At a Glance
- Tasks: Lead the development of an innovative data lakehouse solution and collaborate with engineering teams.
- 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.
Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.
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.
Equal Opportunity Employer
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. Please contact us to request accommodation.
Product Manager Data Lakehouse & Analytics Platform employer: Addepar1
Addepar is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the Product Manager role. With a strong focus on employee growth and development, team members are encouraged to engage with cutting-edge data technologies while working alongside talented professionals in the heart of the UK. The company values diversity and inclusion, ensuring a supportive environment where every voice is heard and respected.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager Data Lakehouse & Analytics Platform
✨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 insider info that could help you stand out.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to product management and data platforms. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio or case studies that highlight your experience with data lake house technologies and product management. This will give potential employers a clear picture of what you bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Product Manager Data Lakehouse & Analytics Platform
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Product Manager role. 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 explain why you're passionate about data lake house technologies and how you can contribute to our team. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Collaboration Skills:Since this role involves working closely with engineering teams and clients, make sure to highlight your collaboration and communication 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 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 keen on joining our team at StudySmarter!
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 offerings. Familiarise yourself with their current products and think about how your experience aligns with their needs.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL, Python, and data engineering concepts. Bring examples of past projects where you've successfully implemented these skills, especially in a product management context.
✨Demonstrate Collaboration Experience
Since this role involves working closely with engineering teams and clients, be ready to share specific instances where you've effectively collaborated across functions. Highlight your communication skills and how they contributed to successful project outcomes.
✨Stay Current with Industry Trends
Research the latest trends in data lake house technologies and analytics platforms. Being able to discuss these trends during your interview will show that you're proactive and genuinely interested in the field, which is crucial for a product manager.
