Job Summary:
The Transformation Manager will lead and drive strategic business transformation initiatives focused on improving operational effectiveness, efficiency, productivity, accuracy, and cost optimization through technology, process improvement, automation, and Artificial Intelligence (AI).
The ideal candidate must have extensive, hands-on experience as an end-to-end Project Lead or Project Manager in at least two (2) of the following systems:
- WMS / ERP – Warehouse Management System / Enterprise Resource Planning
- TMS – Transportation Management System
- SND – Supply Network Design
- APS – Advanced Planning and Scheduling
The candidate must demonstrate actual leadership in successful system implementation and a deep understanding of how these projects delivered measurable operational improvements, such as reduced lead times, lower manpower requirements, improved transaction accuracy, optimized resources, reduced operating costs, and increased productivity.
Duties and Responsibilities:
A. Business Transformation and Project Leadership
- Lead end-to-end transformation projects, from opportunity identification, process assessment, business case development, solution design, implementation, testing, deployment, and post-implementation evaluation.
- Act as the overall Project Lead for major technology and operational transformation initiatives involving WMS, ERP, TMS, SND, APS, and related business applications.
- Work closely with Supply Chain, Logistics, Warehousing, Manufacturing, Planning, IT, Finance, and other departments to identify opportunities for process improvement and automation.
- Establish project objectives, timelines, milestones, resource requirements, budgets, deliverables, and measurable success criteria.
- Lead cross-functional project teams, manage external vendors and system providers, and ensure timely delivery of project objectives.
- Oversee User Acceptance Testing (UAT), system integration testing, data migration validation, parallel runs, go-live readiness, user training, and post-implementation stabilization.
- Develop change management and user adoption strategies to ensure sustainable implementation of new systems and processes.
B. Systems Implementation and Optimization
- Evaluate existing business processes and identify operational gaps, inefficiencies, bottlenecks, and opportunities for digital transformation.
- Lead implementation or enhancement initiatives involving Supply Chain Logistics systems
- Ensure system solutions address actual operational requirements rather than simply automating existing inefficient processes.
- Identify opportunities for further system enhancement, process simplification, integration, and automation.
- Monitor post-implementation performance and ensure that expected business benefits are realized and sustained.
C. Operational Effectiveness, Efficiency, and Continuous Improvement
- Identify, quantify, and prioritize transformation opportunities based on business impact, implementation feasibility, cost, and return on investment.
- Establish baseline operational performance and measurable improvement targets before implementing transformation initiatives.
- Drive initiatives that achieve measurable process improvements and operational excellence in warehouse operations.
- Conduct root cause analysis, process mapping, workflow redesign, and performance evaluation.
- Quantify project benefits through productivity improvements, cost savings, cost avoidance, return on investment, and other relevant operational KPIs.
- Present project results and recommendations to senior management, supported by actual data and documented business improvements.
D. Artificial Intelligence (AI) Utilization and Optimization
- Spearhead the organization's adoption and effective utilization of AI tools such as ChatGPT, Claude, Microsoft Copilot, and other relevant AI-powered business solutions.
- Identify practical AI use cases across departments that can improve productivity, automate repetitive tasks, enhance analytical capabilities, and support faster decision-making.
- Lead AI-driven transformation initiatives
- Evaluate and pilot AI solutions through proof-of-concept projects, feasibility assessments, and controlled implementation.
- Establish measurable business objectives and productivity targets for AI-related initiatives.
- Develop practical AI utilization guidelines, training programs, and adoption strategies for employees and department heads.
- Coordinate with IT, Information Security, and relevant stakeholders to ensure appropriate AI governance, data privacy, cybersecurity, and responsible AI usage.
- Continuously assess emerging AI technologies and recommend solutions with clear business value.
E. Stakeholder Management and Change Leadership
- Partner with department heads and process owners to align transformation initiatives with business priorities.
- Facilitate workshops, project reviews, and process improvement discussions.
- Manage resistance to change and promote a culture of innovation, collaboration, and continuous improvement.
- Provide regular progress reports, risk assessments, project updates, and business benefit realization reports to senior management.
- Develop internal capabilities through knowledge transfer, coaching, and training on digital transformation and AI utilization.
Job Qualifications:
- Bachelor's degree in Industrial Engineering, Information Technology, Computer Science, Supply Chain Management, Operations Management, Business Administration, or a related discipline.
- Master's degree in Business Administration, Supply Chain Management, or a related field is an advantage.
- Relevant certifications in PMP, Lean Six Sigma, Agile, or Project Management are advantageous.
- At least 8–10 years of relevant experience in business transformation, supply chain systems, operational excellence, technology implementation, or project management.
- At least 3–5 years in a Project Lead, Project Manager, or Transformation Leadership role, with direct accountability for major systems implementation.
- Proven hands-on project leadership experience in at least two (2) of WMS/ERP, TMS, SND, and APS.
- Relevant experience in supply chain transformation, ERP implementation, master data management, PMO, business analysis, or process excellence.
- Strong knowledge of end-to-end supply chain operations, including warehousing, transportation, distribution, inventory management, and planning.
- Practical experience using AI tools such as ChatGPT, Claude, or Microsoft Copilot for business applications, process improvement, analytics, or productivity enhancement.
- Technical and Functional Competencies:
- - End-to-end project and program management.
- - Business process reengineering and optimization.
- - WMS / ERP / TMS / SND / APS functional knowledge.
- - Digital transformation and systems integration.
- - AI tools utilization, use‑case development, and optimization.
- - Data analytics, business intelligence, and KPI management.
- - Process automation and workflow improvement.
- - Business case development and ROI analysis.
- - Change management and stakeholder engagement.
- - Vendor management and implementation governance.
Note: Must be willing to report onsite at least four (4) days per week in Ortigas, Pasig, with one (1) work-from-home day weekly.