of Agile frameworks (Scrum, Kanban, SAFe).
• Experience working with APIs, microservices, and digital channels is a plus.
• Proficiency in Agile tools (e.g., Jira, Azure DevOps, Confluence).
• Excellent facilitation, coaching, and conflict-resolution skills.
• Strong stakeholder engagement and communication abilities.

Personal Attributes

• Proactive and solution-oriented mindset.
• Empathetic leadership and team-building skills.
• High emotional intelligence and adaptability.
• Strong organizational and time management skills.

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Responsibilities

• Facilitate all Scrum ceremonies: Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives.
• Guide and coach the team on Agile/Scrum practices and values.
• Remove impediments and foster a culture of continuous improvement.
• Track and report team metrics (velocity, burndown charts, etc.) to stakeholders.
• Collaborate with Product Owners to ensure a well-groomed and prioritized backlog.
• Support cross-functional coordination and dependency management.
• Champion agile adoption across the organization and mentor junior Scrum Masters.
• Ensure alignment with enterprise delivery frameworks and governance.

Qualifications
Education & Certifications

• Bachelor’s degree in Computer Science, Information Systems, Business, or related field.
• Agile certifications (Scrum Master, SAFe Agilist, PMI-ACP) are advantageous.
• Scrum Master certification (CSM, PSM I/II) preferred.

Experience & Skills

• 3+ years of experience as a Scrum Master in a technology or fintech environment.
• Strong understanding of Agile frameworks (Scrum, Kanban, SAFe).
• Experience working with APIs, microservices, and digital channels is a plus.
• Proficiency in Agile tools (e.g., Jira, Azure DevOps, Confluence).
• Excellent facilitation, coaching, and conflict-resolution skills.
• Strong stakeholder engagement and communication abilities.

Personal Attributes

• Proactive and solution-oriented mindset.
• Empathetic leadership and team-building skills.
• High emotional intelligence and adaptability.
• Strong organizational and time management skills.

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Responsibilities

• Lead and manage multiple interrelated projects under a unified program strategy.
• Define program scope, goals, and deliverables in collaboration with stakeholders.
• Develop and maintain integrated program plans, timelines, and budgets.
• Monitor and report on program progress, risks, and issues to senior leadership.
• Coordinate across project managers, product owners, and technical teams.
• Ensure compliance with governance frameworks and delivery standards.
• Facilitate decision-making and remove roadblocks to ensure successful outcomes.
• Drive continuous improvement and agile adoption across delivery teams.
• Manage vendor relationships and third-party dependencies where applicable.

Qualifications
Education & Certifications

• Bachelor’s degree in Computer Science, Business, Engineering, or related field.
• PMP, PgMP, SAFe, or equivalent program management certification preferred.

Experience & Skills

• 7+ years of experience in program or project management in a technology or fintech environment.
• Proven track record of delivering large-scale, multi-stream programs.
• Strong understanding of Agile, Scrum, and Waterfall methodologies.
• Experience with APIs, microservices, and digital channels is highly desirable.
• Proficiency in program management tools (e.g., MS Project, Jira, Azure DevOps).
• Excellent leadership, communication, and stakeholder management skills.
• Strong analytical and problem-solving capabilities.

Personal Attributes

• Strategic thinker with a results-driven mindset.
• Strong interpersonal and negotiation skills.
• High emotional intelligence and adaptability.
• Ability to thrive in a fast-paced, dynamic environment

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Responsibilities:

• Lead and scale a high-performing team of data scientists and ML engineers.
• Define and execute the data science roadmap aligned to business priorities and monetisation opportunities.
• Oversee the end-to-end model lifecycle—from ideation, exploration, development, validation, to monitoring.
• Partner with Product, Risk, and Engineering teams to integrate models into digital and operational channels.
• Establish standards for model governance, explainability, and ethical AI practices.
• Drive innovation by exploring emerging techniques in generative AI, reinforcement learning, and real-time scoring.

