Goal of the Job:
The Senior Manager, Enterprise Applications & AI Solutions leads the strategy, delivery, governance, and operational excellence of enterprise applications while accelerating responsible adoption of AI solutions. The role translates business priorities into scalable digital capabilities, directs the business analysis function, and ensures solutions deliver measurable value, resilient operations, secure data use, and effective change adoption.
Job Responsibilities:
- Own the enterprise applications and AI solutions strategy, roadmap, architecture direction, investment priorities, and benefits realization, aligning initiatives with business strategy and measurable outcomes.
- Lead demand management and the business analysis function. Coach Business Analysts & AI Specialist to translate business needs into process designs, business cases, requirements, functional specifications, acceptance criteria, and prioritized delivery backlogs.
- Direct end-to-end delivery of enterprise application programs, including ERP, workflow, Microsoft 365, Power Platform, integrations, data and reporting solutions, from scope and vendor selection through testing, deployment, stabilization, and benefits tracking.
- Lead AI solution discovery and delivery on top of enterprise applications, including Microsoft Copilot, SAP Business AI / Joule, AI agents, RAG and enterprise knowledge solutions, intelligent automation, and analytics; establish value cases, guardrails, evaluation criteria, and adoption plans.
- Ensure reliable and secure application operations through service governance, incident and problem management, release and change control, access governance, data quality, documentation, disaster recovery readiness, and continuous improvement against agreed service levels.
- Develop the team and partner ecosystem through coaching, resource and succession planning, performance objectives, knowledge transfer, vendor governance, contract and budget control, user training, stakeholder communications, and change management.
Job Requirements:
- Bachelor's degree or above, major as Information Technology, Computer Science, Information Systems, Business Administration, Engineering, Data Science, Artificial Intelligence, or a related discipline.
- 10+ years of progressive experience in enterprise applications, ERP, digital transformation, business analysis, or IT delivery, including 5+ years in a managerial or team-lead role.
- Demonstrated delivery of large-scale application implementations and process-improvement programs in a multinational manufacturing environment; SAP experience is strongly preferred.
- Practical experience with GenAI, Copilots, AI agents, intelligent automation, analytics, or enterprise knowledge solutions, including governance and adoption.
- Proven capability in project portfolio management, vendor and budget management, production support, stakeholder engagement, and people development.
- Preferred: PMP / PRINCE2 / Agile certification; SAP certification; Microsoft Power Platform, Azure AI, or Copilot certification; ITIL; and AI Governance / Responsible AI certification.
- Enterprise application architecture and lifecycle management; ERP and manufacturing processes; integration, workflow, data, analytics, security, privacy, service management, sourcing, and financial governance.
- Generative AI, LLMs, AI agents, Copilots, prompt engineering, RAG, knowledge management, evaluation, responsible AI, cybersecurity controls, and value realization.
- Strategic planning, demand and portfolio management, business analysis, solution governance, project and change leadership, vendor negotiation, budget control, executive communication, coaching, and conflict resolution.
- Ability to translate business strategy into scalable application and AI roadmaps, communicate technical concepts in business language, and lead cross-functional delivery across cultures and locations.
- Business acumen, customer focus, accountable leadership, innovation mindset, sound judgement, collaboration, learning agility, risk awareness, resilience, and commitment to developing high-performing teams.
- Excellent written and spoken English. Cantonese and Mandarin are preferred; Portuguese or Spanish is an advantage for global site support.
- Willingness to travel to China and overseas sites as required. Strong interest in continuous business improvement and emerging technology.