At a Glance
- Tasks: Lead product teams in connected mobility and translate technical findings into actionable requirements.
- Company: Innovative company at the forefront of connected mobility solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to mentor and drive innovation across teams.
- Why this job: Be a key player in shaping the future of mobility with cutting-edge data solutions.
- Qualifications: Strong influencing skills, strategic thinking, and expertise in product management.
The predicted salary is between 60000 - 80000 £ per year.
Are you a dynamic and experienced Technical Product Owner interested in leading one of our product teams in the realm of connected mobility?
Responsibilities:
- The Technical Product Owner is engaged short-term to perform a structured gap analysis for a technical project and translate findings into clear, testable requirements that engineering teams can estimate, plan, and deliver.
- The role ensures the target state is well-defined and the path to get there is unambiguous.
- Requirements Pack: functional & integration & data, each testable.
- Delivery-ready breakdown: epics/features/stories (or equivalent) aligned to the requirements.
- Stakeholder playback notes and decisions log.
- Align stakeholders on objectives, outcomes, constraints, and success measures.
- Define in-scope systems, integrations, data sources, environments, and interfaces.
- Capture assumptions, dependencies, risks, and decision owners.
Qualifications:
- Excellent influencing skills across multiple senior stakeholders.
- Mentoring others and elevating product management capabilities across teams.
- Strategic thinker with deep expertise in product management.
- Thought leader who drives innovation and change.
- Outcome-obsessed and customer-centric.
- Understand data-by-design, GDPR, European data acts, privacy, etc.
- Understand data pipelines, architecture, and reporting features and can act as the voice of both technical and business stakeholders, define data models, write user stories, and map requirements for cloud data warehouses.
- Bridge the gap between business strategy and data engineering.
Data Product Owner in London employer: TOYOTA Connected
As a leading employer in the connected mobility sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Our commitment to professional development ensures that as a Data Product Owner, you will have ample opportunities for growth and mentorship, while working in a dynamic environment that values strategic thinking and customer-centric solutions. Located in a vibrant area, we offer unique advantages such as flexible working arrangements and a strong focus on work-life balance, making us an attractive choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Owner in 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 TOYOTA Connected!
✨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 TOYOTA Connected.
✨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 TOYOTA Connected.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Owner at TOYOTA Connected, 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!
We think you need these skills to ace Data Product Owner in London
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 TOYOTA Connected, 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 TOYOTA Connected. 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 TOYOTA Connected
✨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 TOYOTA Connected!
✨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.
