Head of Product – Data

JR United Kingdom; Manchester; On-site; GBP 90,000 - 130,000; Full time

Job summary

A leading company is seeking a Head of Product for Data Solutions to drive the strategic vision and oversee the development of innovative data products. This role involves collaborating with cross-functional teams, engaging in product vision development, and ensuring a strong focus on data monetisation and integration with Salesforce. Candidates should have significant leadership experience and technical expertise in AI/ML platforms.

Qualifications

• 10+ years in Product Leadership, particularly in data and AI/ML.
• Proven experience scaling data solutions from MVP to enterprise-grade.
• Fluency in German, French, or Spanish is a plus.

Responsibilities

• Own the end-to-end strategy for data products, Salesforce integrations, and AI platforms.
• Lead a team of Product Managers and drive revenue through data monetisation.
• Partner with C-suite and engage clients for data-driven initiatives.

Skills

Product Leadership

Data Solutions

Salesforce Ecosystems

AI/ML Platforms

Commercial Mindset

Data Platforms

Cloud-native Architectures

Data Monetisation

Stakeholder Engagement

Language Fluency: German/French/Spanish

Education

MBA or advanced degree in Data Science

Computer Science or related field

Job description

Social network you want to login/join with:

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:

1. 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.

3. 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).

5. 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.