Senior Product Owner (Data / AI)

About Incard

Incard’s mission is to build the financial operating system for entrepreneurs.

We are focused on creating a system where business banking, financial tools, and application logic are coordinated into a single control layer.

Through the app store, entrepreneurs and developers can build industry-specific functionality as their business evolves.

Who We’re Looking For

We’re looking for a Senior Product Owner (Data / AI) who operates like a mini-CEO for our intelligence layer.

You’ll own data-driven product domains such as analytics, forecasting, benchmarking, anomaly detection, recommendations, and AI-powered financial insights. You’ll work at the intersection of data science, analytics, AI, and product, partnering closely with Analytics, AI, Backend, and Product teams.

This role is ideal for someone with a data science or analytics background who wants to turn models, metrics, and signals into clear, actionable product experiences for business users.

What You’ll Do

Own a Data & AI Product Vertical End-to-End

Act as the founder of your data/AI domain

Own vision, scope, quality, and outcomes with minimal supervision

Translate complex data capabilities into real product value

Data & AI Product Strategy

Define product use cases for analytics, forecasting, and AI-driven insights

Partner with data scientists to shape models, assumptions, and outputs

Decide what to build vs what to infer, predict, or automate

Define success metrics focused on accuracy, usefulness, and adoption

Working with Analytics & AI Teams

Collaborate closely with Analytics and AI teams on data pipelines, models, and features

Turn raw data, signals, and predictions into user-facing insights and workflows

Ensure explainability, trust, and clarity in AI-powered outputs

Balance precision with usability — perfect models that users don’t understand are not success

Execution & Delivery

Write clear product requirements, specs, and acceptance criteria for data & AI features

Break down complex initiatives into deliverable milestones

Support engineers and data scientists with fast decisions and prioritisation

Manage iterations after launch based on usage, feedback, and performance

Quality, Ethics & Reliability

Own validation of data quality, assumptions, and edge cases

Ensure robustness around missing data, anomalies, and model failure modes

Work closely with compliance and risk teams on AI governance and explainability

Ensure responsible use of AI in regulated financial contexts

Cross-Functional Ownership

Collaborate with frontend, mobile, backend, and customer-facing teams

Align data products with business, regulatory, and operational needs

Create clear internal documentation for models, metrics, and decision logic

Support hiring and help shape your future data/AI squad

What We’re Looking For

4–7+ years of experience in Data Product, Analytics Product, or Data Science–led product roles

Strong background in data science, analytics, or applied machine learning

Experience turning data and models into real product features

Strong understanding of metrics, experimentation, forecasting, and data pipelines

Ability to write clear, structured specs for data and AI-driven systems

Comfortable working with ambiguity, probabilistic outcomes, and imperfect data

Highly organised, analytical, and outcome-focused

Strong communication skills — able to explain complex concepts simply

Nice to Have

Experience in fintech, payments, or financial analytics

Experience with forecasting, anomaly detection, or recommendation systems

Familiarity with BI tools, experimentation frameworks, or ML platforms

Experience working on AI assistants, copilots, or decision-support tools

Mindset We Look For

Mini-CEO mentality — you own intelligence outcomes, not just models

Data-first thinking with strong product judgement

Obsession with clarity, trust, and real-world usefulness

Comfortable making decisions with incomplete or noisy data

Low-ego, highly collaborative partner to engineers and data scientists

Startup DNA — fast iteration, ownership, no bureaucracy

Benefits:

Competitive cash-based compensation

Incard stock options

25 days of paid time off per year, plus bank holidays and your birthday off

Global health insurance and unlimited paid sick leave