About the role

AI summarised

The Digital Transformation Specialist leads end-to-end digital transformation initiatives, focusing on improving business processes through strategic planning, project execution, and stakeholder engagement. The role involves managing timelines, resources, risks, and documentation while supporting automation and quality assurance efforts. Candidates should have a relevant degree, strong communication and analytical skills, and experience with project management and data analysis tools.

ComponentsOnsiteBE

Key Responsibilities

Lead end-to-end digital transformation projects, from initial ideation, strategic planning to execution, deployment, and post-implementation analysis
Identify and capitalize on opportunities for innovative DX solutions that enhance business processes and operational efficiency
Develop detailed project plans, including managing timelines, resources, and stakeholder communication to ensure successful delivery on scope, schedule, and budget
Facilitate meetings, workshops, and presentations to gather requirements, provide updates, and support stakeholder engagement
Monitor project risks and issues proactively, escalating them to management and recommending mitigation strategies as appropriate
Support the development and maintenance of automation scripts or small applications that optimize processes and increase productivity
Oversee testing, validation, and quality assurance activities to ensure delivered solutions meet requirements and standards
Maintain comprehensive and up-to-date project documentation, including requirements, process flows, user manuals, and status reports

Requirements

Bachelor’s degree in information technology, Computer Science, Business Administration, or related field
3 years of relevant experience
Excellent communication and interpersonal skills to effectively liaise with business and technical teams
Proficient in requirement gathering, documentation, and project scheduling tools (e.g., ASANA)
Analytical mindset with strong problem-solving skills and attention to detail
Knowledge of data analysis techniques and tools (e.g., Power BI) is desirable