Frost MetaBrain: Lead Architect - Business & Technology

Frost & Sullivan; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Frost & Sullivan seeks a Lead Architect - Technology to drive decision-automation research and deliver configurable AI-enabled advisory solutions. You will lead discovery with clients, codify methods, and translate them into scalable software configurations and governance workflows.

Applicants should have 6+ years in research/consulting, strong cross-functional leadership, and familiarity with API design and workflow automation. MBA helpful but not required.

Qualifications

• 6+ years of relevant experience leading research or consulting engagements.
• Client discovery, framework design, quantitative interpretation and cross-functional leadership experience.
• MBA or relevant postgraduate qualification is useful but not mandatory.
• Lead Architect level experience with software architecture, integrations, secure deployment and technical delivery.

Responsibilities

• Define decision and product; run discovery with advisors and clients; prioritize reusable GPM modules.
• Codify advisory method: map inputs, processes, outputs, taxonomies and evidence requirements.
• Lead build and validation: translate method to specs and delivery backlog; coordinate pilots and reviews.
• Design for repeatability: define configuration boundaries, update frequency and reusable components; own API, orchestration and deployment designs.

Skills

Research & consulting

Cross-functional leadership

AI/ML concepts

Product management

Framework design

Education

MBA or postgraduate

Tools

API design

Workflow automation

Data modelling

Job description

Bring your research and consulting expertise into MetaBrain solution development. Turn industry knowledge and advisory methods into reusable, continuously updated software-enabled services.

MetaBrain combines Frost & Sullivan’s 60 years of industry expertise, enterprise data, and third-party insights, delivering human-reinforced AI insights and analytics to solve your toughest business use cases with actionable, real-time intelligence.

https://metafrost.ai/

The work

Selected colleagues will build decision-intelligence models, knowledge structures, evaluation assets and governed workflows for Growth Pipeline Management (GPM) and other approved research/advisory use cases.

The ambition extends beyond generating reports or building a generic chatbot: create configurable solutions that help clients identify opportunities, evaluate alternatives, simulate scenarios and monitor change, with accountable advisor review.

Key responsibilities

• Define the decision and product. Run discovery with advisors and clients; define the decision owner, alternatives, constraints and measurable value. Prioritize reusable Growth Pipeline Management (GPM) modules rather than one-off report automation.
• Codify the advisory method. Map inputs, process and outputs; create taxonomies, concept relationships, scoring rules, scenario assumptions and evidence requirements. Separate measured facts, expert judgment, forecasts and unresolved gaps.
• Lead the build and validation. Translate the method into specifications and a delivery backlog. Configure advisor Design/Tuning and client Advisory/Simulation experiences with the team; coordinate pilots, advisor review, change control and adoption.
• Design for repeatability. Define configuration boundaries, update frequency, operating costs and reusable components. In the technology variant, additionally own approved API, orchestration, identity, reliability and deployment designs, supported by engineering review.

Essential Requirements

• A strong record of leading research or consulting engagements and explaining industry economics; typically 6+ years of relevant experience, with equivalent achievement considered.
• Demonstrated client discovery, framework design, quantitative interpretation and cross-functional leadership. Foundational AI learning through a certificate, assessed course or equivalent, plus a practical example of AI-assisted research with source checking.
• Preferred: Product management, solution design, workflow automation, industry knowledge modelling, business analytics or enterprise-platform exposure. An MBA or relevant postgraduate qualification is useful, not mandatory.
• Entry level and authority: Business-led entry does not require production coding. Appointment as Lead Architect - Technology requires separate evidence of software architecture, integrations, secure deployment and technical delivery; an AI certificate alone is insufficient.