Qualifications
Must-Have Qualifications
1. Education
- Bachelor’s or master’s degree in Computer Science/Engineering, Engineering, Information Systems, Business Information, Data Science, or a related technical field.
2. Experience
- At least 8 years of direct experience in technology project management, preferably within software development, data engineering, AI/ML, or analytics implementation projects.
- Demonstrated ability to manage cross-functional technology projects, including planning, execution, risk management, and stakeholder coordination.
3. Technical Skills
- Proficiency in at least one programming or scripting language such as SQL, R, or Python, with hands-on experience developing or maintaining data pipelines, models, or automation scripts.
- Strong understanding of software development life cycle (SDLC), agile methodologies (e.g., Scrum), and DevOps principles.
- Familiarity with version control tools, CI/CD practices, and basic cloud platforms (e.g., AWS, Azure).
4. Project Management Capabilities
- Proven experience in managing or delivering technical projects end-to-end, with measurable outcomes.
- Solid understanding of project management tools and techniques (e.g., JIRA, MS Project).
- Strong documentation, reporting, and client-facing communication skills.
Preferred / Advantageous Qualifications
1. Tech Consulting Experience
- Experience in a technology consulting or solution delivery role, ideally involving client engagement, pre-sales support, or system integration work.
2. Data Analytics & AI/ML
- Exposure to data analytics, dashboarding (e.g., Power BI, Tableau), or basic data modelling is a plus.
- Familiarity with AI/ML techniques, tools (e.g., scikit-learn, TensorFlow), or use cases in business or operations is an added advantage.
3. Certifications (Desirable but not required)
- PMP or PRINCE2 for project management.
- Certifications in cloud platforms (e.g., AWS Certified Developer, Azure Fundamentals).
- Data or ML-related certificates (e.g., Google Data Analytics, TensorFlow Developer).
Core Competencies
- Strong analytical and problem-solving abilities.
- Adaptable and self-directed with the ability to manage multiple workstreams.
- Excellent interpersonal, stakeholder management, and leadership skills.
- Business acumen to connect technical deliverables with organizational goals.