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.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Product Management and Marketing
- Industries
- IT Services and IT Consulting
#J-18808-Ljbffr
Data Product Owner in City of London employer: With Intelligence
With Intelligence is an exceptional employer, offering a dynamic work environment in London that fosters collaboration and innovation. Employees benefit from a comprehensive package including generous annual leave, flexible working options, and wellness initiatives, all while being part of a forward-thinking team that embraces the latest advancements in data technology. The company prioritises employee growth through continuous learning opportunities and a supportive culture, making it an ideal place for professionals looking to make a meaningful impact in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Owner in City of London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like With Intelligence!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Product Owner at With Intelligence.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like With Intelligence.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Owner at With Intelligence, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at With Intelligence, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at With Intelligence. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at With Intelligence
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at With Intelligence!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
