Lenovo

The AI Business Architect will lead the AI‑enabled transformation of the channel partner ecosystem, spanning partner recruitment, enablement, co‑selling, incentives, and lifecycle management. Operating at the intersection of business strategy and technology, this role ensures that AI use cases, operating models, and architectures are tightly aligned to partner‑led growth objectives across regions.

Key Responsibilities

1. AI Business Strategy for Channel Partners

• Define the AI vision and multi‑year roadmap for partner‑led growth, aligned with corporate and regional go‑to‑market (GTM) strategies.
• Identify, prioritise, and shape AI use cases across the partner lifecycle, including partner scoring, lead routing, next‑best‑action, incentive optimisation, deal health, and personalised enablement.
• Establish clear business outcomes and KPIs (e.g., revenue growth, pipeline velocity, partner productivity, NPS) for each AI initiative and track performance against targets.

2. Business Architecture & Operating Model Design

• Map end‑to‑end partner journeys (recruit → onboard → enable → co‑sell → support → renew) and identify opportunities where AI can reduce friction or create differentiated partner experiences.
• Design future‑state business capabilities, processes, roles, and governance required to embed AI into partner management and field operations.
• Define target operating models that effectively orchestrate HQ, regional teams, distributors, resellers, and alliances around AI‑driven insights and workflows.

3. Translating Business Needs into AI & Data Requirements

• Translate business objectives into high‑level AI, data, and integration requirements for architecture, product, and engineering teams.
• Define partner‑centric data domains, including partner profiles, hierarchies, competencies, certifications, deal data, telemetry, marketing engagement, and service interactions.
• Collaborate with Data and AI Architects to ensure data models, features, and AI services support channel‑specific segmentation, metrics, and decisioning.

4. Platform & Ecosystem Alignment

• Shape how AI capabilities are embedded into core platforms such as PRM, CRM, CPQ, partner portals, learning platforms, and incentive systems.
• Partner with product owners to ensure partner‑facing UIs, workflows, and APIs surface AI insights in an actionable, transparent, and explainable manner.
• Coordinate with hyperscalers and strategic ISVs to leverage their AI ecosystems for partner programs, including marketplaces, co‑sell platforms, and joint solutions.

5. Change Management & Adoption

• Lead stakeholder engagement across regional sales leaders, partner managers, marketing, operations, and finance to drive alignment and buy‑in.
• Design adoption strategies, playbooks, and success stories that build trust in AI‑generated insights and drive sustained usage by partner managers and partners.
• Support training and enablement for internal teams and pilot partners, incorporating feedback to refine AI solutions and business rules.

6. Governance & Value Realisation

• Define business governance frameworks for AI in partner management, including decision rights, model oversight, exception handling, and feedback loops.
• Establish mechanisms to measure and optimise value realisation, such as A/B testing, control groups, and ROI tracking.
• Ensure responsible and compliant use of partner and customer data, in line with internal policies and external regulatory requirements.

Preferred Skills & Experience

• Experience in high‑tech, SaaS, cloud, or telecom environments with mature channel ecosystems.
• Practical exposure to AI/ML, LLMs, or advanced analytics applied to GTM, sales, or partner programs.
• Experience in regional or global roles based in Singapore, collaborating with offshore delivery centres (e.g., PRC, Malaysia) and local country teams.
• Bilingual proficiency in English and Mandarin, enabling effective engagement with regional stakeholders and partners.
• Certifications or formal training in enterprise or business architecture, product management, or AI/analytics.