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 65 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
Reporting to Chief Architect - Business, and with technical accountability to Chief Architect - Technology, the incumbent will be responsible to turn Frost research and advisory methodologies into configurable MetaBrain decision-intelligence solutions. Lead the translation from a client decision to its data, logic, workflow, user experience and acceptance criteria, working with a qualified technology counterpart.
- 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.
Skills Required
- Typically 6 or more years of relevant research or consulting experience, or equivalent achievement
- Experience explaining industry economics
- Client discovery experience
- Framework design experience
- Quantitative interpretation experience
- Cross-functional leadership experience
- Foundational AI learning through a certificate, assessed course, or equivalent
- Practical example of AI-assisted research with source checking
- Product management, solution design, workflow automation, industry knowledge modelling, business analytics, or enterprise-platform experience
- MBA or relevant postgraduate qualification
- For the Technology variant: evidence of software architecture, integrations, secure deployment, and technical delivery
Frost & Sullivan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Frost & Sullivan and has not been reviewed or approved by Frost & Sullivan.
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Leave & Time Off Breadth — Paid time off, sick leave, holidays, bereavement, and family leave are available and often regarded as solid parts of the package. These options help support reasonable work-life balance in many roles.
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Flexible Benefits — Flexible or remote work arrangements and certain allowances are present in various locations and teams. This flexibility can improve day-to-day experience even when other elements feel less competitive.
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Wellbeing & Lifestyle Benefits — Perks such as paid gym memberships appear in some regions alongside standard insurance offerings. These additions provide incremental value beyond core pay.
Frost & Sullivan Insights
What We Do
For the past 60 years, Frost & Sullivan has partnered with corporations, cities, governments, and investor communities to identify, prioritize, and execute business opportunities that power clients toward a future shaped by growth.
