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For Companies At a Glance
- Tasks: Lead the development of innovative data solutions and collaborate with engineering teams.
- Company: Join Addepar, a global leader in data and AI for investment professionals.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Embrace a culture of learning and collaboration while working on cutting-edge projects.
- Why this job: Make an impact in financial data management and drive innovation in a dynamic environment.
- Qualifications: Experience in product management and proficiency in data technologies like SQL and Python.
The predicted salary is between 60000 - 80000 £ per year.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets.
The Role
An outstanding opportunity awaits you to lead the development of an innovative data-lake-house-as-a-service solution at Addepar. As a Product Manager, you will collaborate with our outstanding engineering teams and forward-thinking clients to successfully implement advanced analytics and data sharing capabilities. This role plays a vital part in fulfilling the ambitious requirements of financial data management and data driven decision making.
What You'll Do
- Develop and implement the product vision for a data lake house product customized to meet the needs of Addepar clients.
- Collaborate with clients to determine data engineering and analytical needs.
- Lead development of key features from requirements definition through delivery.
- Work closely with Data Engineers and Data Scientists to ensure flawless performance and scalability.
- Manage the full product development lifecycle from conceptualization to launch, focusing on continuous improvement.
- Ensure the product remains competitive by staying current with trends in data lake house technologies.
- Regularly communicate updates to collaborators and gather customer feedback.
Who You Are
- Prior product management experience, ideally with data platforms or engineering products.
- Proficient in data lake house technology and data workflows.
- Technical skills in SQL, Python, and data engineering concepts.
- Proven track record to handle data-intensive product development and client-facing requirements.
- Excellent communication and cross-functional collaboration skills.
Preferred Skills:
- Hands-on experience with Databricks or similar data platforms.
- Familiarity with financial services platforms like Addepar.
- Preferred experience with a scrum-based agile development process.
Our Values
- Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
- Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
- Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
- Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
- Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
Product Manager - Data Intelligence in Edinburgh employer: Who We Are Addepar
Contact Detail:
Who We Are Addepar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager - Data Intelligence in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at Addepar. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by diving deep into data lake house technologies. Brush up on SQL and Python, and be ready to discuss how you've tackled data-intensive projects in the past.
✨Tip Number 3
Showcase your collaboration skills! Be ready to share examples of how you've worked with cross-functional teams. Addepar values teamwork, so let them know you're a team player.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the Addepar family.
We think you need these skills to ace Product Manager - Data Intelligence in Edinburgh
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data and analytics shine through. We want to see how you connect with the role of Product Manager in the data intelligence space, so share your experiences and what excites you about working with data.
Tailor Your Application: Make sure to customise your application to fit the job description. Highlight your relevant experience with data platforms and product management. We love seeing how your skills align with our needs, so don’t hold back on showcasing your expertise!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Use bullet points where possible to make your key achievements stand out – we want to see your impact at a glance!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at Who We Are Addepar
✨Know Your Product Inside Out
Before the interview, make sure you thoroughly understand Addepar's data lake house product and its features. Familiarise yourself with how it integrates with other platforms and the specific needs of investment professionals. This will help you demonstrate your knowledge and show that you're genuinely interested in the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and data engineering concepts. Bring examples of past projects where you've successfully managed data-intensive product development. This will highlight your technical proficiency and reassure the interviewers that you can handle the demands of the role.
✨Emphasise Collaboration
Since this role involves working closely with engineering teams and clients, be ready to share examples of how you've effectively collaborated in previous roles. Highlight your communication skills and how you've gathered feedback to improve products. This will align with Addepar's value of building together.
✨Stay Current with Industry Trends
Research the latest trends in data lake house technologies and analytics. Be prepared to discuss how these trends could impact Addepar's offerings. Showing that you're proactive about learning and innovation will resonate well with their value of driving innovation.