Technology Operations Specialist

About the role

Key responsibilities

• Identify opportunities to improve business efficiency, customer experience, governance, and operational performance through AI, automation, and data analytics.
• Engage stakeholders, map processes, gather requirements, and translate business needs into use cases, business cases, functional requirements, success criteria, and roadmaps.
• Build POCs, prototypes, AI agents, Power BI dashboards, automation workflows, and MVPs; design data models and dashboards for decision-making.
• Plan and manage pilots, including milestones, dependencies, risks, testing, feedback, and progress reporting.
• Collaborate with IT, Data, Digital, Cybersecurity, Procurement, and business teams to ensure solutions are feasible, secure, cost-effective, and scalable.
• Prepare presentations, dashboards, executive updates, and recommendations; support adoption with user guides, training materials, feedback sessions, and handover documentation.

Requirements

• Bachelor's degree in Computer Science, IT, Engineering, Data Analytics, Business Information Systems, Digital Transformation, or a related field.
• At least four years of relevant experience in digital transformation, innovation, business analysis, AI adoption, data analytics, automation, product development, or related technology-enabled roles.
• Hands-on experience building practical technology solutions, prototypes, POCs, MVPs, AI agents, dashboards, or automation workflows.
• Strong business analysis skills, including process mapping, requirements gathering, use-case development, and business-case preparation.
• Practical knowledge of AI solutions, data analytics, Power BI, automation, and low-code/no-code platforms.
• Understanding of emerging technologies, cloud platforms, integration concepts, cybersecurity, and enterprise technology architecture.
• Experience managing projects or pilots, including timelines, risks, dependencies, testing, and stakeholder communication.
• Strong analytical thinking, problem-solving, documentation, presentation, and communication skills; ability to explain technical concepts in clear business language.

Preferred qualifications

• Certifications in AI, data analytics, Power BI, automation, project management, product management, design thinking, or business analysis are preferred.
• A master's degree in a relevant discipline is preferred.