Qualifications:

Education:

• Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Master’s or PhD in Machine Learning, Applied Mathematics, Econometrics, or AI (strongly preferred).

Experience:

• 8–12 years of experience in data science, machine learning, or advanced analytics roles.
• Minimum of 3 years in a leadership or managerial capacity.
• Proven track record of delivering AI/ML models in production environments—preferably in Fintech, Banking, or Telecoms.
• Experience translating complex data science solutions into measurable business outcomes (e.g., credit scoring, fraud detection, churn prediction).
• Exposure to cloud-based ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI.

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Responsibilities:

• Lead the enterprise-wide data governance strategy, including policies, roles, stewardship, and standards.
• Define and enforce data quality metrics, KPIs, and remediation processes.
• Oversee metadata management, data lineage, and cataloguing tools.
• Partner with legal, risk, and compliance teams to meet regulatory data obligations.
• Chair or support data governance councils and stakeholder working groups.
• Embed governance practices into platforms, data products, and operational processes.
• Promote a data ownership and stewardship culture across business domains.

Qualifications:

Education:

• Bachelor’s Degree in Information Management, Computer Science, Data Analytics, Business Administration, or related field.
• Master’s Degree in Data Governance, Data Management, or MBA (preferred).

Experience:

• 8–12 years of experience in data governance, data management, or information quality roles.
• Proven track record of implementing data governance frameworks in complex, regulated environments (e.g., financial services, fintech, telecoms).
• Strong stakeholder engagement skills across business, risk, legal, compliance, and technical teams.
• Familiarity with data regulations (e.g., POPIA, GDPR, BCBS 239) and enterprise data management principles (DAMA-DMBOK, DCAM).

Preferred Certifications:

• Certified Data Management Professional (CDMP) – DAMA.
• DCAM (Data Management Capability Assessment Model).

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Responsibilities:

• Lead engineering execution across mobile and backend platforms during migration.
• Define and enforce architecture standards, design principles, and best practices.
• Oversee CI/CD pipelines, code quality, and performance optimization.
• Collaborate with cloud architects, DevOps, security, QA, and analytics teams.
• Mentor engineers, manage escalations, and own delivery across phases.
• Drive cross-functional alignment to ensure platform velocity and reliability.
• Lead technical due diligence and shape execution governance.
• Manage engineering productivity, backlogs, and technical debt prioritization.
• Contribute to onboarding, skill assessments, and capability development frameworks.

Qualifications:

Education:

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• Master’s degree or executive tech leadership programs (optional but advantageous).

Experience:

• 4+ years of software engineering experience, including backend and mobile systems.
• 3+ years leading engineering teams or squads in high-growth, high-availability environments.
• Proven track record in large-scale cloud migration and modernization efforts.
• Experience managing distributed teams and delivering under high-velocity conditions.
• Involvement in DR setup, platform stabilization, or infrastructure takeover is a plus.
• Proven leadership in building and scaling cross-platform mobile applications using React Native.
• Strong backend development experience in Java (Spring Boot), including RESTful API design, third-party service integration, and secure authentication flows.
• Hands-on experience with cloud-native systems on Azure (AKS, App Services, PostgreSQL/MySQL, Redis, Front Door, Application Gateway).
• Skilled in containerization (Docker, Kubernetes), API gateway implementation, and service modularization.
• Experience designing and implementing CI/CD pipelines and infrastructure-as-code workflows.
• Familiarity with observability and incident response tooling (Azure Monitor, App Insights, Sentry, Datadog).
• Proven ability to align technical delivery with business objectives and user experience goals.
• Deep understanding of Agile/Scrum practices, sprint planning, estimation, and iterative delivery.
• Mentored junior and mid-level engineers, contributed to hiring, and developed onboarding plans.
• Exposure to analytics, feature flag systems, crash monitoring, and telemetry for continuous improvement.

