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- Tasks: Lead the data product strategy and manage the product backlog for the Underwriting function.
- Company: Join a global specialist insurer transforming its data and analytics capabilities.
- Benefits: Enjoy hybrid working, inclusive culture, and opportunities for professional growth.
- Why this job: Be at the forefront of data innovation, driving impactful change in the insurance sector.
- Qualifications: Experience in data architecture, governance, and project management is essential.
- Other info: We value diversity and offer accommodations throughout the hiring process.
The predicted salary is between 48000 - 72000 £ per year.
A growing global specialist insurer is investing in modern data and analytics capabilities. A key milestone in this journey has been the approval of a new Data Strategy, Target Operating Model, and Roadmap. As part of this transformation, a Group Data Function has been established to implement the strategy and enhance data and analytics capabilities across various business functions, including Underwriting, Claims, and Marketing. This role sits within the Group Functions Data Hub and is dedicated to supporting the Underwriting function.
The Data Product Owner will be responsible for translating high-level data strategy into a product backlog, working closely with delivery teams to ensure data solutions align with business needs.
Key Responsibilities- Define and maintain a compelling data product roadmap that aligns with business objectives.
- Create, refine, and prioritise the product backlog, ensuring it delivers measurable value.
- Act as the primary contact between business stakeholders and data teams, facilitating clear communication.
- Drive the adoption of new technologies, tools, and analytics approaches to enable transformational change.
- Regularly review and enhance data products based on user feedback and evolving business needs.
- Ensure data products align with internal governance policies and regulatory requirements.
- Focus on improving data visualisation and accessibility for stakeholders.
- Promote data literacy and provide training to business users.
- Ensure responsible and ethical use of data.
- Knowledge of data architecture, data modelling, and enterprise data concepts.
- Ability to interpret data insights and translate them into business strategies.
- Experience with data governance frameworks and quality management practices.
- Familiarity with machine learning and AI technologies.
- Ability to align data initiatives with business goals and market trends.
- Strong problem-solving capabilities with a focus on delivering business value.
- Experience in managing complex data projects.
- Understanding of data best practices in the insurance sector.
SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.
Data Product Owner employer: SPG Resourcing
Contact Detail:
SPG Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Owner
✨Tip Number 1
Familiarise yourself with the latest trends in data architecture and analytics, especially within the insurance sector. This knowledge will help you speak confidently about how you can contribute to the company's data strategy during interviews.
✨Tip Number 2
Network with professionals in the data and insurance industries. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the challenges they face, which can give you insights to discuss in your application.
✨Tip Number 3
Prepare to demonstrate your experience with managing complex data projects. Think of specific examples where you've successfully aligned data initiatives with business goals, as this will be crucial in showcasing your fit for the role.
✨Tip Number 4
Brush up on your understanding of data governance frameworks and quality management practices. Being able to articulate how you ensure responsible and ethical use of data will set you apart from other candidates.
We think you need these skills to ace Data Product Owner
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Data Product Owner position. Tailor your application to highlight relevant experiences that align with the job description.
Craft a Tailored CV: Your CV should reflect your expertise in data architecture, governance frameworks, and project management. Use specific examples from your past roles to demonstrate how you've successfully managed complex data projects.
Write a Compelling Cover Letter: In your cover letter, express your passion for data-driven solutions and how you can contribute to the company's data strategy. Mention your familiarity with machine learning and AI technologies, as well as your commitment to ethical data use.
Highlight Communication Skills: Since the role involves acting as a liaison between business stakeholders and data teams, emphasise your communication skills. Provide examples of how you've facilitated clear communication in previous roles to ensure alignment on project goals.
How to prepare for a job interview at SPG Resourcing
✨Understand the Data Strategy
Make sure you have a solid grasp of the company's data strategy and how it aligns with their business objectives. Be prepared to discuss how your experience can contribute to translating this strategy into actionable data products.
✨Showcase Your Technical Expertise
Highlight your knowledge of data architecture, modelling, and governance frameworks during the interview. Be ready to provide examples of how you've successfully managed complex data projects in the past.
✨Communicate Effectively
As a Data Product Owner, you'll need to act as a bridge between business stakeholders and data teams. Practice articulating technical concepts in a way that non-technical stakeholders can understand, demonstrating your ability to facilitate clear communication.
✨Emphasise Data Literacy and Training
Discuss your approach to promoting data literacy within an organisation. Share any experiences where you've provided training or support to business users, showcasing your commitment to improving data accessibility and responsible use.
