Data & AI Delivery Lead

WE-PLUS PTE. LTD.; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

We+ Asia is seeking a versatile delivery leader to operate across the full engagement lifecycle, from shaping the solution with clients to owning delivery end-to-end. The role sits at the intersection of pre-sales, data & AI advisory, and project execution in partnership with PhoenixDX for HK and SG markets.

You will lead solution design workshops, craft compelling SOWs and delivery plans, and mentor cross-functional teams of data engineers, AI specialists, and business stakeholders toward

Qualifications

• Bachelor's Degree in information Technology or related fields.
• 7+ years across software delivery, data/AI programme management, consulting, or digital transformation with end-to-end ownership.
• Hands-on experience across the full delivery lifecycle on data or AI projects.
• Genuine data and AI fluency — understand data pipelines, cloud platforms, ML deployment and AI concepts to lead technical conversations.

Responsibilities

• Lead solution design workshops with clients — translate data, AI and digital transformation challenges into scoped, costed delivery proposals.
• Define the right engagement model for each mandate — fixed price, T&M, co-delivery, or managed services — and structure it commercially.
• Build compelling SOWs, delivery plans, and governance frameworks tailored to each client context.
• Advise clients on data architecture, AI use case prioritisation, and platform selection — acting as a trusted technical advisor.
• Deliver projects by governing scope, budget, timeline, and risk while coordinating cross-functional teams.

Job description

We+ Asia is seeking a versatile delivery leader to operate across the full engagement lifecycle, from shaping the solution with clients to owning delivery end-to-end. The role sits at the intersection of pre-sales, data & AI advisory, and project execution in partnership with PhoenixDX for HK and SG markets.

You will lead solution design workshops, craft compelling SOWs and delivery plans, and mentor cross-functional teams of data engineers, AI specialists, and business stakeholders toward