Solution Delivery Consultant
# Solution Delivery Consultant **We Plus** · Outram · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Indeed* --- ### About the Role Role Summary We+ Asia, in partnership with PhoenixDX, is growing its project delivery capability and we are looking for someone who can operate across the full engagement lifecycle — from shaping the solution with the client to owning the delivery end-to-end. This is a dual-brand role, combining We+ Asia’s staffing and consulting expertise with PhoenixDX’s fixed-price AI and digital delivery practice. Hands-on and versatile, this position sits at the crossroads of pre-sales, data & AI advisory, and project execution. Key Responsibilities Shape the Solution Lead solution design workshops with clients — understand their data, AI, and digital transformation challenges and translate them 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, not just a project manager. Contribute to We+ Asia and PhoenixDX’s joint positioning as a credible delivery partner in data, AI, and digital transformation across HK and SG markets. Support Pre-Sales & Win Work Join and lead pre-sales conversations with CTOs, CDOs, Heads of Digital, and transformation sponsors — credibly discussing data platforms, AI implementation, and delivery approaches. Translate client challenges into compelling proposals and scopes of work — with clear delivery approaches, team structures, and commercial models. Partner with the We+ sales team to convert staffing relationships into project mandates — you bring the delivery credibility they need to close. Support the commercial cycle from qualification to signed SOW — with a clear understanding of what it takes to scope and price a project correctly. Identify expansion opportunities within active accounts — additional workstreams, new use cases, follow-on projects. Deliver Projects Lead delivery on data, AI, and digital transformation engagements: governance, risk, scope, budget, and timeline — from kick-off to go-live. Manage cross-functional delivery teams — data engineers, AI specialists, developers, BAs, and client-side resources — maintaining coherence across workstreams. Ensure architectural quality on data and AI projects — pipeline design, model deployment, integration patterns, platform choices — with a hands-on understanding of what good looks like. Translate complex data and AI topics into clear business communication for senior stakeholders — you can talk to a data engineer and a CFO in the same day and be understood by both. Drive quality, velocity, and client satisfaction. Qualifications & Experience Bachelor's Degree in information Technology or related fields. Over 7 years across software delivery, data/AI programme management, consulting, or digital transformation — with a clear track record of owning projects end-to-end. Hands-on experience across the full delivery lifecycle on data or AI projects: discovery, scoping, build, testing, go-live, and post-go-live support. Genuine data and AI fluency — you understand data pipelines, cloud platforms, ML deployment, and agentic AI well enough to lead technical conversations with clients and challenge delivery teams. Comfortable in pre-sales: shaping solutions, writing proposals, presenting to senior stakeholders, and contributing to commercial conversations without needing a sales team to carry you. Proven ability to manage client relationships at a senior level — you earn trust through competence and follow-through, not just relationship management. Exceptional communication skills — equally fluent in technical depth and business impact; can write a sharp SOW and present it clearly to a board. Preferred Background in a consulting firm, digital transformation agency, or technology integrator. Hands-on familiarity with data platforms (Snowflake, Databricks, Azure Synapse), BI tools (Power BI, Tableau), or AI/ML frameworks — you don’t need to code, but you need to know what you’re talking about. Experience delivering in financial services, utilities, enterprise, or regulated industries in APAC. Prior exposure to bid writing, RFP responses, or proposal development. Cantonese is a plus in order to effectively communicate within the HK market. What Success Looks Like First project delivery completed on scope, on time, and with a satisfied client who asks for the next engagement. Pre-sales contributions that convert — you are regularly in client conversations, your proposals land, and your input is requested before the sales team goes in alone. 2+ data or AI projects active simultaneously by end of Year 1 — delivered with quality and generating referrals. You are known internally as the person who makes delivery credible — the sales team brings you into conversations because you raise the quality of the pitch. A growing portfolio of delivery references in data, AI, and digital transformation. Our Company: Founded in 2014, We-plus Pte.Ltd. is a company specialized in organization and information system management in financial and banking environments that work with its clients as they outsource their projects in innovation, as well as research and development. Our purpose is to improve the innovation, competitiveness and performances of our clients. We contribute to all the key steps in our clients’ project lifecycles, from an analysis of the needs through implementation and industrialization. We-plus Pte.Ltd. offers strategic, operational and technological solutions intended to accompany clients as they carry out their projects, by providing complete expertise. We-plus Pte.Ltd. is strongly dedicated to sustain the strong growth of companies specializing in key sectors such as banking/finance and others.
Наблюдалась 2026-09-21, впервые 2026-09-21, источник — Indeed.