Job Responsibilities：

Deep Business Relationship Management & Expectation Setting

• Strategic Alignment & Proactive Enablement: Regularly participate in business unit operating reviews to deeply understand annual KPIs and pain points. Proactively propose IT and AI solutions that address these challenges. Shift from “passive order‑taking” to “active value‑delivery,” positioning yourself as a business partner rather than a back‑office supporter.
• AI Use‑Case Discovery & Value Articulation: Actively engage with each business function to identify and prioritise high‑impact AI/GenAI applications (e.g., intelligent Q&A, contract comparison, demand forecasting, RPA‑based auto‑entry). Translate AI’s ROI into business to eliminate the perception.
• Stakeholder Mapping & Influence: Identify key decision‑makers, influencers, and potential blockers within each business unit. Tailor your communication strategy accordingly. Maintain executive trust through regular one‑on‑one lunches or quarterly business reviews (QBRs), ensuring that business heads come to you first with system or AI concerns, rather than escalating complaints to senior management.

Internal Negotiation & Conflict Resolution

• Priority Bargaining (Resource Allocation): Facing multiple business units submit urgent IT or AI demands simultaneously – and IT resources (development, operations, compute, budget) are limited – lead an internal negotiation. Use data and objective criteria (urgency, business impact, expected value) to guide stakeholders toward a consensus on sequencing, persuading lower‑priority requesters to defer or scale back, ensuring resources are concentrated on the company’s highest‑value strategic initiatives.
• Scope Definition & Anti‑Scope‑Creep: Faced with vague or ever‑changing requirements, employ professional negotiation techniques to define a Minimum Viable Product (MVP) boundary. Strike the right balance between “everything we want” and “technical feasibility/cost.”
• AI Expectation Management (Critical Addition): Counter overly optimistic expectations about AI (especially LLMs by presenting quantitative metrics . Use live demos, industry benchmarks, and data samples to “cool down” expectations, clearly defining the capability boundaries, accuracy ceilings, and the need for human‑in‑the‑loop fallback mechanisms, thus avoiding trust erosion due to unmet expectations.
• Data Readiness & Governance Cost Bargaining: Convince business owners to invest the necessary human resources for data cleansing, labelling, and structural remediation, articulating clearly that “high‑quality data in = high‑value AI out.”

Change Management & Crisis Communication

• Pre‑launch Expectation Guidance: Before new systems or AI features go live, proactively communicate the “pain period” to business heads, managing their desire for perfectionism and persuading them to embrace an iterative, phased rollout.
• Major Incident Negotiation & Buffering: In the event of a critical system failure or severe AI “hallucination” that disrupts business operations, act as the primary interface to business executives. Use transparent yet strategic communication to defuse anxiety and anger, buy precious time for the technical recovery team, and minimize negative publicity.

Job Requirements：

Experience & Background

• Major in Computer Science, Artificial Intelligence, Software Engineering, Information Management, or a related field (Master’s preferred).
• 8+ years of experience in enterprise IT / digital transformation, with at least 3+ years in an IT Business Partner (or equivalent stakeholder‑facing technology management) role.
• Proven track record of delivering 3+ AI/LLM projects from PoC (Proof of Concept) to production.
• Hands‑on experience with AI enablement in at least one core business domain (Sales, Supply Chain, Finance, Customer Service, etc.).

AI Technical Architecture Skill

• Model Selection & Evaluation Framework
• RAG (Retrieval‑Augmented Generation) Implementation Supervision
• AI Agent & Tool‑Calling Design
• Security, Compliance & Content Guardrails
• Cost Modelling & Performance Optimization

Core Soft Skills (Negotiation & Relationship)

• Exceptional upward and cross‑functional influencing skills – ability to drive alignment without formal authority, using data, trade‑offs, and empathy.
• Master of conflict resolution – remains calm and rational in high‑pressure, emotionally charged situations; skilfully turns confrontation into constructive dialogue using “follow‑and‑lead” techniques.