About this Senior Data Product Manager role at Emma Sleep
At Emma, you’ll be part of an empowered data product team that develops, operates, and continuously improves our data infrastructure, and analytics capabilities to drive business impact. As the owner of our marketing data products, you'll sit at the intersection of Technology and Marketing teams to ensure they have the data capabilities they need to acquire customers, retain them, and measure what matters.
You will collaborate within a multidisciplinary environment that includes data engineers, analytics engineers, data scientists, analysts, and business stakeholders, ensuring our marketing data products deliver meaningful value and move the organisation's strategy forward.
What you'll do:
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As a Senior Data Product Manager, you will define and execute the vision for our marketing data products, ensuring they support strategic business objectives across the organization.
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You’ll lead the end-to-end lifecycle of marketing data products (marketing performance reporting, BI dashboards, integration of new sources), from discovery to delivery, ensuring scalability, usability, and long-term value for marketing teams.
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Gather and distil requirements from marketing stakeholders, translating them into a clear vision and strategy into well-defined, prioritised solutions.
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Work with partners to maintain and refine the product roadmap, ensuring backlog prioritisation reflects business priorities, user needs, and technical considerations.
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Proactively identify and evaluate opportunities where better data can unlock marketing performance.
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You’ll serve as the primary point of contact for marketing stakeholders, managing expectations, providing transparency into the roadmap, and ensuring alignment on objectives and outcomes.
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You’ll drive the product discovery process, identifying the right problems to solve (the WHAT and WHY) and collaborate with engineering, analytics, and business teams on solutions (the HOW).
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You’ll maintain a well-prioritized roadmap with clear milestones, delivering high-impact data features and capabilities to marketing teams.
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Continuously improve your data products by embracing iterative delivery, collecting feedback, measuring performance, and refining both roadmap and features
What we're looking for:
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Proven experience: 5+ years of experience in data product management or a similar product role, with direct exposure to marketing data domains, example: attribution, campaign analytics, CRM data, or paid media performance reporting.
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Product discovery mindset: Strong background in gathering and distilling requirements from users, validating hypotheses, and translating ambiguous needs into clear product definitions.
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Technical fluency: Ability to translate business requirements into technical specifications and collaborate closely with data engineers and analysts. You understand key data warehouse concepts, can query datasets to uncover insights, and are familiar with BI/reporting tools such as Tableau. Familiarity with marketing technology (CDPs, ad platforms, CRM systems, measurement tools) is a strong advantage.
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Data-driven decision-making: Expertise in leveraging qualitative and quantitative data to inform priorities and measure success.
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Outstanding communication: Ability to simplify complex data concepts for technical and non-technical stakeholders alike.
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Data strategy expertise: Understanding of data infrastructure, analytics, governance, and how to build data products that drive business value.
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Collaboration: Demonstrated experience coordinating cross-functional teams, influencing without authority, and driving alignment across business, engineering, analytics engineering and analytics teams.
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Adaptability: Thrive in highly dynamic, uncertain, and fast-paced environments, embracing agility and change.
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Entrepreneurial mindset: Driven by impact and outcomes rather than outputs. You proactively identify new opportunities, challenge assumptions, and help shape the evolution of our data capabilities.
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Language proficiency: Professional-level Business English is required.
