Deskripsi pekerjaan Engineering Manager (IT) Talentport
Executive Search: Chief Technology Officer (CTO) – AI Fintech
Job Summary:
We are looking for a visionary and execution-driven Chief Technology Officer (CTO) to lead our technology, engineering, and AI/ML organizations. As a key member of the executive leadership team, you will own the multi-year technology roadmap, scale our high-velocity engineering culture, and drive our core AI-first product vision. The ideal candidate has a deep background in scaling multi-tenant SaaS/Fintech platforms and a proven track record of deploying robust AI/ML models into production within a highly regulated financial environment.
Key Responsibilities:
1. Technology Strategy & Vision
- Define, own, and execute the company’s multi-year technology roadmap aligned with aggressive business growth and market opportunities.
- Evaluate and champion emerging technologies—specifically cloud-native architectures, advanced AI/ML, and next-gen fintech infrastructure.
- Act as the technical voice in the boardroom, effectively communicating complex architectural and technology decisions to investors, board members, and executive peers.
- Build strategic partnerships with cloud providers, AI model vendors, and vital fintech infrastructure players (Open Banking APIs, core banking, and payment rails).
2. AI Product & Platform Leadership
- Oversee the end-to-end delivery of AI-powered fintech features, including intelligent underwriting, fraud detection, conversational banking, and agentic workflows.
- Drive the foundational AI strategy: making critical "build vs. buy vs. fine-tune" decisions across LLMs, ML models, and data pipelines.
- Establish responsible and ethical AI practices, ensuring fairness, explainability, and auditability in accordance with regulatory mandates.
3. Product Engineering & Data Strategy
- Lead the engineering teams building multi-tenant fintech platforms, ensuring extreme scalability, reliability, and security at scale.
- Own foundational product architecture decisions (microservices vs. modular monolith, API-first design, event-driven systems).
- Partner closely with the CPO/Product team to seamlessly translate product strategy into robust engineering execution.
- Own the data platform architecture (data warehouse, data lake, streaming pipelines, feature stores) ensuring strict data governance and lineage.
4. Organization, Infrastructure & Compliance
- Recruit, develop, and retain a world-class engineering and data science team (Full-stack, Platform, AI/ML, DevOps, and Security).
- Enforce security-by-design principles (identity management, encryption, access control) across all systems.
- Ensure absolute compliance with regional financial regulations and data privacy frameworks (e.g., OJK in Indonesia, PCI-DSS, ISO 27001, SOC 2).
Required Qualifications:
- 10+ years of total experience in software engineering or technology roles, with at least 5+ years in senior engineering leadership (CTO, VP of Engineering, or Head of Engineering).
- Fintech Domain Expertise: Hands-on background in at least one core fintech domain (Lending, Payments, Wealth Management, Insurance, or BaaS).
- AI/ML Track Record: Proven experience shipping and scaling AI/ML-powered products live in production.
- SaaS Architecture: Deep understanding of multi-tenancy, API platforms, subscription billing, and B2B product development.
- Language: Fluent in English (professional board-level communication).
