Engagement Manager: Growth & AI Workflow Lead (Singapore)

Nodi; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary + equity

Performance-based incentives

Expansion impact opportunities

Supportive and innovative work env

Job summary

Model ML is seeking an Engagement Manager to own end-to-end client outcomes by translating complex problems into scalable AI workflows and driving adoption with clear governance. You will manage a delivery cadence, surface risks early, and partner with Growth, Engineering, and Product to turn ROI into action.

This role requires credibility with data teams, strong communication, and the ability to travel regionally as needed in a fast-paced fintech environment.

Qualifications

• 5+ years experience in private equity, investment banking, or tier 1 consultancies.
• Ability to turn ambiguous client asks into scoped delivery plans with measurable outcomes.
• Strong technical fluency: reason about workflows, data, and failure modes without requiring engineering expertise.
• Excellent operational hygiene with reliable tracking, documentation, and governance.
• Clear, proactive communicator who escalates early and closes loops.

Responsibilities

• Own end-to-end client outcomes by translating problems into scalable Model ML workflows.
• Run clean operating cadence, manage a delivery plan with owners and dates, surface risks early.
• Maintain dashboards, hubs and Notion pages; track usage, adoption, and health metrics.
• Govern client relationships to drive ROI, trial-conversion-renewal in partnership with Growth and Product.

Skills

Client problem translation

Delivery planning

Data fluency

Operational hygiene

Clear communication

Autonomous working

Travel readiness

Tools

Notion

CRM

Data workflows

Job description

Model ML is seeking an Engagement Manager to own end-to-end client outcomes by translating complex problems into scalable AI workflows and driving adoption with clear governance. You will manage a delivery cadence, surface risks early, and partner with Growth, Engineering, and Product to turn ROI into action.

This role requires credibility with data teams, strong communication, and the ability to travel regionally as needed in a fast-paced fintech environment.