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- Tasks: Lead the data product strategy and manage the product backlog for the Underwriting function.
- Company: Join a growing global specialist insurer focused on modern data and analytics capabilities.
- Benefits: Enjoy hybrid working, inclusive culture, and opportunities for professional growth.
- Why this job: Be part of a transformative journey that enhances data literacy and drives innovation in insurance.
- Qualifications: Knowledge of data architecture, governance, and experience with complex data projects required.
- Other info: SPG Resourcing values diversity and offers reasonable accommodations throughout the hiring process.
The predicted salary is between 43200 - 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.
Technical Expertise:
- 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.
If this sounds like something you are interested in, please get in contact: 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: JR United Kingdom
Contact Detail:
JR United Kingdom 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 analytics and product management. Being well-versed in current technologies and methodologies will help you engage in meaningful conversations during interviews and demonstrate your passion for the role.
✨Tip Number 2
Network with professionals in the data and insurance sectors. Attend industry events or join relevant online communities to connect with potential colleagues or mentors who can provide insights into the company culture and expectations for the Data Product Owner role.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully managed data projects in the past. Highlight your experience in translating business needs into actionable data strategies, as this will showcase your ability to align with the company's objectives.
✨Tip Number 4
Demonstrate your understanding of data governance and ethical data use. Be ready to talk about how you've implemented best practices in previous roles, as this is crucial for ensuring compliance and building trust with stakeholders.
We think you need these skills to ace Data Product Owner
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Product Owner. Familiarise yourself with the key tasks mentioned in the job description, such as defining a data product roadmap and managing a product backlog.
Tailor Your CV: Customise your CV to highlight relevant experience in data architecture, data governance, and project management. Use specific examples that demonstrate your ability to translate data insights into business strategies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and analytics. Explain how your skills align with the company's goals and how you can contribute to their data strategy and transformation journey.
Highlight Technical Expertise: In your application, emphasise your technical knowledge, especially in areas like machine learning, AI technologies, and data visualisation. Mention any relevant certifications or projects that showcase your expertise in these fields.
How to prepare for a job interview at JR United Kingdom
✨Understand the Data Strategy
Familiarise yourself with the company's data strategy and how it aligns with their business objectives. Be prepared to discuss how you 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 applied these skills in previous roles, especially in the insurance sector.
✨Communicate Effectively
As a Data Product Owner, you'll need to act as a bridge between stakeholders and data teams. Practice articulating complex data concepts in simple terms, and demonstrate your ability to facilitate clear communication.
✨Emphasise User-Centric Approach
Discuss how you prioritise user feedback and adapt data products accordingly. Share examples of how you've improved data visualisation and accessibility for stakeholders in past projects.
