About the Role

 Department/Section: Technology / Technology Strategy and PMO

Job Title: Technology Strategy and Transformation Adv. Specialis

Job Purpose

This role will accelerate technology transformation by collaborating with both technology and business functions, as well as vendors, to identify the right problem, generate ideas, and conduct low-cost experiments and prototypes to validate assumptions/solutions and extract insights to shape the transformation required initiatives’ decisions, broader visions, strategies, and requirements, focusing on automation, AI, and data-driven solutions mainly using cost-effective public cloud SAAS and/or managed services. The goal is to enhance the agility and effectiveness of the technology function while fostering a data-centric and customer-centric approach, supporting Zain's digital transformation journey toward becoming the preferred mobile operator.

 Key Tasks / Accountability

Network Data-Centricity Operation Strategy Experimentation and Validation

Collaborate with OSS, Operations, Planning, Service Quality, and vendors to develop a Network Data Strategy and Top-down data-centric operations architecture to enhance insights into network operations, performance, events, cause and contributing factors, capacity, and probable future trends and outcomes through iterative, experimental pilots, leveraging data observability, AI, and cloud technologies before scaling up.

• Identify key business questions (KBQs) and performance metrics to be addressed using data from networks, OSS, availability, traffic, terminal penetration, rollouts, expansion, users, customer complaints, social listening, and other relevant sources.

• Lead collaborative efforts to experiment with, build, and deploy data models leveraging non-capex-intensive public cloud technologies like AWS.

• Design self-service dashboards and advocate for the use of AI-driven network copilots to support problem understanding, improve customer visibility, and optimize capacity planning and management.

Data-Driven Application Strategy Experimentation and Valuation

Collaborate with development, operations, customer experience, and business teams to define a data-driven strategy and practice for Zain's customer apps and touchpoints to enhance customer insights, engagement, and convergence. Pilot and validate the concept using experiments that leverage Design Thinking, cloud-native designs, data observability, and public cloud services.

• Define the technology and enterprise efficiency and agility problems and collaborate with stakeholders to define the possible technical solutions focusing on AI, Automation, Robotics, and cognitive solutions

• Identify key business questions (KBQs), assumptions, and performance metrics to guide the data-driven application/touchpoint development validation experiments.

•  Determine data requirements to enhance customer engagement and convergence across applications and touchpoints throughout the digital sales funnel / customer journey

• Promote the use of Design Thinking practices and problem definitions as essential inputs for application and touchpoint design.

• Collaborate on the development of a reference Digital Capability model for customer touchpoints.

• Led the experimentation of pilot implementation of public cloud-based applications data pipelines and/or platforms to generate customer insights and recommendations across apps and touchpoints.

• Train teams and create use cases to advocate for data observability and application development on public cloud platforms.

• Create frameworks to evaluate legacy applications/touchpoints for potential refactoring or re-platforming and identify new applications to follow emerging patterns.

Enterprise Digital Transformation Accelerations via Experimentation and Valuation

Work closely with Application Development, Operations, and Business Excellence teams to accelerate enterprise digital transformation through experimentation and validation. Leverage Automation, AI, and cognitive technologies (e.g., IDP, IDC, process & task mining, communication mining, NLP, test automation) to streamline processes, minimize manual efforts, and boost operational agility, efficiency, and sustainability.

• Define the technology and enterprise efficiency and agility problems and collaborate with stakeholders to define the possible technical solutions focusing on AI, Automation, Robotics, and cognitive solutions

• Collaborate to validate the solutions in the form of experiments: defining experiments requirements, outcomes, assumptions, KBQs, and boundaries, success factors

• Document learnings and support in the decision of either to scale the solution, pivot or pull the plug

• Based on learning, define the technology and enterprise-wide automation strategy, framework, use cases, Roadmap, and guidelines in collaboration with the Business Excellence function

• Create presentations and short training sessions to advocate for using automation, AI, and cognitive technologies to transform the enterprise and technology landscape.

Typical Performance Measures

• ·         The right KBQs: Successful identification of the Key Business Question (KBQs) for solving key Technology and Business problems via Automation and data-driven technologies.

• ·         Successful validation: Successfully validate and prove the need for and benefit from automation and data-driven technologies.

• ·         Lessons and knowledge share: spread experiments and validations lessons learned to support adopting those transformation technologies in the technology business as usual structure and operating model

Dimensions    

• Scope: Direct influence on Zain Sudan’s technology modernization, focusing on data-driven strategies and public cloud technologies.

• Collaboration: Work across multiple teams (Operations, Planning, Development, Service Quality, Customer Experience, and Business) to align strategies and drive experiments.

Innovation: Pioneering new approaches to automation, data, and cloud technologies to improve operational efficiency and customer experience

What We Need From You

Personal Specifications

Qualifications/Experience

• Bachelor's or master’s in engineering, Computer Science, or related field.

• Background in technology strategy, data management, applications development, OSS and/or automation

• Experience in public cloud technologies and services (mainly AWS).

• Understanding of cloud-native technologies and designs in public cloud

• Knowledge of telecommunications network operations, especially OSS

• Knowledge of AI/ML-driven solutions, Agentic AI, IDP, RPA, data modeling, Data Engineering, Data Observability, and digital transformation initiatives.

• Strong background in network/IT operations, customer experience, or related areas in the telecommunications industry.

• Familiarity with Design Thinking methodologies and customer-centric development.

• General knowledge of Services (online systems), Batch processing systems (offline systems), and Stream processing systems (near-real-time systems).

• Certificate in (CDMP, AWS Data Engineer, AWS AI Practitioner, AWS Developer) is a plus.

• Knowledge of Enterprise Architecture Frameworks and practices in leading transformation

Skills

• Strategic Thinking and Innovation

• Leadership and Collaboration

• Analytical Problem-Solving

• Agility and Adaptability

• Advocacy and Influencing

• Technical and Business Communication

• Customer-Centric Focus

• Outcome-Oriented Execution

• Passionate, Self-Motivated and proactive

Behaviours for Success

• Strategic, Transformative, and Innovative Thinking: Continuously seek new ways to experiment and validate leveraging technology for technology/business improvement and transformation.

• Leadership, Collaboration and Teamwork: Work closely with cross-functional teams to ensure alignment and shared goals.

• Analytical mindset: ability to translate business challenges into data-driven solutions.

• Agility: Adapt to changing technology landscapes and shifting business priorities with flexibility and resilience.

• Advocations and influence: Ability to advocate for new technologies and practices such as Design Thinking, AI, IDP, data observability, cloud services, RPA, BPA to influence decision-making and strategy.

• Effective communication: ability to present complex technical solutions to non-technical stakeholders.

• Customer-Centric Mindset: Always prioritize customer needs and experience in technology strategy development.

• Results-Driven: Maintain focus on achieving measurable outcomes that support Zain Sudan’s digital transformation goals.

• Self-Motivation and Proactivity: Demonstrates a passion for driving initiatives independently, relying on intrinsic motivation and personal ownership (minimum supervision) rather than administrative oversight.