Sr. Data Solutions Strategist

Addepar
New York, NY$126k – $196kPosted 26 March 2026

Tech Stack

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 Addepar is scaling the Addepar Data Exchange (ADX)—our managed Data Lakehouse designed to modernize the global investment landscape—alongside our Premier Data Validation and Sandbox suites. We are seeking a quota-carrying commercial expert to serve as the technical spearhead for this ecosystem. You will own the 'Technical Win' and carry a dedicated revenue target, architecting data strategies that transition large-scale financial institutions from fragmented legacy silos to a unified, scalable infrastructure. Your goal is to solve the industry’s most expensive problem: data integrity. By leveraging automated validation to ensure high-fidelity reporting and Sandbox environments to de-risk complex migrations, you aren't just selling software; you are re-engineering the data backbone of global wealth management. ADX is a state-of-the-art, fully managed Data Lakehouse that provides clients with a modern data platform. ADX gives clients control of the entire data lifecycle from management, storage, processing, analysis and the deployment of data in a mature way. Sandbox is a dedicated environment for safe testing of workflows and integrations. Premier Validation Offering: Services offering designed to reduce data validation cycles, manual investigations and cross-system inconsistencies to help clients build a durable data foundation The current range for this role is $126,000 - $196,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You'll Do Product Expertise: Develop in-depth, technical knowledge of product features, benefits, and applications to serve as the go-to expert. Market Product Analysis: M onitor market trends, competitor activity, and customer feedback to guide product improvements and GTM strategy with marketing, sales, and product team. Sales Marketing Support: Collaborate with sales/marketing teams to create promotional materials, deliver product presentations, and assist with sales closures. Work closely with GTM sales to identify opportunities with both new and existing clients; Drive technical strategy for complex data migrations and Lakehouse adoption Create articulate compelling value propositions that address our clients' specific needs. Manage and forecast sales activity and opportunities using Salesforce Training Enablement: Create training materials and conduct sessions for internal teams (sales, customer service) and external partners. Help educate the GTM teams on successful use cases, wins and losses, and upcoming product features and functionality. Customer Engagement: Interact with customers to understand needs, provide technical support, and resolve issues, directly impacting customer experience. Support existing clients deriving value from the product and ensuring their ... (truncated, view full listing at source)
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