Hayfin’s Technology team is committed to providing data-driven insights and innovative solutions across our business operations. As a part of our strategic growth, we are looking for a highly motivated and skilled Business Intelligence Product Owner to join our team. The successful candidate will drive the development and optimisation of solutions that empower key business stakeholders to make data-informed decisions.

EXPERIENCE:

• Minimum of 5 years of experience in a product management, product ownership or data consulting role, with a focus on reporting, analytics, or business intelligence (BI) tools.
• Strong experience with reporting platforms and BI tools (QlikSense would be beneficial)
• Solid understanding of data governance, data quality, and reporting best practices.
• Experience working in an agile environment, managing backlogs, and collaborating with cross-functional teams.
• Proven ability to understand and translate business needs into technical solutions that provide value to the organization.

SKILLS:

• Reporting & Analytics Tools Expertise: Proficiency in using and managing BI tools (e.g., Power BI, Tableau, etc.) for creating interactive dashboards, reports, and visualizations.
• Data-Driven Decision Making: Strong analytical skills and the ability to interpret complex data and turn it into actionable insights for various stakeholders.
• Business Acumen: Ability to understand business objectives and ensure that reporting products align with and support these goals.
• Collaboration & Communication: Strong interpersonal and communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
• Problem-Solving: Ability to address complex reporting challenges and find innovative solutions.
• Agile Methodology: Familiarity with Agile frameworks (e.g., Scrum, Kanban) and product management tools (e.g., Jira, Confluence) for managing product backlogs, sprints, and product delivery.

Education:

• Bachelor’s degree in Business, Data Science, Computer Science, Engineering, or a related field.
• Relevant certifications in reporting or data analytics are a plus.

ROLE OVERVIEW:

The Business Intelligence Product Owner will take ownership of the reporting platform within the organisation, defining and executing the vision for the reporting and analysis solutions and provision of Management Information that aligns with business goals. This includes working closely with internal stakeholders to gather reporting and MI requirements, managing a product backlog, and ensuring that technology capabilities meet both strategic objectives and user needs. The role requires deep knowledge of end user business intelligence tools, a strong understanding of data governance, and the ability to collaborate with both technical and business teams.

KEY RESPONSIBILITIES:

• Reporting Strategy & Vision: Develop and communicate a clear vision and roadmap for the business intelligence product, ensuring alignment with overall business goals and objectives.
• Stakeholder Management: Engage with business leaders, data analysts, and other stakeholders to gather and prioritize reporting requirements, ensuring solutions meet their needs and drive value.
• Backlog Management: Maintain and prioritize the product backlog, ensuring the team is working on the highest-value features and improvements based on user feedback and business needs.
• Reporting Solutions: Own the design, delivery, and optimization of reporting solutions, including dashboards, reports, and self-service analytics tools, ensuring they are actionable and easy to understand for stakeholders.
• Process Improvement: Identify and drive continuous improvements in the reporting process, from data extraction and transformation to visualization and interpretation, ensuring reporting systems remain scalable and efficient.
• Collaboration with IT, Data & Analytics Teams: Work closely with data engineers, data scientists, and IT teams to ensure that the reporting solutions are integrated with relevant data sources, meet performance standards, and comply with data governance policies.
• Quality Assurance: Ensure that reports are accurate, consistent, and reliable. Work with the Engineering team to address any data quality issues impacting the reporting environment.
• User Training & Support: Provide training and support for end-users of reporting tools and solutions, ensuring they are equipped to use reporting features effectively for their decision-making.
• Performance Metrics: Develop key performance indicators (KPIs) and metrics for evaluating the effectiveness of reporting solutions, ensuring that they deliver actionable insights and support strategic business decisions.
• Data Governance: Ensure that all reporting is in compliance with relevant data governance, security, and privacy standards.
• Vendor Management: If external reporting tools or platforms are used, manage relationships with vendors to ensure solutions are effective, scalable, and aligned with business needs.