Job Vacancies at Yas Tanzania June 2026, The organization is committed to equal employment opportunities and fair treatment of all individuals in all employment practices.
The IT Enterprise Architect will be responsible for developing and driving the organization’s enterprise architecture and integration strategy to ensure that technology solutions align with business objectives.
The role will provide architectural leadership across the technology landscape, promoting scalable, secure, reusable, and efficient solutions that support business growth and digital transformation initiatives.
1: Predictive Model ML/AI Specialist
Job Purpose
The Predictive Model ML/AI Specialist will be responsible for leading the design, development, deployment, and governance of machine learning and artificial intelligence solutions that support commercial objectives. The role focuses on transforming complex data into actionable insights through predictive analytics, enabling data-driven decision-making, enhancing customer experiences, and driving revenue growth.
Key Duties and Responsibilities
Partner with the Commercial Director and senior stakeholders to define, prioritize, and execute the AI/ML roadmap aligned with business and commercial objectives.
Develop and implement predictive models that support churn prevention, customer retention, revenue growth, customer segmentation, propensity modelling, and campaign optimization initiatives.
Lead the end-to-end lifecycle of machine learning models, from problem definition and data preparation to deployment, monitoring, and continuous improvement.
Establish and maintain model governance frameworks covering model validation, bias assessment, explainability standards, version control, and production readiness requirements.
Ensure predictive models meet established performance standards and business objectives before deployment into production environments.
Integrate AI and machine learning outputs into commercial systems, including customer relationship management platforms, campaign management systems, business intelligence dashboards, and customer-facing applications.
Enable real-time, insight-driven decision-making by embedding predictive analytics into operational workflows.
Collaborate with cross-functional teams including commercial, technology, data engineering, and analytics teams to ensure successful delivery of AI initiatives.
Monitor deployed models to assess performance, accuracy, and stability, implementing retraining and optimization strategies where necessary.
Ensure all AI and machine learning solutions comply with applicable data privacy and regulatory requirements, including PDPA Tanzania, TCRA directives, and relevant international standards.
Promote best practices in machine learning development, including documentation, testing, reproducibility, and continuous integration and deployment methodologies.
Provide technical leadership and mentorship to team members, supporting capability development and fostering a culture of innovation and continuous learning.
Evaluate emerging technologies, methodologies, and industry trends to identify opportunities for enhancing the organization’s AI capabilities.
Prepare reports, presentations, and recommendations for senior management regarding model performance, business impact, and future opportunities.
Support strategic initiatives aimed at maximizing customer value, improving operational efficiency, and enhancing competitive advantage through advanced analytics.
Perform any other duties as assigned by management in line with the objectives of the role.
Required Skills and Competencies
Strong understanding of machine learning algorithms, predictive modelling techniques, and artificial intelligence concepts.
Ability to translate business challenges into practical AI and analytics solutions.
Strong commercial acumen with the ability to align technical solutions with business objectives.
Knowledge of model governance principles, including explainability, bias detection, validation, and monitoring.
Experience with DevOps practices, CI/CD pipelines, and modern product delivery methodologies.
Excellent analytical, critical thinking, and problem-solving skills.
Strong communication and presentation skills with the ability to engage technical and non-technical stakeholders.
Ability to manage multiple priorities and deliver results in a dynamic environment.
Leadership capabilities with experience guiding teams and managing end-to-end project delivery.
High level of integrity, accountability, and commitment to quality.
Qualifications and Experience
Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, Statistics, or a related quantitative field.
Minimum of 5 years of experience in Machine Learning or Artificial Intelligence roles.
At least 2 years of experience in a leadership or team lead position overseeing end-to-end model development and deployment.
Hands-on experience developing and implementing predictive models in commercial environments.
Experience within the telecommunications industry will be highly advantageous.
Familiarity with telecom datasets and analytics, including Call Detail Records (CDR), subscriber lifecycle analysis, churn modelling, and Customer Value Management (CVM), is strongly preferred.
2: Project Manager Data TransformationÂ
Job Purpose
The Project Manager – Data Transformation will be responsible for leading and coordinating digital transformation initiatives across the organization. The role focuses on ensuring that projects are delivered on time, within scope, and within budget while promoting agile methodologies and driving innovation. The successful candidate will work closely with various stakeholders to manage project portfolios, optimize resources, and support the organization’s data-driven transformation agenda.
Key Duties and Responsibilities
Establish and maintain Project Management Office (PMO) standards, frameworks, reporting structures, and governance processes.
Manage and monitor digital project portfolios, ensuring projects are aligned with business objectives and strategic priorities.
Develop detailed project plans using Microsoft Project Professional and monitor project performance through Enterprise Project Management (EPM) tools.
Ensure projects are delivered within approved timelines, budgets, and scope requirements.
Identify, assess, and manage project risks, dependencies, and issues, implementing mitigation plans where necessary.
Drive the adoption and implementation of agile methodologies across digital teams, including Scrum, Kanban, and SAFe practices.
Facilitate agile ceremonies such as sprint planning sessions, daily stand-ups, sprint reviews, and retrospectives when required.
Coordinate cross-functional teams to ensure effective collaboration and successful project execution.
Organize and lead project meetings, conference calls, workshops, and stakeholder engagement sessions.
Prepare and present project status reports, performance updates, and recommendations to management and project committees.
Monitor project Key Performance Indicators (KPIs) and provide insights to improve project outcomes.
Ensure effective communication between project teams, business stakeholders, vendors, and external partners.
Support the implementation of digital transformation initiatives across multiple business units.