Technical Skills:

• Backend: Java, .NET, Node.js
• Frontend: Angular, React.js
• Mobile: React Native, Kotlin/Java, Swift
• Integration: REST/GraphQL APIs, Webhooks, Kafka, MQs
• Security: OAuth2, JWT, RBAC, OWASP
• CI/CD & DevOps: Git, Kubernetes, Docker, Jenkins, Terraform, Azure/AWS
• Observability: Prometheus, Grafana, ELK, Datadog, Firebase Crashlytics
• Database: Redis, PostgreSQL

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Responsibilities:

Test Automation & Engineering

• Lead the design, development, and maintenance of test automation frameworks for functional, integration, regression, and performance testing.
• Integrate automated tests into CI/CD pipelines using tools such as Azure DevOps, Jenkins, or GitHub Actions.
• Enforce shift-left QA practices and quality gate definitions across cross-functional teams.
• Utilize automation and observability tools like Selenium, Appium, JMeter, Postman, Sentry, Firebase Crashlytics, and App Center.

Application & API Testing

• Oversee testing of mobile applications and APIs, including managing test data, mocking/stubbing services, and ensuring environment consistency.
• Ensure robust end-to-end test coverage and production parity for QA environments.

QA Strategy & Leadership

• Define QA strategy, quality KPIs, and SLA/SLO-based defect handling policies aligned with business objectives.
• Lead testing strategy for infrastructure transitions, platform migrations, and Disaster Recovery validations.
• Mentor and manage QA teams to cultivate a culture of preventive QA and continuous improvement.

Cloud & Infrastructure QA

• Oversee QA across cloud-based and hybrid infrastructure environments, including on-prem to Azure migrations.
• Validate DR readiness, platform cutovers, and performance scaling scenarios.

Cross-Functional Collaboration

• Partner with engineering, product, and DevOps teams to integrate automated testing into CI/CD pipelines.
• Serve as a key stakeholder in Go/No-Go decisions during critical migration phases.
• Ensure traceability between requirements, test cases, and production defects.

Qualifications:

Education & Certifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (mandatory).
• Advanced degrees or management certifications (e.g., PMP, Agile Leadership) – advantageous.
• Professional Certifications (preferred/required): ISTQB Advanced Level (required), Agile Testing Certification (e.g., ICP-TST) advantageous.

Experience

• 8+ years’ experience in Quality Assurance, including 3+ years in a QA leadership role.
• Proven experience managing distributed teams and complex system landscapes.
• Strong track record in test automation, cloud/hybrid QA, and platform migration readiness.

Technical Skills

• Testing & Automation Frameworks: Selenium, JMeter, Postman, Cypress, Appium.
• CI/CD & Test Integration: Azure DevOps, Jenkins, SonarQube, Allure, GitHub Actions.
• Mobile & API Testing: Firebase Test Lab, App Center, Swagger/Postman.
• Test Data & Environment Management: Wire Mock or equivalent middleware for mocking endpoints.

Core Skills & Competencies

• Strong leadership and mentoring capabilities within QA teams.
• Deep understanding of shift-left testing, automation best practices, and quality governance.
• Ability to collaborate cross-functionally with engineering, product, and DevOps teams.
• Analytical mindset with focus on metrics, defect tracking, and continuous improvement.
• Results-driven and proactive in ensuring platform reliability and quality excellence.

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Responsibilities:

• Lead software engineering delivery across frontend and backend (Java) systems.
• Drive the technical execution of the DR-first migration and ensure readiness for full cutover to Azure.
• Define and enforce software engineering best practices, coding standards, and architectural principles.
• Oversee the design and refactoring of services for scalability, modularity, and performance.
• Manage engineering capacity, prioritize technical debt, and ensure sprint throughput aligns with business goals.
• Collaborate with DevOps, QA, Security, and Product teams to ensure end-to-end solution integrity.
• Mentor engineering leads and cultivate a high-performance development culture.
• Act as a key stakeholder in architecture decisions and delivery governance.
• Champion engineering excellence, promote a culture of innovation, and ensure rapid iteration cycles post-migration.
• Play a leadership role in upskilling and onboarding for the transformed platform.

