Data Product Manager – GTM Data & Intelligence

Data Product Manager – GTM Data & Intelligence

9-Month Contract | Fully Remote – UK | Up to £400 per day

We are looking for an experienced Data Product Manager to join a global SaaS organisation on an initial 9-month contract, working within its Go-to-Market Data & Intelligence function.

This role sits at the intersection of business strategy, data, analytics and engineering , taking strategic business priorities and turning them into scalable, trusted and actionable data products.

You’ll need strong Product Management fundamentals alongside experience working with data and analytics products within a SaaS environment . The strongest candidates will have experience across Customer Data, Business Intelligence, Data Governance or Data Science products.

Key Responsibilities

• Translate strategic business objectives into clear product strategies, roadmaps, epics, releases and executable plans .
• Lead product discovery with business stakeholders and technical teams to understand requirements, use cases and desired outcomes.
• Own prioritisation based on business value, strategic fit, technical feasibility, dependencies and implementation effort.
• Work closely with Data Engineers, Analysts, Data Scientists, BI teams, Engineering Managers and Data Governance specialists.
• Manage product backlogs, requirements, dependencies, risks, acceptance criteria and release readiness.
• Ensure data products remain aligned with both customer requirements and wider commercial objectives.
• Build alignment across multiple senior stakeholders, clearly communicating priorities, decisions, trade-offs and progress.
• Establish success measures and feedback loops to improve product adoption, quality, scalability and business impact.
• Identify opportunities for standardisation, automation and reusable data capabilities rather than one-off solutions.

Data Product Experience

We are particularly interested in candidates with strong experience in one or more of the following:

Customer Data & Governance

• Customer Data Governance, MDM or Customer 360.
• Customer identity, entity resolution and account hierarchies.
• Match/merge, deduplication and data reconciliation.
• Third-party data ingestion and enrichment.
• Data quality, governance, controls and exception management.

Business Intelligence & Customer Intelligence

• Enterprise analytics and BI products.
• Data warehouses, lakehouses or analytical data platforms.
• Governed datasets, shared metrics and semantic consistency.
• Data pipelines, APIs and data enrichment.
• Dashboard consolidation, migration or rationalisation.
• Embedded analytics and intelligence within enterprise applications.

Data Science Products

• Predictive analytics and machine-learning products.
• Propensity, retention, expansion, recommendation or scoring models.
• Model explainability and actionable insights.
• Experimentation and hypothesis-driven product development.
• Operationalising data science models within business workflows.

Essential Experience

• Strong experience as a Data Product Manager, Technical Product Manager or Product Manager working with complex data products.
• Previous experience working within a SaaS / software environment .
• Excellent strategic planning and product roadmapping capability.
• Strong stakeholder management , including working across senior business and technical stakeholders.
• Experience across analytics and/or data science products , ideally including Customer Data Governance, BI or Data Science Product Management.
• Proven ability to take ambiguous business problems and translate them into clear product requirements and executable plans.
• Strong experience with product discovery, prioritisation and requirements definition.
• Experience managing epics, releases, backlogs, dependencies and acceptance criteria within Agile environments.
• Strong understanding of modern data concepts including data models, pipelines, APIs, data quality and governance.
• Experience partnering directly with engineering and technical delivery teams.

Desirable Experience

• Customer Data Governance / MDM / Customer 360.
• Enterprise Business Intelligence or analytics products.
• Data Science, machine learning, recommendation or scoring products.
• CRM and GTM platforms such as Salesforce.
• Third-party data and data enrichment.
• Experience operating within a complex, global SaaS organisation.

Top 3 Must-Haves

1. Strategic Planning – able to turn ambiguous commercial objectives into clear product strategies, roadmaps and priorities.

2. Stakeholder Management – confident managing senior business and technical stakeholders and driving decisions across multiple teams.

3. Data & Analytics Product Experience – strong experience across Customer Data Governance, Business Intelligence and/or Data Science Product Management.

If you are interested please apply or send your CV to [email protected]