Senior Product Manager - Data, Analytics & AI

Swap; Greater London; On-site; GBP 85,000 - 110,000; Full time

Job summary

A forward-thinking global commerce platform in Greater London seeks a Senior Product Manager to lead AI, analytics, and data strategies. The role demands over 8 years of product management experience, emphasizing data-driven solutions and technical team management. The successful candidate will build merchant-facing analytics and AI-enabled products, partnering closely with data engineering teams to enhance decision-making processes. This position offers stock options and private health insurance as part of an attractive benefits package.

Benefits

Stock options

Private health insurance

Pension

Qualifications

• 8+ years of product management experience, with a focus on data/analytics.
• Proven track record managing technical teams and shipping data-driven products.
• Experience building AI or ML-enabled products.
• Deep knowledge of modern data stacks including BI/visualization tools.
• Strong understanding of UX in data storytelling.

Responsibilities

• Set the strategy and roadmap for AI, analytics, and data.
• Partner with data engineering leads to scale data pipelines.
• Build merchant-facing products embedding predictive analytics.
• Lead and mentor cross-functional teams across data and analytics.
• Own success metrics related to data adoption and profitability.

Skills

Product management experience

Data analytics products

Technical team management

AI product development

Modern data stacks

Strong commercial acumen

Exceptional communication

UX understanding

Job description

London

About the Role

We’re building the future of global commerce. Seamless, profitable, and intelligent. Our platform helps fashion and lifestyle brands sell across borders without friction—from tax, duties, and shipping to pricing, returns, and business insights.

We’re looking for a Senior Product Manager to own our AI, Analytics & Data domain.This role spans both:

• Data Engineering – building the data foundation, pipelines, and agent-readable infrastructure that power Swap’s platform.
• Merchant-facing Analytics – turning data into insights, dashboards, and AI-driven agents that help brands make faster, smarter decisions.

This is not just about reporting; it’s about building the data advantage that powers agentic commerce. You’ll define how Swap captures, structures, and transforms data into decision-ready actions, enabling merchants to grow globally with clarity and confidence.

What you'll do

• Set the strategy & roadmap for AI, analytics, and data, balancing merchant-facing impact with foundational investments in data infrastructure.
• Partner with data engineering leads to scale our pipelines, warehouses, and AI-ready data models.
• Build merchant-facing products that go beyond dashboards—embedding predictive analytics, benchmarking, and AI-powered recommendations into everyday workflows.
• Translate complexity into clarity, ensuring data is accurate, reliable, and actionable for merchants and agents.
• Lead & mentor cross-functional teams across data engineering and analytics, driving alignment on vision and execution.
• Embed AI deeply into Swap’s data products, ensuring agents can analyse, predict, and automate based on trusted signals.
• Own success metrics such as data adoption, forecast accuracy, profitability insights, and AI-driven action rates.

What we're looking for

• 8+ years of product management experience, with a strong focus on data/analytics products.
• Proven track record of managing technical teams (data engineering, analytics, BI) and shipping data-driven products at scale.
• Experience building AI or ML-enabled products, with a clear understanding of how data powers predictive and agentic workflows.
• Deep knowledge of modern data stacks (warehousing, pipelines, real-time eventing, BI/visualisation tools).
• Strong commercial acumen—able to connect data investment directly to merchant and business value.
• Exceptional communicator; comfortable operating at the intersection of engineering, design, GTM, and exec leadership.
• A bias for action and clarity—always pushing data from raw > insight > decision > automation.
• Strong understanding of UX and it’s importance in data storytelling
• Stock options in a high-growth startup
• Private Health insurance
• Pension

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