Product Manager - Data Intelligence in Edinburgh

Product Manager - Data Intelligence in Edinburgh

Edinburgh Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development of an innovative data lake house solution and collaborate with clients.
  • Company: Join Addepar, a forward-thinking company in financial data management.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Diverse and inclusive workplace with a commitment to innovation.
  • Why this job: Make a real impact in data-driven decision making and analytics.
  • Qualifications: Experience in product management and proficiency in SQL and Python.

The predicted salary is between 60000 - 80000 £ per year.

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.

Addepar is a proud 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. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Product Manager - Data Intelligence in Edinburgh employer: Addepar1

Addepar is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the Product Manager role focused on Data Intelligence. With a commitment to employee growth and development, Addepar offers opportunities to work alongside talented engineering teams and forward-thinking clients in the vibrant financial services sector. The company values diversity and inclusion, ensuring a welcoming environment where every employee can thrive and contribute to cutting-edge data solutions.

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Contact Details:

Addepar1 Recruitment 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 people in your industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Prepare for interviews by practising common questions and scenarios related to product management and data intelligence. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.

Tip Number 3

Showcase your skills! Create a portfolio or case studies that highlight your experience with data platforms and product management. This will help you stand out and demonstrate your hands-on expertise.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Product Manager - Data Intelligence in Edinburgh

Product Management
Data Lake House Technology
Data Engineering
SQL
Python
Data Workflows
Client-Facing Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the role of Product Manager - Data Intelligence. Highlight your experience with data platforms and any relevant technical skills like SQL and Python. We want to see how your background aligns with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data lake house technologies and how you can contribute to our team. Be sure to mention any hands-on experience you have with similar platforms.

Showcase Your Collaboration Skills:Since this role involves working closely with engineering teams and clients, make sure to highlight your communication and collaboration skills in your application. We love seeing examples of how you've successfully worked with others in the past!

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing candidates we’re excited to meet!

How to prepare for a job interview at Addepar1

Know Your Product Inside Out

Before the interview, make sure you thoroughly understand the data lake house concept and how it applies to Addepar's clients. Familiarise yourself with their current offerings and think about how you can contribute to their product vision.

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, as this will demonstrate your capability to handle the technical aspects of the role.

Emphasise Collaboration

Since this role involves working closely with engineering teams and clients, highlight your communication and collaboration skills. Share specific instances where you've led cross-functional teams or gathered client feedback to improve a product.

Stay Current with Industry Trends

Research the latest trends in data lake house technologies and be ready to discuss how they could impact Addepar's offerings. Showing that you're proactive about industry developments will reflect your commitment to continuous improvement and innovation.