Senior Product Manager – Data, Analytics & AI

Swap; City Of London; Vor Ort; GBP 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Competitive base salary

Stock options

Private health insurance

Pension

Zusammenfassung

A fast-growing tech startup in the UK is seeking a Senior Product Manager to lead its AI, Analytics & Data domain. The role involves setting strategies for data products, mentoring teams, and ensuring data clarity for business decisions. Ideal candidates will have over 8 years of experience in product management, particularly with data and analytics, and a track record of building AI-driven products. Benefits include competitive salary, stock options, and private health insurance.

Qualifikationen

• 8+ years of product management experience, particularly in data/analytics.
• Proven track record of managing technical teams and scaling data-driven products.
• Strong understanding of AI and machine learning product methodologies.

Aufgaben

• Set strategy for AI, analytics, and data.
• Partner with data engineering to scale pipelines and data models.
• Build products embedding predictive analytics and recommendations.

Kenntnisse

Product management

Data analytics

AI/ML product development

Technical team management

Strong communication

Tools

BI/visualisation tools

Data warehousing

Real-time eventing

Jobbeschreibung

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 its importance in data storytelling.

Benefits

• Competitive base salary
• Stock options in a high-growth startup
• Private health insurance
• Pension