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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: Dynamic work environment with a focus on collaboration and client success.
- Why this job: Make a real impact in financial data management and drive innovation.
- Qualifications: Experience in product management and proficiency in data technologies.
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: Addepar
Contact Detail:
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 current employees at Addepar on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by diving deep into Addepar's products and services. Understand their data lake house technology and think about how your experience aligns with their needs. Show them you’re not just another candidate!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've tackled challenges in product management, especially in data platforms. Make it relatable and relevant to what Addepar is doing.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email reiterating your excitement about the role can leave a lasting impression. And remember, apply through our website for the best chance!
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 - Data Intelligence and how your experience aligns with our mission at Addepar.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific role. Highlight your relevant experience in product management and data platforms, and don’t forget to mention any hands-on experience with technologies like SQL or Python that we value.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for the position. Remember, clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at 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 clients in the financial sector. 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 not only highlight your technical expertise but also your ability to handle client-facing requirements.
✨Emphasise Collaboration
Since the 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. Being able to discuss these trends during your interview will show that you're proactive and committed to driving innovation. It also demonstrates your understanding of the competitive landscape, which is crucial for the role.