Addepar
Tech / AI / Software
ProductManager-DataIntelligence
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Product Manager - Data Intelligence at Addepar. Skills: Product Management, Data Intelligence, Data Lake House, Analytics, Data Sharing. 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”
Industry & Context.
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 They're Looking For.
Must Have
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, Must have, and maintain, the right to work in the United Kingdom from the first day of employment
Nice to Have
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
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
How You'll Work.
Team & Collaboration
Collaborate with our outstanding engineering teams; Collaborate with forward-thinking clients; Work closely with Data Engineers and Data Scientists; Excellent communication and cross-functional collaboration skills
Communication Scope
Excellent communication and cross-functional collaboration skills; Regularly communicate updates to collaborators
Process & Methodology
Manage the full product development lifecycle from conceptualization to launch
Full Job Description
Who We Are 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. 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. 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 co
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