Data Product Designer

📍 Job Overview

Job Title: Data Product Designer

Company: Three UK

Location: Newbury, England, United Kingdom

Job Type: Full-time

Category: Data & Analytics / Technology Operations

Date Posted: 2026-05-26

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Hybrid

🚀 Role Summary

• This role is pivotal in designing the data-layer architecture for the Unified Data Platform (UDP), focusing on creating user-centric, self-serve data products.

• You will be responsible for defining and maintaining a comprehensive metrics catalogue, ensuring consistency and alignment with business objectives across the organization.

• The position requires close collaboration with Data Engineering and business stakeholders to translate complex requirements into actionable data solutions that drive business value.

• Success in this role hinges on a deep understanding of data modeling, data product lifecycle management, and the ability to champion best practices in data architecture and design.

📝 Enhancement Note: The "Data Product Designer" title, combined with responsibilities like "own the business data layer design" and "translate business requirements into actionable designs," strongly suggests a role focused on the strategic and architectural aspects of data consumption and enablement, fitting within a broader Data Operations or GTM Operations framework where data accessibility is key to business success. The emphasis on the "Unified Data Platform" indicates a central role in managing the organization's core data assets for analytical and operational purposes.

📈 Primary Responsibilities

• Own and architect the business data layer design for the Unified Data Platform (UDP), ensuring it is robust, scalable, and aligned with strategic business goals.

• Design and develop intuitive data products that empower business users with self-service capabilities, optimizing data accessibility and usability.

• Develop, manage, and maintain the comprehensive metrics catalogue, including detailed definitions, business context, and ownership, ensuring a single source of truth for key performance indicators (KPIs).

• Collaborate with Data Engineering teams to ensure consistent implementation and application of defined metrics across the UDP, establishing a reliable metrics layer.

• Contribute to the strategic vision for the UDP, identifying opportunities for improvement and ensuring tactical solutions are considered for future remediation and integration.

• Cultivate and maintain a deep understanding of the UDP's capabilities, data sources, and functionalities to effectively guide design decisions and support business users.

• Proactively stay abreast of industry trends, emerging technologies, and best practices in data product design, data modeling, and data governance to inform and enhance design strategies.

• Ensure all data products are designed with a focus on scalability, reliability, and performance, anticipating future growth and evolving business needs.

• Facilitate workshops and discussions with business stakeholders to gather requirements, validate designs, and ensure alignment on data product specifications.

• Document data product designs, metrics definitions, and architectural decisions clearly and comprehensively for knowledge sharing and future reference.

📝 Enhancement Note: The responsibilities emphasize ownership and strategic contribution to the data platform, indicating a mid-to-senior level role. The focus on "self-serve solutions" and a "metrics catalogue" points towards enabling business users and standardizing reporting, which are core functions within GTM and Sales Operations enablement.

🎓 Skills & Qualifications

Education:

Experience:

• 5-10 years of progressive experience in data product design, data architecture, or a related data-focused role, with a proven track record of delivering impactful data solutions.

• Demonstrated experience in translating complex business requirements into well-defined data models and product specifications.

Required Skills:

• Proven expertise in Data Product Design: Ability to conceptualize, design, and articulate data products that meet user needs and business objectives.

• Strong Data Architecture & Data Modeling Skills: Deep understanding of relational and dimensional modeling techniques (e.g., Star Schema, Snowflake Schema), data warehousing concepts, and best practices.

• Proficiency in Metrics Catalogue Management: Experience in defining, documenting, and governing business metrics, KPIs, and dimensions to ensure data consistency and accuracy.

• Excellent Communication & Stakeholder Management: Demonstrated ability to effectively communicate technical concepts to non-technical audiences, influence decisions, and manage expectations with diverse stakeholders.

• Advanced Analytical & Problem-Solving Skills: Capability to assess complex data landscapes, identify root causes of issues, and develop innovative, data-driven solutions.

• Cross-functional Collaboration: Proven ability to work effectively with Data Engineering, Business Intelligence, Analytics teams, and various business units.