Qualifications:

Education:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• Master’s degree is a plus.

Experience:

• 8+ years in software engineering, with 3+ years in a senior leadership or engineering management role.
• Demonstrated success in managing distributed teams and complex system landscapes.
• Experience leading platform modernization efforts, cloud migrations, and cross-functional DevOps transformations.

Technical Skills:

• Backend: Java, .NET, Node.js.
• Integration: REST/GraphQL APIs, Webhooks, Kafka, MQs.
• Wallet/Payments: ISO 8583, ISO 20022, PCI DSS, OAuth2, Open Banking.
• Channels: USSD, Mobile App, POS, Web.
• CI/CD & Infrastructure: Kubernetes, Docker, Jenkins, Terraform, Azure/AWS.
• Observability: Prometheus, Grafana, ELK, Datadog.

Preferred Certifications:

• Azure Solutions Architect Expert or Azure Developer Associate.
• Certifications in Agile (e.g., SAFe, ICP-ACC) or Software Architecture (e.g., TOGAF).

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Responsibilities:

• Define and execute the enterprise engineering strategy in line with overall business and technology roadmaps.
• Partner with architecture, product, and infrastructure leaders to deliver enterprise-wide platforms and shared services.
• Drive modernization initiatives including cloud migration, API-first development, DevOps, AI/automation, and containerization.
• Oversee the design, build, and integration of enterprise platforms (APIs, middleware, identity management, shared services).
• Ensure resilience, scalability, and security across enterprise technology stacks.
• Govern and standardize engineering practices across teams and business domains.
• Manage enterprise engineering project portfolio, ensuring delivery within scope, budget, and timelines.
• Implement engineering governance frameworks aligned with regulatory, security, and compliance requirements.
• Oversee risk management, disaster recovery, observability, and operational resilience.
• Ensure platforms and services comply with enterprise security and data privacy policies.
• Lead, coach, and mentor senior managers, architects, and technical leaders.
• Build a culture of engineering excellence, innovation, and accountability.
• Drive talent development, succession planning, and diversity initiatives within enterprise engineering.
• Manage enterprise engineering budgets, forecasts, and cost optimization.
• Oversee strategic vendor relationships and third-party technology partnerships.
• Ensure value realization and ROI from enterprise engineering investments.

Qualifications:

Education:

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field (mandatory).
• Postgraduate degree such as a Master’s in Engineering, Information Technology, or MBA (preferred).

Experience:

• 10–15 years in technology and software engineering, with at least 5–7 years in senior leadership roles managing large, multi-disciplinary engineering teams.
• Proven experience in enterprise-scale engineering including platform engineering, systems integration, middleware, and cloud-native architecture.
• Track record of leading enterprise modernization initiatives such as cloud transformation, API-first development, DevOps adoption, and automation at scale.
• Demonstrated success in governing engineering practices across multiple business units, ensuring compliance, security, and enterprise standards.
• Hands-on involvement in designing and delivering resilient, secure, and scalable platforms that support multiple business domains.
• Experience managing engineering budgets, vendor relationships, and enterprise technology portfolios.
• Strong background in regulatory compliance, risk management, and IT governance within complex, regulated industries (e.g., banking, fintech, telecom).
• Proven ability to build and mentor senior managers and technical leaders, fostering high-performing engineering cultures.

Required Certifications:

• AWS Certified Solutions Architect – Professional.
• Microsoft Azure Solutions Architect Expert.
• Google Cloud Professional Cloud Architect.
• TOGAF (The Open Group Architecture Framework).
• ITIL v4 (Managing Professional or Strategic Leader level).

Preferred Certifications:

• Zachman Framework (enterprise architecture).
• CISSP or CISM (security & compliance).
• Certified Kubernetes Administrator (CKA) or equivalent (DevOps & automation).
• MuleSoft Certified Integration Architect, Apache Kafka Certifications, or equivalent (data & integration).
• Executive education programs or Digital Transformation certifications.