At a Glance
- Tasks: Lead the strategy and delivery of data products that drive business value.
- Company: Dynamic company focused on innovative data solutions.
- Benefits: Competitive salary, comprehensive benefits, and flexible working environment.
- Other info: Great opportunities for career progression and professional development.
- Why this job: Shape the future of data products and make a real impact in the public sector.
- Qualifications: Strong background in data engineering and experience with cloud platforms.
The predicted salary is between 60000 - 70000 £ per year.
Hybrid – candidates should be willing to travel to office and client sites as required, with an expectation of at least 2 days per week on-site.
We're looking for a Data-Focused Product Manager to lead the strategy, roadmap, and delivery of data products that drive business value. This role sits at the intersection of business, data, and technology, requiring someone who can translate complex requirements into clear priorities while working closely with engineering, analytics, and stakeholder groups.
You'll be responsible for shaping product vision, aligning stakeholders, prioritising opportunities, and ensuring data products deliver measurable outcomes for users and the organisation.
- Define and communicate the vision, strategy, and roadmap for data products and platforms.
- Partner with Data Engineers, Architects, Analysts, and business stakeholders to deliver valuable data-led solutions.
- Champion data quality, governance, and best practices across the product lifecycle.
- Strong background in data engineering, data platforms, or data products.
- Experience designing and building data warehouses.
- Good understanding of data architecture and data modelling.
- Knowledge of data governance, including data quality, standards, and data certification.
- Experience working in Agile environments, including Scrum and Kanban.
- Experience working within, or delivering digital products and services for, the UK public sector.
- Experience delivering enterprise-scale data products or platforms.
- Strong understanding of how data can be leveraged to solve business problems and deliver measurable outcomes.
- Experience working with modern cloud data platforms such as Azure, AWS, or GCP.
- Exposure to analytics, business intelligence, AI, or machine learning products.
Competitive salary
Comprehensive benefits package
Flexible and collaborative working environment
Strong opportunities for career progression and professional development
A strategic, data-focused Product Manager with a strong understanding of data engineering, data platforms, data governance, and public sector delivery.
Product Manager - BI and Data in England employer: Harvey Nash
Join a leading organisation that values continuous improvement and offers a collaborative work culture, where you will be part of a dedicated team enhancing a complex Dynamics 365 CE and Power Platform environment. With opportunities for professional growth and exposure to enterprise-scale solutions, this role is perfect for those looking to expand their consulting capabilities while working closely with experienced professionals in Birmingham and remotely. Enjoy the flexibility of remote work combined with the chance to make meaningful contributions to a large user base.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager - BI and Data in England
✨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 Harvey Nash!
✨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 Product Manager - BI and Data at Harvey Nash.
✨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 Harvey Nash.
✨Apply Directly through Our Website
When you find a suitable opening like Product Manager - BI and Data at Harvey Nash, 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 Product Manager - BI and Data in England
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 Harvey Nash, 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 Harvey Nash. 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 Harvey Nash
✨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 Harvey Nash!
✨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.
