Senior Tech Product Manager - Data

Company Description

We’re ASOS, the online retailer for fashion lovers all around the world. 

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. 

But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.  

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. 

Job Description

The Senior Data Product Manager is one of the two core leadership roles in ASOS’s new Tech & Digital Product Operating Model, working together with the Engineering Lead to drive product success. This role focuses on understanding business and customer needs, defining product vision and ensuring the delivery of data and software products that align with strategic business goals.

Product Managers are responsible for defining the why and what behind product development, while their engineering counterparts focus on the how and when. Together, they ensure the team delivers valuable, high-quality solutions that meet both business and customer needs. Data Product Managers typically work with a cross-functional team and work closely with key stakeholders, including engineers, product development teams and other business leaders, to define data product requirements and set priorities. They focus on solving the right problems with innovative solutions that evolve our data platform and build data products that deliver business value.

As a Senior Data Product Manager for Platform Foundations, you will define the vision, strategy and roadmap for ASOS’s data ecosystem. You will ensure the development of a scalable, secure and robust data infrastructure that aligns with ASOS’s strategic goals. By partnering with engineering leads and other stakeholders, you will enable teams to access high-quality, reliable and governed data. You will foster advanced analytics, AI and data product development. Your role will drive data ownership, continuous improvement in data infrastructure and governance, ensuring high standards of data quality, governance and compliance. This position is crucial for supporting innovation, scalability and data-driven decision-making within ASOS.

Key Responsibilities

Product Leadership

• Product Vision & Strategy: Define and communicate a compelling product vision and roadmap for ASOS’s data ecosystem, aligned with ASOS’s strategic business goals and customer needs. Clearly articulate the why behind the product offering and prioritise features that maximize value.
• Problem Definition: Work with stakeholders to deeply understand your customer value/user pain points, identify data champions, seek out opportunities and translate them into actionable product and platform requirements.
• Roadmap Development: Create and maintain the data product roadmap that aligns with business goals, customer needs and technology trends.
• Prioritisation: Prioritise product features and enhancements based on customer feedback, business impact and technical feasibility in collaboration with engineering teams.

Product Management

• Frameworks and Methodologies: Implement relevant methodologies to ensure iterative development, continuous feedback and rapid delivery of product features.
• Innovation & Problem-Solving: Explore new data capabilities and initiate proof of concept(s) and experiments to build innovative data solutions that push the boundaries of data products and platforms.
• Continuous Improvement: Foster a culture of continuous improvement by regularly reviewing processes and outcomes to enhance product development efficiency.

Customer Feedback Integration

• User Research: Conduct user research and gather customer insights to inform product decisions and identify areas for improvement.
• Continuous Improvement: Continuously refine the data product roadmap based on customer feedback, data quality reviews, data definitions, business priorities and tech opportunities. Ensure that the team learns and iterates rapidly to build robust data products.
• Customer-Centric Approach: Serve as the voice of the customer within the team, ensuring that all decisions are grounded in delivering the best possible experience for users.

KPI Setting and Tracking

• KPIs & Success Metrics: Define, own and track key performance indicators (KPIs) to measure product success, ensuring that each feature delivered drives tangible business outcomes.
• Reporting: Provide regular updates and reports on product performance to stakeholders, highlighting successes and areas for improvement.
• Data-Driven Decision Making: Use data to inform product decisions, leveraging customer insights, analytics and experimentation to validate assumptions and prioritize the right features.

Collaboration with Engineering Leads

• Strategic Alignment: Partner with engineering leads to ensure product strategies are technically feasible and aligned with engineering capabilities.
• Shared Accountability: Collaborate in planning sessions, sprint ceremonies and other key activities to balance technical and business perspectives. Act as a bridge between business units and technical teams, translating complex requirements into actionable product specifications.
• Outcome Focus: Work together to drive product initiatives that deliver tangible business outcomes and customer value.

Governance, Data Quality, and Compliance

• Establish and Maintain Data Governance Standards: Define and enforce standards for data quality, documentation, and compliance across shared data platforms and products. Ensure that all data solutions meet organisational policies and regulatory requirements.
• Promote Data Literacy, Ownership and Responsible Usage: Ensure that all shared data products are well-documented, with clear definitions and usage guidelines. Build relationships with Data Owners to promote responsible data usage and data literacy across the organisation, enabling teams to make the most of available data resources.
• Data Quality: Ensure business rules and data quality standards are documented and applied. Work with customers to agree sensible Data Quality Thresholds for Data Products.
• Ethical and Compliant Data Practices: Advocate for ethical data practices and ensure compliance with data privacy regulations. Work closely with governance teams to maintain high standards of data integrity and security.

This role is crucial in setting up the foundation for ASOS’s data strategy, ensuring that data is easily accessible, reliable and managed securely. You will drive data ownership, governance and stewardship within the platform team, promoting high standards of data quality and compliance. As a bridge between business needs and technical execution, you will ensure that our data ecosystem supports innovation, scalability and data-driven decision-making

Qualifications

• Proven experience managing enterprise data platforms, data products or foundational data capabilities.
• Strong understanding of data architecture, data integration and modern data management practices.
• Experience defining product strategy, creating roadmaps and prioritising investment decisions.
• Demonstrated success working with cross-functional teams in Agile environments.
• Familiarity with modern cloud data platforms and technologies, including Azure, Databricks and dbt.
• Strong understanding of data governance, data quality and security best practices.
• Ability to work confidently with technical teams and translate complex concepts into business outcomes.
• Exceptional stakeholder management and communication skills.
• Strong analytical and strategic thinking abilities.
• Customer-focused mindset with a passion for solving meaningful problems.
• Proven ability to lead through influence, build alignment and drive organisational change.
• Curious, innovative and comfortable challenging the status quo.

Why You’ll Love Working Here

• Empowerment and Impact: Lead a talented team, shape the future of our data products and directly impact the success of our business.
• People-Focused Culture: Be part of a company that values your input, encourages personal and professional growth and fosters a supportive work environment.
• Innovation-Driven Environment: Work on challenging projects that push the boundaries of technology and allow you to experiment with new ideas.
• Career Development: Access to training, conferences and mentorship to help you advance your career and develop new skills.
• Collaborative and Inclusive Team: Join a diverse, inclusive and collaborative team where every voice is heard and valued.

Additional Information

BeneFITS’ 

• Employee discount (hello ASOS discount!) 
• Employee sample sales 
• 25 days paid annual leave + an extra celebration day for a special moment 
• Discretionary bonus scheme 
• Private medical care scheme 
• Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits 
• Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role