At a Glance
- Tasks: Lead the development of innovative data solutions and collaborate with engineering teams and clients.
- 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 commitment to inclusion and continuous learning.
- Why this job: Make a real impact in financial data management and drive data-driven decision making.
- Qualifications: Experience in product management, data platforms, and technical skills in SQL and Python.
The predicted salary is between 59400 - 72600 £ 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. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo. 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. 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. 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. 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. Embrace Learning - Engage our community to broaden our perspective. 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. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals.
Data Products Manager in Edinburgh employer: Who We Are Addepar
Addepar is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to take ownership of their projects while delivering meaningful solutions for clients. With a strong commitment to diversity and inclusion, Addepar offers ample opportunities for professional growth and development, particularly in its vibrant London office, where employees can thrive in a fast-paced environment while working with cutting-edge technology in the finance sector.
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We think this is how you could land Data Products Manager in Edinburgh
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We think you need these skills to ace Data Products Manager in Edinburgh
Some tips for your application 🫡
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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