• Understanding of Data Governance Principles: Familiarity with data quality, data lineage, and data security best practices.

Preferred Skills:

• Experience with Unified Data Platforms (UDP) or similar data integration and management systems.

• Familiarity with data visualization tools (e.g., Tableau, Power BI) and their data requirements.

• Knowledge of SQL for data analysis and validation.

• Experience with cloud data platforms (e.g., AWS, Azure, GCP).

• Understanding of agile methodologies and product management frameworks.

• Familiarity with telecommunications industry data and business models.

📝 Enhancement Note: The "5-10 years" experience aligns with a mid-to-senior level, suggesting the candidate will be expected to lead design initiatives. The emphasis on "self-serve solutions" and "metrics catalogue" is crucial for Sales and GTM Operations, as these directly impact reporting and decision-making capabilities for revenue-generating teams.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Data Product Design Case Studies: Showcase a minimum of 2-3 detailed case studies demonstrating your process for designing data products, including problem definition, user needs assessment, architectural design, data modeling, and outcome.

• Metrics Catalogue Samples: Provide examples of a well-structured metrics catalogue, illustrating how you define metrics, capture business logic, and ensure consistency. This should highlight your approach to governance and alignment.

• Data Modeling Examples: Include diagrams or descriptions of data models you have designed for analytical purposes, clearly explaining the schema choices and their rationale for supporting business insights.

• Process Optimization Examples: Demonstrate instances where your data product designs led to measurable improvements in data accessibility, efficiency, or business decision-making. Quantify impact where possible (e.g., reduced query times, increased data adoption).

Process Documentation:

• Workflow Design & Optimization: Detail your methodology for mapping current data access workflows and designing optimized, user-friendly data product interfaces and access layers.

• System Implementation Standards: Outline your approach to collaborating with Data Engineering for the implementation of data products, ensuring adherence to design specifications, performance standards, and data governance policies.

• Measurement & Performance Analysis: Explain how you track the adoption, usage, and impact of the data products you design, and how you use this data to iterate and improve.

📝 Enhancement Note: For a Data Product Designer role, a portfolio is critical. Given the emphasis on "self-serve solutions" and a "metrics catalogue," candidates should prepare examples that highlight their ability to translate business needs into accessible data assets. Quantifiable improvements in data access speed or reporting accuracy would be highly valued.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Competitive Pay: A strong base salary reflecting your skills and experience.

• Performance Bonuses: Opportunities to earn bonuses tied to individual and company performance.

• Generous Paid Time Off: Up to 28 days of annual leave plus bank holidays, allowing for excellent work-life balance.

• Paid Time for Charity Work: Encouragement and support for contributing to the community.

• Personalised Benefits Package: Flexibility to choose benefits that best suit your needs and lifestyle.

• Discounts and Vouchers: Access to various discounts and voucher schemes.

• Comprehensive Pension Plan: A robust pension scheme to support your long-term financial security.

• Exceptional Learning Tools: Access to extensive learning resources, training programs, and development opportunities to advance your career.

• Industry-Leading Parental Leave Policies: Generous policies to support new parents.

• Hybrid Working Flexibility: The ability to work from home and the office, fostering flexibility and work-life integration.

Working Hours:

• Full-time, 37.5 hours per week, typically Monday to Friday. The hybrid working model offers flexibility, with employees expected to be in the office 2-3 days per week, to be agreed with their line manager.

📝 Enhancement Note: The salary range is an estimate based on typical market rates for this role and location in the UK. Actual compensation will be determined by the candidate's specific experience, qualifications, and the company's internal grading system. The benefits listed are directly drawn from the job description, highlighting a strong employee value proposition.

🎯 Team & Company Context

🏢 Company Culture

Industry: Telecommunications. Three UK is a major player in the UK mobile network operator market, investing heavily in 5G and digital infrastructure.

Company Size: Large enterprise (part of a global entity, with significant operations in the UK). This scale means opportunities for impact and exposure to complex, large-scale data initiatives.

Founded: Three UK was launched in 2003. The company is a joint