At a Glance
- Tasks: Drive product discovery, develop user stories, and lead stakeholder engagement.
- Company: Leading change consultancy focused on transforming strategies into reality.
- Benefits: Hybrid work model, competitive pay, and a chance to make a real impact.
- Other info: Temporary role with excellent opportunities for growth and learning.
- Why this job: Join a dynamic team and shape the future of data products in retail.
- Qualifications: Experience in retail or financial services and strong agile product management skills.
The predicted salary is between 50000 - 60000 £ per year.
Overview
MAKE STRATEGY A REALITY | ACCELERATE YOUR GROWTH | CHOOSE YOUR PATH.
As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last.
We're seeking a Data Product Manager in London in our retail practice to help us take vision to value and create lasting impact. 6–9-month contract assignment, temporary employee (PAYE) opportunity working via an Umbrella company.
Hybrid role 2-3 days a week onsite in London.
Responsibilities
- Drive product discovery and analysis activities to uncover user needs and define strategic opportunities.
- Develop and prioritise the product backlog in close collaboration with business and technical stakeholders.
- Create comprehensive user stories and use cases that guide development teams and ensure clarity of requirements.
- Lead stakeholder engagement activities and maintain proactive communication across all levels of the organisation.
- Establish product roadmaps that balance immediate business needs with long-term strategic objectives.
- Facilitate prioritisation discussions between competing demands, using data-driven approaches to inform decisions.
- Adapt effectively to ambiguity and evolving business requirements in a fast-paced environment.
- Champion agile practices and foster continuous improvement within the product delivery team.
- Demonstrate resilience and problem-solving capability when navigating complex stakeholder landscapes.
- Ideal qualifications
- Proven experience working within retail or financial services environments.
- Demonstrated expertise in agile product management methodologies and practices.
- Strong background in data product development or analytics-focused product roles.
- Experience translating complex technical concepts into clear business language.
- Excellent stakeholder management and relationship-building capabilities.
- Self-starting mindset with the ability to work independently and take ownership.
- Outstanding communication and presentation skills across multiple audience levels.
- Proven ability to ask insightful questions and challenge assumptions constructively.
- Strong analytical thinking and commercial acumen.
- Experience working in matrix organisations with geographically dispersed teams.
- Work arrangement and eligibility
- Applicants must be authorized to work in the United Kingdom, without the need for visa sponsorship by North Highland.
Work visa sponsorship will not be provided, either now or in the future, for this position.
- This is a temporary employee (PAYE) opportunity working via an Umbrella company.
- North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace.
All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law.
We handle all information in accordance with local privacy standards and maintain strict confidentiality.
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StudySmarter Expert Advice🤫
We think this is how you could land Data Product Manager in London
✨Tap into Online Data Science Communities
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We think you need these skills to ace Data Product Manager in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at North Highland, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to North Highland, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab North Highland’s attention and show the tangible impact of your work.
How to prepare for a job interview at North Highland
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at North Highland.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at North Highland.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at North Highland.