Promote continuous improvement by identifying opportunities to enhance project management processes and delivery practices.
Ensure proper documentation of project activities, decisions, lessons learned, and deliverables.
Provide guidance and support to project teams to encourage high performance and accountability.
Perform any other duties as assigned by management.
Qualifications and Experience
Bachelor’s Degree in Project Management, Mathematics, Physics, Engineering, Business, or a related field.
Professional certifications such as PMP, PRINCE2, Scrum Master, SAFe Agilist, and ITIL Foundation are required.
Minimum of two (2) years of experience in Project Management or commercial roles.
At least one (1) year of experience working within the telecommunications industry.
Azure Fundamentals certification or related cloud certifications will be an added advantage.
Experience managing large-scale digital transformation initiatives across multiple business functions is preferred.
Required Skills and Competencies
Advanced proficiency in Microsoft Project and Enterprise Project Management (EPM) tools.
Strong knowledge of project management methodologies and best practices.
Experience with agile frameworks including Scrum, Kanban, and SAFe.
Knowledge of cloud technologies, digital platforms, and enterprise systems.
Exposure to DevOps practices, CI/CD methodologies, and modern product delivery models.
Proficiency in project reporting tools such as Power BI, Jira, and Confluence.
Strong leadership and stakeholder management skills.
Excellent planning, coordination, and organizational abilities.
Effective communication and presentation skills.
Strong analytical and problem-solving capabilities.
Ability to manage multiple priorities and work effectively under pressure.
High attention to detail and commitment to delivering quality results.
Ability to work collaboratively within cross-functional teams.
Adaptability and willingness to embrace new technologies and innovative approaches.
3: IT Enterprise ArchitectÂ
Job Purpose
The IT Enterprise Architect will be responsible for developing and driving the organization’s enterprise architecture and integration strategy to ensure that technology solutions align with business objectives. The role will provide architectural leadership across the technology landscape, promoting scalable, secure, reusable, and efficient solutions that support business growth and digital transformation initiatives.
Key Duties and Responsibilities
Develop and implement end-to-end enterprise architecture strategies that support the organization’s business goals and technology roadmap.
Collaborate closely with Business Units, Product teams, Engineering teams, and Operations to ensure technology solutions are aligned with strategic objectives.
Design and maintain enterprise architecture frameworks, standards, principles, and best practices across the organization.
Plan, design, and oversee the implementation of technology solutions to ensure they meet business requirements and architectural standards.
Ensure all technology initiatives comply with enterprise architecture standards, integration protocols, security requirements, and governance frameworks.
Work closely with the IT Head of Products & Projects and IT Leadership to review and approve solution designs and implementation approaches.
Define project constraints related to scope, time, cost, and quality while ensuring architecture integrity is maintained throughout project execution.
Guide internal engineering teams and third-party vendors to ensure consistency in architecture design and implementation practices.
Develop and oversee enterprise integration strategies, ensuring seamless communication and interoperability between systems and applications.
Design and promote integration architectures utilizing service-oriented architecture (SOA), microservices, API-led connectivity, and middleware platforms.
Evaluate emerging technologies and recommend innovative solutions that enhance business capabilities and operational efficiency.
Ensure enterprise solutions are scalable, resilient, secure, and capable of supporting future business growth.
Conduct architecture reviews to identify gaps, risks, and opportunities for optimization across the technology environment.
Support digital transformation initiatives by providing technical leadership and architectural direction.
Prepare and present architecture proposals, recommendations, and roadmaps to senior management and other stakeholders.
Translate complex technical concepts and architectures into clear, business-focused language suitable for non-technical audiences.
Monitor compliance with approved architecture standards and recommend corrective actions where necessary.
Promote continuous improvement within architecture practices, ensuring alignment with industry trends and organizational needs.
Maintain documentation related to enterprise architecture standards, integration models, and technology blueprints.
Perform any other duties assigned by management in line with the objectives of the role.
Qualifications and Experience
Bachelor’s Degree in Computer Science, Information Systems, Software Engineering, or a related field.
Professional certifications in Enterprise Architecture, Integration Architecture, Cloud Computing, or related disciplines will be an added advantage.
Minimum of five (5) years of experience in Information Technology roles.
At least three (3) years of experience in Solution Architecture or Enterprise Architecture positions.
Proven experience in enterprise integration design and implementation.
Practical experience working with:
Service-Oriented Architecture (SOA)
Microservices architecture
API-led connectivity frameworks
Middleware and Enterprise Service Bus (ESB) platforms
Required Skills and Competencies
Strong strategic thinking abilities with the capacity to align technology initiatives with business priorities.
Excellent analytical skills with the ability to assess complex business and technical challenges.
Ability to translate business requirements into effective and sustainable technical solutions.
Advanced problem-solving and decision-making capabilities.
Strong understanding of enterprise architecture principles, methodologies, and governance practices.
Knowledge of integration technologies, patterns, and best practices.
Excellent communication and presentation skills.
Ability to explain complex technical architectures in a business-friendly manner to senior leadership and non-technical stakeholders.
Strong stakeholder management and relationship-building skills.
Results-oriented with a strong commitment to delivering high-quality outcomes.
Ability to work effectively in fast-paced and dynamic environments.
High level of professionalism, accountability, and integrity.
Strong organizational and planning skills with attention to detail.
Collaborative mindset with the ability to work across cross-functional teams.
Additional Information
The organization is committed to equal employment opportunities and fair treatment of all individuals in all employment practices.
Only shortlisted candidates will be contacted.
Interested candidates should submit their applications before 26 June 2026.
Leave a Comment