Director of Client Success

December 20, 2024

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Pattern Data

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Pattern Data is a company that specializes in providing AI-powered legal technology solutions, particularly focused on mass tort litigations. Their platform leverages artificial intelligence to automate and expedite the review of medical records, helping legal teams build evidence more efficiently and accurately. By digitizing, analyzing, and categorizing client data, Pattern Data helps improve law firm operations and enhances strategic decision-making. Trusted by leading law firms, their software significantly speeds up case reviews, settlements, and overall litigation processes.

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

💰 Seed Round on 2020-02

📋 Description

• Responsible for developing and executing strategies to drive customer satisfaction, retention and growth. • Lead the Client Success team and collaborate closely with Implementation, Project Management, and Analytics teams. • Client Strategy and Operations including developing and executing client strategies, cultivating high-impact partnerships, and spearheading customer onboarding. • Team Leadership and Development by hiring, training, mentoring, and collaborating with internal experts to ensure strong client support. • Develop best-in-class protocols to create a consistent and effective client experience.

🎯 Requirements

• 7+ years of experience in client success, client management, or client-focused consultancy. Experience with reporting and analytics is preferred. • 5+ years in team leadership or management roles, with demonstrated expertise in team development and coaching. • Proven success in designing and implementing business process improvements and automation strategies to enhance client success. • Demonstrated ability to drive customer satisfaction, retention, and revenue growth, with a customer-centric approach. • Strong leadership and interpersonal skills, with the ability to inspire and develop high-performing teams while building rapport with enterprise-level clients and stakeholders • Proficiency with Business Intelligence (BI) and reporting tools (e.g., Power BI, Looker, or Tableau), with an analytical mindset for data-driven decision-making. • Excellent communication and presentation skills, with the ability to engage effectively with both technical and non-technical audiences. • Experience with SaaS or subscription-based business models is highly desirable.