Head of Product – Data

JR United Kingdom; Bolton; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading company in digital transformation seeks a Head of Product for Data Solutions to define the strategy for groundbreaking AI-driven tools. This role involves overseeing product vision, cross-functional leadership, and driving revenue through data monetisation in a fast-paced environment.

Qualifications

• 10+ years in Product Leadership, with 5+ years in data products or AI/ML.
• Proven track record scaling data solutions to enterprise-grade.
• Deep technical expertise in cloud-native architectures and Salesforce.

Responsibilities

• Own the end-to-end strategy for data products and Decision Engine.
• Lead a team of Product Managers and collaborate cross-functionally.
• Drive revenue through data monetisation and identify partnerships.

Skills

Product Leadership

Data Products

Salesforce Integrations

AI/ML Platforms

Cloud-native Architectures

Commercial Mindset

Fluency in German

Fluency in French

Fluency in Spanish

Education

MBA or advanced degree in Data Science

Tools

AWS

Azure

Snowflake

Databricks

Kafka

AWS Kinesis

Job description

Reports to:

Product Director

Our client is leading the digital transformation of their industry, empowering customers with cutting-edge tools that redefine how stock is managed, traded, and optimised. Their pan-European programme includes a groundbreaking Decision Engine, an AI-driven platform that turns complex data into actionable insights, enabling smarter decisions across inventory, pricing, and supply chains.

Scope of Role:

As Head of Product for Data Solutions, you’ll own the end-to-end strategy for our data products, Salesforce integrations, and the Decision Engine. You’ll bridge technical innovation with business impact, ensuring the platform becomes the central nervous system for commerce – ingesting, analysing, and acting on data to deliver right product, right price, right channel, right buyer. This role demands equal parts technical depth, commercial acumen, and leadership excellence to scale solutions across Europe.

Key Responsibilities:

• Define and evangelise the product vision for Data Solutions, including:
• Decision Engine: AI/ML-driven automation for pricing, stock, and channel optimisation.
• Salesforce Ecosystem: Unified CRM, billing, and compliance workflows.
• Data Products: Monetisable APIs, analytics suites, and third-party data partnerships.
• Align roadmaps with our pan-European growth goals and client needs.
• Data Platform: Oversee the architecture of our data lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis).
• Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ.
• Decision Engine: Prioritise AI/ML use cases (e.g., dynamic pricing, desirability scoring) and ensure ethical, bias-free automation.

Cross-Functional Leadership:

• Lead a team of Product Managers (Data, Salesforce, Decision Engine) and collaborate with:
• Data Science & Engineering: Scale MLOps, model governance, and data quality.
• Commercial Teams: Develop pricing models for data-as-a-service (DaaS) offerings.
• Legal & Compliance: Embed GDPR, PSD2, and AI ethics into product design.

Drive revenue through data monetisation.

Identify partnerships with third-party data providers (e.g., economic indicators, weather APIs).

Champion R&D into emerging tech (GenAI, graph analytics, federated learning).

Stakeholder Alignment:

• Partner with C-suite to secure buy-in for data-driven initiatives.
• Engage clients in co-creation workshops to validate priorities.
• Represent us at industry events as a thought leader in data innovation.

Skills, Knowledge, and Experience:

• 10+ years in Product Leadership, with 5+ years focused on data products, Salesforce ecosystems, or AI/ML platforms (B2B, fintech, or marketplaces).
• Proven track record scaling data solutions from MVP to enterprise-grade adoption.
• Deep technical expertise:
• Data Platforms: Cloud-native architectures (AWS/Azure), data mesh/fabric.
• Salesforce: Financial Services Cloud, CRM integrations, CPQ.
• Strong commercial mindset: Experience monetising data or SaaS products.
• MBA or advanced degree in Data Science, Computer Science, or related field.
• Experience in automotive supply chain, wholesale auctions, or residual value management.
• Fluency in German, French, or Spanish.