CPL
Data Product Manager – GTM Data & Intelligence
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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.
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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.
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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
- Strategic Planning – able to turn ambiguous commercial objectives into clear product strategies, roadmaps and priorities.
- Stakeholder Management – confident managing senior business and technical stakeholders and driving decisions across multiple teams.
- 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 luke.sandilands@cpl.com
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