Data Product Manager

The Data Product Manager drives the prioritisation and delivery of data products within the MAKE domain. This role suits a strategic thinker with experience in data governance, product management, and cross-functional collaboration. You’ll ensure data products align with business goals, are scalable, and support reuse across teams and regions.

Key Responsibilities

Demand Prioritisation

• Work with business teams to collect and validate new data product demands.
• Use value-based methods to prioritise and sequence demands.
• Maintain a live backlog with a traffic light system for visibility.

Data Product Development

• Manage the full lifecycle of data products, from MVP to scaling.
• Ensure developments meet global standards and best practices.
• Integrate seamlessly with existing systems and processes.

Governance and Compliance

• Enforce strong governance frameworks and compliance protocols.
• Monitor adherence to data standards, policies, and best practices.
• Conduct regular reviews and audits.

Stakeholder Management

• Collaborate with regional and site teams to gain insights and support for initiatives.
• Communicate progress, challenges, and successes clearly.
• Promote cross-functional collaboration and teamwork.

Resource Allocation

• Define resource needs and work with the IT Lead for effective allocation.
• Maximise resource use to meet timelines and drive impact.

Monitoring and Reporting

• Track key performance indicators (KPIs) and measure adoption and usage.
• Lead status meetings and performance reviews.
• Share progress with stakeholders through dashboards and reports.

Continuous Improvement and Service Assurance

• Act on stakeholder feedback to improve product performance.
• Resolve issues, bugs, and tickets promptly.
• Enhance governance and stay updated on industry trends and practices.

Data Roadmaps

• Create and maintain data roadmaps for the MAKE domain.
• Align roadmaps closely with business strategies and goals.

Data Contextualisation Strategy

• Ensure data is relevant and usable for all use cases.
• Work with stakeholders to uphold metadata standards and consistent contextualisation.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Business Administration, or a related discipline (Master’s preferred)
• Demonstrable experience in data product management and analytics, with a background in the pharma manufacturing sector strongly preferred
• Hands-on expertise in data product development, including MVP creation, industrialisation and scalable deployment
• Solid knowledge of data modelling techniques and their practical application, with ability to review models supporting data products and analytics
• Advanced SQL skills for querying and transforming large datasets, writing complex queries, and ensuring smooth product integration
• Exceptional analytical, problem-solving, and decision-making abilities
• Outstanding communication and stakeholder engagement skills across all levels
• Experience with data management tools and platforms
• Ability to manage multiple projects in a dynamic, fast-paced environment
• Familiarity with knowledge graphs and building semantic layers from data products is a strong advantage

Preferred Skills

• Deep understanding of pharma manufacturing best practices

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