Product Manager - Data Intelligence

<div class="content-intro"><p><span style="text-decoration: underline;"><strong>Who We Are</strong></span></p> <p>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. </p></div><h4><span style="text-decoration: underline;">The Role</span> </h4> <p>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.<br><br>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.</p> <h4><span style="text-decoration: underline;">What You'll Do </span></h4> <ul> <li>Develop and implement the product vision for a data lake house product customized to meet the needs of Addepar clients.</li> <li>Collaborate with clients to determine data engineering and analytical needs.</li> <li>Lead development of key features from requirements definition through delivery.</li> <li>Work closely with Data Engineers and Data Scientists to ensure flawless performance and scalability.</li> <li>Manage the full product development lifecycle from conceptualization to launch, focusing on continuous improvement.</li> <li>Ensure the product remains competitive by staying current with trends in data lake house technologies.</li> <li>Regularly communicate updates to collaborators and gather customer feedback.</li> </ul> <h4><span style="text-decoration: underline;">Who You Are </span></h4> <ul> <li>Prior product management experience, ideally with data platforms or engineering products.</li> <li>Proficient in data lake house technology and data workflows.</li> <li>Technical sk