Job Summary
The Technical Project Coordinator will play a key role in coordinating technical projects from initiation through delivery. The ideal candidate will work closely with project managers, software engineers, BI developers, QA teams, and clients to ensure projects are delivered on time, within scope, and aligned with business objectives.
Key Responsibilities
- Coordinate and monitor multiple software and technology projects simultaneously.
- Support project planning, scheduling, resource allocation, and execution.
- Track project progress and ensure milestones and deliverables are met.
- Facilitate communication between clients, technical teams, and stakeholders.
- Organize and lead project meetings, prepare agendas, and document meeting minutes.
- Monitor project risks, issues, dependencies, and action items, ensuring timely resolution.
- Assist in gathering, documenting, and validating business and technical requirements.
- Prepare project documentation, status reports, project plans, and dashboards.
- Coordinate User Acceptance Testing (UAT) activities and support project deployments.
- Ensure project documentation is complete, organized, and up to date.
- Collaborate with development and QA teams throughout the Software Development Life Cycle (SDLC).
- Support Agile ceremonies, including Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives.
- Escalate project risks and blockers when necessary.
- Maintain strong relationships with clients through proactive communication and follow-up.
- Continuously identify opportunities to improve project coordination processes and delivery efficiency.
Qualifications
- Bachelor's degree in computer science, Information Systems, Engineering, Business Information Systems, or a related field.
- 2+ years of experience in project coordination, project management, or software implementation.
- Experience coordinating software development or Business Intelligence projects is highly preferred.
- Familiarity with Agile and Scrum methodologies.
- Basic understanding of the Software Development Life Cycle (SDLC).
- Experience working with cross-functional technical teams.
Required Skills
- Excellent organizational and time management skills.
- Strong written and verbal communication skills in English.
- Exceptional stakeholder management and interpersonal skills.
- Strong analytical and problem-solving abilities.
- Ability to manage multiple priorities in a fast-paced environment.
- High attention to detail and commitment to quality.
- Proactive, self-motivated, and results oriented.
Technical Skills
Experience with one or more of the following tools is preferred:
- Jira
- Azure DevOps
- Microsoft Project
- Trello
- Asana
- Microsoft Office Suite (Excel, PowerPoint, Word)
- Microsoft Teams
- Confluence
Preferred Qualifications
- PMI, CAPM, PRINCE2, Scrum Master, or Agile certifications are a plus.
- Experience in Data Analytics, Business Intelligence, AI, ERP, CRM, or Digital Transformation projects is highly desirable.
- Experience working in client-facing environments.
What We Offer
- Competitive salary package.
- Professional development and continuous learning opportunities.
- Exposure to enterprise-level technology and digital transformation projects.
- Collaborative and innovative work environment.
- Career growth opportunities within a fast-growing technology company.
If you are passionate about technology, project coordination, and delivering successful solutions, we'd love to hear from you and welcome you to the Data Science Middle East team.
Skills Required
- Bachelor's degree in computer science, information systems, engineering, business information systems, or a related field
- At least 2 years of experience in project coordination, project management, or software implementation
- Familiarity with Agile and Scrum methodologies
- Basic understanding of the Software Development Life Cycle
- Experience working with cross-functional technical teams
- Experience coordinating software development or Business Intelligence projects
- Experience with Jira, Azure DevOps, Microsoft Project, Trello, Asana, Microsoft Office Suite, Microsoft Teams, or Confluence
- PMI, CAPM, PRINCE2, Scrum Master, or Agile certification
- Experience in Data Analytics, Business Intelligence, AI, ERP, CRM, or Digital Transformation projects
- Experience working in client-facing environments
- Strong organizational, time management, written and verbal communication, stakeholder management, analytical, and problem-solving skills
- Strong English communication skills
What We Do
As a leading AI and Data Analytics provider in the MENA region, DataScience Middle East specializes in transforming raw data into actionable insights, enabling governments, financial institutions, and telecommunication companies to drive innovation and achieve meaningful business outcomes. Founded in 2015, our expertise lies in developing cutting-edge AI solutions and fostering a deep mastery of analytics. With a focus on delivering impactful, scalable technologies, we are committed to helping organizations harness the power of data to make informed decisions that shape the future. Our core offerings include: 1. Advanced AI & Machine Learning Solutions: Custom-built to address specific industry challenges. 2. Data Management & Analytics: Enabling organizations to unlock the full potential of their data. 3. Compliance & Regulatory Solutions: Ensuring organizations meet industry standards and regulatory requirements, including data privacy, financial compliance, and AI governance. We help businesses navigate complex regulatory landscapes by implementing secure, transparent, and ethical AI and data management practices. 4. End-to-End Consulting: Tailored advisory services that guide clients through every step of their data transformation journey. At DataScience Middle East, we pride ourselves on driving digital transformation across various industries by providing innovative, reliable, and highly efficient AI-driven solutions. With our dedicated team and strong partner network, we empower our clients to excel in a rapidly evolving technological landscape.
