Senior Product Owner (Data / AI)
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (28.0%).
Occupation Type
Production managers and directors in manufacturing
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£55,000
(£28.21 per hour)
Occupation rate applies
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Description
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
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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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