Reimagine access. Reimagine ownership. Build the future with Cinch.
About Cinch
Cinch is building Asia's largest Device-as-a-Service (DaaS) platform-offering flexible, affordable, and sustainable consumer electronics subscriptions. Our platform sits at the intersection of embedded finance, technology infrastructure, and asset-lifecycle management, deployed through Telcos, OEMs, retail, e-commerce, and reseller channels.
We're a fast-growing fintech backed by a leadership team with backgrounds spanning Actis, Visa, INSEAD, Zip, Palantir, and Gartner. We operate across B2C, B2B, B2B2C, and B2B2B channels with an ambitious roadmap to become the category leader in APAC.
The Role
Data is the connective tissue across everything Cinch does-credit decisioning, fraud detection, pricing, asset intelligence, personalization, and growth. As VP of Data, you'll own the entire data function and transform it into an AI-native organization that powers our regional expansion.
This isn't a traditional analytics leadership role. We're looking for someone who lives at the intersection of data infrastructure and applied AI-someone who can architect agentic workflows, build personalization engines, and turn raw behavioral signals into commercial outcomes. You should be the kind of leader who prototypes before asking your team to build.
What You Will Do
- Data Ingestion & Customer Intelligence - Expand data capture across our mobile app, web app, and partner channels. Build a unified customer data platform and develop psychographic profiling that goes beyond demographics-segmenting by technology attitudes, financial behavior, and lifestyle preferences.
- Personalization & Recommendations - Build real-time recommendation engines for device suggestions, plan optimization, upgrade timing, and embedded service attach. Enable hyper-personalized lifecycle triggers across all customer touchpoints.
- AI & Agentic Workflows - Design and deploy agentic AI workflows that automate complex business processes-from intelligent lead qualification to AI-driven collections triage. Build an internal AI platform that lets non-technical teams deploy lightweight agents. Establish AI governance with appropriate safeguards.
- Data Architecture - Own the enterprise data strategy and evolve our current stack-MySQL data warehousing, Estuary real-time CDC pipelines, SQL Mesh transformation layer, and Looker Studio / Superset BI-into a platform-grade data ecosystem that scales with the business.
- Analytics & BI - Build a self-serve analytics culture with executive dashboards covering unit economics, margin waterfall, channel performance, and portfolio health.
- Data Science & ML - Partner with Risk to enhance credit scoring and fraud models. Build predictive capabilities for LTV, churn, asset residual values, and demand planning. Stand up experimentation infrastructure for rigorous A/B testing.
- Vendor & Partner Management - Own external data vendor relationships (credit bureaus, device pricing APIs, telco data partnerships) and cloud platform strategy. Make disciplined build-vs-buy decisions with clear ROI accountability.
- Team Building - Scale the data team across engineering, analytics, science, and AI. Foster data literacy and AI fluency organization-wide.
What We're Looking For
- 12+ years in data leadership with experience managing multi-disciplinary teams across analytics, engineering, and data science.
- Hands-on AI proficiency-you've personally architected and shipped production AI systems: LLM orchestration, agentic frameworks, RAG pipelines, or similar. This is essential.
- Strong experience with our kind of stack: MySQL or PostgreSQL at scale, real-time CDC / streaming pipelines (Estuary, Kafka, or equivalent), SQL-based transformation layers (SQL Mesh, dbt), and BI platforms (Looker Studio, Superset, Tableau). Our infrastructure runs on AWS with Python and Go as primary languages.
- Track record building personalization systems, recommendation engines, or customer intelligence platforms that drove measurable commercial impact.
- Experience in fintech, lending, subscription commerce, or embedded finance-credit risk data platform experience is a strong plus.
- Multi-market experience, ideally in Asia. Familiarity with regional data regulations and cross-border data considerations.
- Commercial acumen-you connect data and AI investments to business outcomes: margin expansion, conversion uplift, loss reduction, operational efficiency.
- Experience managing external vendor relationships for data infrastructure and partnerships.
- Bachelor's or Master's in Computer Science, Statistics, Data Science, or a quantitative field.
Nice To Have
- Experience in DaaS, device leasing, or asset-lifecycle analytics (residual values, depreciation, refurbishment).
- Background in psychographic modeling or CDP architecture.
- Experience deploying multi-agent AI systems or agentic process automation in production (we use n8n for workflow orchestration).
- Familiarity with workflow automation platforms and building AI agent registries across an organization.
- Prior experience scaling data organizations through Series A-C growth stages.
Why Cinch
- Greenfield AI mandate-build the data and AI layer for an entire platform from scratch, with executive sponsorship.
- A uniquely data-rich environment: credit risk, asset lifecycle, subscription economics, consumer behavior, and mobile/web engagement signals all in one place.
- Senior leadership role with direct influence on company strategy.
- Competitive compensation with base, variable pay, performance bonus, and equity.
- Hybrid working from Singapore HQ with regional travel.
