The Business Architect Manager / Director is the primary architect of our Growth-to-Operations lifecycle. You will design and govern the Target Operating Model (TOM) that enables the business to scale its System Integration (SI) footprint while ensuring every project is a launchpad for high-margin Managed Services (MS). Your mission is to eliminate resource silos and architect a Liquid Workforce where technical talent is deployed with maximum precision across both Day 1 (Project) and Day 2 (Operations) workstreams.
Key Responsibilities:
1. SI Growth & Commercial Architecture
- Integrated Offer Design: Architect the SI-plus-MS blueprint. Design service modules that enable Sales teams to bundle long-term managed services into initial SI bids, ensuring recurring revenue is embedded in the Day 1 contract.
- Scalable Operating Model (TOM): Design the organizational structure required to support rapid SI expansion in Singapore, ensuring the model can handle a 2x increase in project volume without a linear increase in management overhead.
- Market Alignment: Translate Singapore-specific market demands (e.g., hybrid cloud migrations, cybersecurity resilience) into standardized architectural patterns for repeatable delivery.
2. Resource Deployment & Optimization
- Liquid Talent Framework: Architect a resource deployment engine that allows engineers to move fluidly between high-intensity SI project phases and steady-state Managed Services support based on real-time demand.
- Predictive Capacity Orchestration: Build the logic for a predictive Bench Management system, correlating the SI sales pipeline with existing contract lifecycles to forecast talent deployment and prevent dead time.
- Global-Local Delivery Mix: Architect the interaction between Singapore-based Onshore specialists and Offshore/Nearshore delivery centers to optimize the unit cost of every project and service.
3. Lifecycle Efficiency & Margin Engineering
- The Zero-Friction Handover: Design the architectural gatekeeping process to ensure SI projects are delivered Operations-Ready, reducing Hyper-care costs that erode margins during the transition to MS.
- Standardization vs. Bespoke Control: Establish the 80/20 Rule in service design-architecting solutions so 80% of delivery uses standardized building blocks, allowing high-cost local resources to focus on 20% high-value customization.
- Value Stream Optimization: Map and optimize the end-to-end flow from Project Kickoff to Steady-State Support to eliminate cost leakages and resource bottlenecks.
Critical Deliverables
Deliverable Purpose
Integrated Operating Model (TOM)
The master blueprint for how SI and Managed Services teams collaborate and share resources.
Resource Deployment Matrix
A logic-based framework for assigning talent based on project priority, skill level, and margin impact.
SI-to-MS Lifecycle Map
A visual guide for the seamless transition of a client from Build to Run.
Unit Cost & Margin Framework
A financial model that defines the Cost-to-Serve for every major SI and MS offering.
Experience & Qualifications
Educational Requirements
- Bachelor's Degree: Required in Business Administration, Computer Science, Engineering, or a related field.
- MBA or Master's Degree: Highly preferred, with a focus on Operations, Strategy, or Finance to support the Margin Engineering aspect of the role.
Professional Certifications
- Business/Enterprise Architecture: Mandatory certification in TOGAF (9.2 or higher) or Zachman Framework.
- Process Excellence:Lean Six Sigma (Green/Black Belt) or BPMN certification is highly valued for value stream optimization.
- Service Management:ITIL v4 Foundation/Specialist is essential for designing the SI-to-MS handover.
- Project Management:PMP or PRINCE2 is preferred to understand the lifecycle of SI delivery.
Competencies
- SI Landscape: 8+ years of experience in System Integration or Managed Services
- Structural Design: Proven success in designing or transforming Operating Models for technology service providers.
- Workforce Planning: Advanced expertise in resource optimization and capacity modeling.