Customer Solutions Manager

Datavations is a New York-based data and AI software company specializing in the building materials industry. They are seeking a Customer Solutions Manager to enhance client relationships by driving adoption, demonstrating ROI, and identifying growth opportunities through data-driven insights.

Responsibilities:

• Own client relationships: Serve as the primary strategic partner for a portfolio of building materials and DIY manufacturers. Build trust, drive engagement, and ensure every client sees measurable value from Datavations
• Drive adoption and impact: Go beyond platform training. Help clients integrate Datavations intelligence into their actual workflows—PLR prep, assortment reviews, pricing strategy, merchant meetings
• Tell the story with data: Translate complex datasets into clear, compelling narratives for technical and non-technical audiences. Build business reviews, insight decks, and ad-hoc analyses that move the conversation forward
• Identify growth opportunities: Surface cross-sell and upsell opportunities through genuine understanding of client needs. Qualify expansion potential and collaborate with the sales team to grow accounts
• Champion the client internally: Be the voice of the customer inside Datavations. Advocate for product improvements, flag risks early, and work cross-functionally with data science, product, and leadership to solve problems
• Build and share knowledge: Develop repeatable playbooks, client-facing content, and best practices that raise the bar for the entire CS team

Requirements:

• 3+ years in a customer-facing role where you used analytics and data to drive ROI and inform decisions. Customer success, client consulting, solutions engineering, or account management in a data/analytics context all count
• Demonstrated ability to manage and grow enterprise client relationships—not just maintain them
• Strong data storytelling skills. You can build a narrative for a VP of Sales and also have a detailed data conversation with an analytics lead
• Experience driving adoption of data products or analytics platforms across large organizations. You know how to scale usage beyond the initial champion
• Comfort working with alternative or non-traditional data sources and articulating their value to new audiences
• Revenue awareness. You understand pipeline, renewal risk, and how CS activity connects to commercial outcomes
• Executive presence. You can hold a room with senior stakeholders and earn their trust through substance, not just polish
• Clear, direct communication style; well-organized thinking and practical recommendations
• Experience with retail, consumer, or building materials data (Nielsen, Circana, Numerator, 1010data, major retailer insights platforms or similar)
• Background in market research, competitive intelligence, and/or analytical consulting
• Familiarity with data tools and platforms: SQL, BI dashboards (Tableau, Looker, Power BI), or scripting for analysis (Python, R)
• Demonstrated integration of AI (Claude, Gemini, etc.) into your day-to-day routines to elevate efficiency and unlock new levels of insight through research and data integration
• Experience working at a small or mid-size company where you wore multiple hats and were successful in a dynamic and fast-paced operating model
• Understanding of the retailer/supplier ecosystem—category management, assortment planning, merchant dynamics, supply chain, etc