Job Description

Strategic Project Leadership

• Drive end-to-end delivery of AI transformation initiatives — from discovery and business case development to deployment and value realisation.
• Define measurable success metrics (ROI, operational efficiency gains, automation rates) and ensure accountability for outcomes.
• Translate enterprise-level business objectives into structured execution roadmaps aligned with company growth strategy.
• Prioritise initiatives based on commercial impact, feasibility, and strategic alignment.
  
  Business & Solution Strategy
• Diagnose client operational bottlenecks across procurement, inventory, manufacturing, and logistics domains.
• Shape AI deployment strategies that integrate technical feasibility with commercial viability.
• Develop phased implementation plans (MVP → pilot → scale) with clear milestone governance.
• Support executive-level discussions by presenting solution frameworks, cost-benefit analyses, and transformation roadmaps
  
  Cross-Functional Execution Management
• Lead multidisciplinary teams (AI, Platform, Systems, Performance Engineering, Operations) through structured delivery cycles.
• Implement Agile or hybrid governance models suited to enterprise AI deployments.
• Manage scope, dependencies, technical risks, change management, and stakeholder alignment.
• Ensure technical delivery aligns with security, compliance, and enterprise governance standards.
  
  Startup Scaling & Operational Excellence
• Build repeatable deployment playbooks and standardised delivery frameworks.
• Improve internal PM processes, reporting cadence, and risk management mechanisms.
• Contribute to internal strategy discussions on product direction and deployment architecture.
• Strengthen feedback loops between client deployments and product roadmap evolution.
  
  Commercial & Stakeholder Management
• Act as strategic advisor to enterprise and public-sector stakeholders.
• Support pre-sales initiatives including solution scoping, proposal development, and technical-commercial alignment.
• Manage client expectations at both operational and executive levels.
• Identify upsell and expansion opportunities through performance insights and optimisation results.

Job Requirements

Experience

• 2–5 years of professional experience in project management, product management, business consulting, or technology delivery, with prior hands-on experience in engineering, software development, or technical operations preferred.
• Experience working with AI, data platforms, analytics, or digital transformation projects is strongly preferred.
• Prior experience in startups, technology firms, consulting, or enterprise environments is an advantage.

Language Skills

• Professional working proficiency in English.

Technical & Business Acumen

• Strong interest in AI, generative AI, LLMs, and AI-driven products.
• Ability to communicate effectively between technical teams and non-technical stakeholders.
• Familiarity with Agile, Scrum, or hybrid project management methodologies.
• Understanding of enterprise business processes, governance, and stakeholder management.

Education

• Bachelor’s degree in Business, Management, Economics, Engineering, Computer Science, or a related field.
• Background in AI, data science, or machine learning is a plus but not mandatory.
• Professional Certification in Project Management Professional (PMP) is a plus but not mandatory.

Skills