London
9 months ago

Job Overview

Job Type
FullTime
Pay
Not disclosed

Job description

Location:
London, United Kingdom
Work arrangement:
On-site

Role Summary

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

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

Responsibilities

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

Requirements

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.
  • 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

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

About the Company

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.

Role:
Senior Product Owner (Data / AI)
Job Type:
FullTime

Company profile

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