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- Tasks: Lead product development by translating business needs into user stories and managing the product backlog.
- Company: Join a pioneering Fintech transforming financial publishing with innovative data solutions for investors and managers.
- Benefits: Enjoy 24-29 days annual leave, flexible Fridays, wellness days, and hybrid working options.
- Why this job: Be part of a dynamic team driving growth in a user-centric environment with exciting challenges.
- Qualifications: Experience in product management, user story requirements, and familiarity with agile methodologies is essential.
- Other info: We value diversity and are committed to equal opportunities for all applicants.
The predicted salary is between 42000 - 84000 £ per year.
Over the past 25 years our company has transformed from a traditional financial publisher to a product-led Fintech, offering a global interchange connecting investors and managers to the people and insight-enriched data they need to raise and allocate assets. With Intelligence has recently raised a new round of funding from a successful technology investor with a value-creation plan centred around elevating our product to be the pioneering and market-leading platform we envisage. We are looking for data and user-centric people eager to help drive us through our next growth phase.
What you'll do
- Gather and translate business requirements into user stories and acceptance criteria
- Prioritise the product backlog, understanding benefits to users and our business, and ensure it is aligned to the strategic roadmap
- Lead refinement of requirements with the development team, focusing them on delivering value to our customers and business
- Plan delivery of initiatives from Product Requirement Documents by identifying suitable breakdowns into epics and prescribing the MVP and subsequent releases
- Manage dependencies with design, architecture and data and report on risks and issues
- Triage bugs, identify steps to replicate and describe acceptance criteria
- Oversee scrum ceremonies, unblock developers to facilitate efficient delivery, including setting clear sprint goals that ensure completion of a feature either for release, UAT or stakeholder demo
- Demo to key stakeholders and produce user guides when required
- Craft release notes both for internal client-facing teams and in support of product marketing and client communication functions
- Run user acceptance testing where appropriate with internal teams and external clients
- Own the set up of user engagement and KPI tracking for your features, reporting them to product management and identifying smaller enhancements to add straight to your backlog
Requirements
- Experience building successful relationships with a variety of stakeholders
- A user-centric mindset and familiarity with supporting product frameworks like personas, jobs-to-be-done, and user journey mapping
- Take pride in the product, be eagle-eyed spotting bugs and opportunities for improvements and craft well considered features
- Strong experience with user story requirements, SDLCs, unit tests and Gherkin acceptance criteria formats
- Familiarity with modern data integration approaches
- Experience working with ETL, data pipelines, data warehousing, and CDC methodologies
- Familiarity with CI/CD practices
- Understand core agile methodologies such as scrum and kanban, be able to pick the right approach for your development team and spearhead ceremonies
- Comfort with handling data and using it to inform making judgements, basic skills with Google Analytics, Tableau, SQL and such like are a bonus
- Self-sufficient and organised - able to drive forward your plans with limited oversight
- Take a pro-active approach to your learning and development while being able to take advice and reflect upon it
- Experience in the financial service industry with knowledge of private markets and core asset management principles or a track record of quickly understanding similarly complex industries and use cases
- Ability to translate technical engineering language to 'business speak' for your stakeholders and clearly articulate business priorities and user needs to the development team
Benefits
- 24 days annual leave rising to 29 days
- Enhanced parental leave
- Medicash (Health Cash Plans)
- Wellness Days
- Flexible Fridays (Opportunity to finish early)
- Birthday day off
- Employee assistance program
- Travel loan scheme
- Charity days
- Breakfast provided
- Social Events throughout the year
- Hybrid Working
We are an Equal Opportunity Employer. Our policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, colour, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable law.
Data Product Owner employer: With Intelligence
Contact Detail:
With Intelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Owner
✨Tip Number 1
Familiarise yourself with the specific product frameworks mentioned in the job description, such as user journey mapping and jobs-to-be-done. This will help you demonstrate your understanding of user-centric design during interviews.
✨Tip Number 2
Brush up on your knowledge of agile methodologies, particularly scrum and kanban. Be prepared to discuss how you've successfully implemented these practices in past roles, as this will show your capability to lead scrum ceremonies effectively.
✨Tip Number 3
Highlight any experience you have with data integration approaches and tools like ETL and data warehousing. Being able to speak confidently about these topics will set you apart as a candidate who understands the technical aspects of the role.
✨Tip Number 4
Prepare examples of how you've built successful relationships with stakeholders in previous positions. This is crucial for a Data Product Owner, so having concrete stories ready will help you illustrate your interpersonal skills.
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 and requirements of the Data Product Owner position. Tailor your application to highlight relevant experiences that align with the job description.
Craft a Compelling CV: Your CV should clearly showcase your experience in product management, user story requirements, and agile methodologies. Use specific examples to demonstrate your skills in stakeholder management and data handling.
Write a Tailored Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Highlight your user-centric mindset and any relevant experience in the financial services industry. Make sure to connect your background to the company's vision and goals.
Proofread and Edit: Before submitting your application, take the time to proofread your documents. Check for any spelling or grammatical errors, and ensure that your writing is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at With Intelligence
✨Understand the Product and Market
Before your interview, make sure to research the company's product offerings and their position in the Fintech market. Understanding how they connect investors and managers will help you articulate how your skills can contribute to their goals.
✨Showcase Your User-Centric Mindset
Be prepared to discuss your experience with user stories, personas, and user journey mapping. Highlight specific examples where you've successfully gathered business requirements and translated them into actionable tasks for development teams.
✨Demonstrate Agile Methodology Knowledge
Familiarise yourself with agile methodologies like Scrum and Kanban. Be ready to explain how you've applied these frameworks in past projects, particularly in managing product backlogs and leading scrum ceremonies.
✨Prepare for Technical Discussions
Since the role involves working with data integration and ETL processes, brush up on your technical knowledge. Be ready to discuss your familiarity with tools like SQL, Google Analytics, and data pipelines, and how you've used data to inform decision-making.
