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For Companies At a Glance
- Tasks: Lead the data team and manage the product lifecycle using Agile methods.
- Company: Join a fast-growing investment and asset management firm focused on data-driven solutions.
- Benefits: Enjoy a competitive salary, bonuses, and hybrid work options in Central London.
- Why this job: Be part of an innovative team shaping impactful data products in a dynamic environment.
- Qualifications: Experience in data product management with skills in GCP, SQL, Python, and Power BI required.
- Other info: Opportunity to co-lead the data function and collaborate with diverse teams.
The predicted salary is between 51000 - 85000 £ per year.
Industry: Investment & Asset Management
Location: Hybrid (2-3 days/week in Central London)
Salary: Up to £85,000 + bonus + benefits
About the Role
We're hiring a Data Product Manager to co-lead the data team and drive the strategy and delivery of internal data products in a fast-growing, data-driven investment and asset management firm. This role blends product ownership, stakeholder engagement, and hands-on collaboration with engineering and analytics. You'll take charge of product roadmaps, translate user needs into actionable features, and work cross-functionally to build innovative, scalable solutions on a modern data stack.
Responsibilities
- Own the end-to-end data product lifecycle using Agile methodology.
- Define product strategy and roadmap aligned with business goals.
- Collaborate with engineers, analysts, and stakeholders to deliver impactful data tools and features.
- Manage and prioritise backlogs for analytics and data engineering.
- Track product performance using defined metrics and user feedback.
- Co-lead the data function alongside the Lead Data Engineer.
Essential Requirements
- Proven experience in data product management or similar roles in data-rich environments.
- Strong knowledge of GCP, SQL, Python, and Power BI.
- Strong communication, stakeholder management, and leadership skills.
- Comfortable working in flat, agile, fast-paced environments.
- Knowledge of data privacy and compliance best practices.
If you are interested in this role, please apply.
Data Product Manager employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Manager
✨Tip Number 1
Familiarise yourself with Agile methodologies, as this role heavily relies on them. Consider joining Agile meetups or online forums to discuss best practices and gain insights from experienced professionals.
✨Tip Number 2
Brush up on your technical skills, especially in GCP, SQL, Python, and Power BI. You might want to take online courses or work on personal projects that showcase your ability to use these tools effectively.
✨Tip Number 3
Network with professionals in the investment and asset management sector. Attend industry events or webinars to connect with potential colleagues and learn more about the challenges they face in data product management.
✨Tip Number 4
Prepare to discuss your experience with stakeholder management and leadership during interviews. Think of specific examples where you've successfully collaborated with cross-functional teams to deliver data products.
We think you need these skills to ace Data Product Manager
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Product Manager position. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Relevant Skills: Emphasise your experience with GCP, SQL, Python, and Power BI in your CV and cover letter. Provide specific examples of how you've used these tools in previous roles to manage data products or drive strategy.
Showcase Leadership and Collaboration: Since the role involves co-leading a team and collaborating with various stakeholders, include examples in your application that demonstrate your leadership skills and ability to work cross-functionally in agile environments.
Craft a Compelling Cover Letter: Use your cover letter to tell a story about your passion for data product management. Explain why you're interested in this particular firm and how your background makes you a perfect fit for their data-driven culture.
How to prepare for a job interview at Harnham
✨Showcase Your Data Expertise
Make sure to highlight your experience with data product management, especially in data-rich environments. Be prepared to discuss specific projects where you've successfully managed the end-to-end data product lifecycle.
✨Demonstrate Agile Methodology Knowledge
Since the role requires using Agile methodology, be ready to explain how you've applied Agile principles in previous roles. Share examples of how you’ve collaborated with cross-functional teams to deliver impactful data tools.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this position. Practice articulating your thoughts clearly, especially when discussing technical concepts. Be prepared to engage with stakeholders and demonstrate your ability to manage relationships.
✨Prepare for Technical Questions
Given the technical requirements of the role, brush up on your knowledge of GCP, SQL, Python, and Power BI. Expect questions that assess your technical skills and be ready to provide examples of how you've used these tools in your work.
