About Wellspring

Wellspring Worldwide, Inc. is a leading provider of web-based software systems for managing research, technology commercialization, and innovation operations for universities, companies, government agencies, and independent labs. Founded in 2003, Wellspring has grown to serve over 500 organizations globally, including Fortune 500 companies, SMEs, hospitals, and universities. The company’s flagship products—Sophia, Flintbox, and Zeto—enable organizations to manage the entire innovation lifecycle, from discovery and IP management to commercialization and knowledge transfer.

Position Summary 

We are seeking a highly organized and technically skilled Data Analyst Team Lead to oversee a small team of Data Analysts and contractors responsible for executing complex data migrations for both new and existing customers transitioning to the Evolve platform. This role ensures high-quality, timely, and accurate movement of data between source systems and Evolve, supporting successful customer onboarding, platform adoption, and expansion projects. The ideal candidate is a strong people leader with hands-on data migration experience, excellent communication skills, and the ability to thrive in a fast-paced, customer-facing environment. 

Key Responsibilities 

Team Leadership & Operations 

• Lead, mentor, and develop a team of Data Analysts and contractor resources 

• Assign and prioritize workload across multiple concurrent customer migration projects 

• Establish and enforce best practices for data validation, documentation, and delivery 

• Support career development, coaching, and performance feedback 

• Foster a collaborative, solution-oriented, and high-accountability team culture 
   

Data Migration Ownership 

• Serve as the accountable owner for all customer data migration activities into Evolve 

• Oversee data mapping, transformation logic, cleansing, and quality checks 

• Review migration scripts, data output, and test runs prior to delivery 

• Identify risks, issues, and data anomalies and proactively resolve or escalate 

• Ensure all migrations meet contractual scope, accuracy, and timeline expectations 
   

Integration Ownership 

• Serve as the accountable owner for all customer  integrations with Evolve, when in scope 

• Manage or perform development of API-based integrations using dataloader.io or AnyPoint 

• Collaborate with Customer teams to define requirements 

• Ensure integrations are designed for reliability, performance, and maintainability 

• Oversee validation, testing, and handoff for ongoing customer integration operations 

Customer & Cross-Functional Collaboration 

• Act as a customer-facing subject matter expert for migrations and integrations 

• Participate in discovery, planning sessions, and cutover discussions 

• Translate complex data and integration topics into clear business language 

• Partner closely with Sales, Implementation, Product, Engineering, and Success teams 

Process & Continuous Improvement 

• Standardize reusable migration templates, mapping guides, and SOPs 

• Drive operational efficiency in tooling, automation, and repeatable workflows 

• Track key delivery metrics (quality, cycle time, rework, customer satisfaction) 

• Recommend and execute improvements to methodology and standards 

Qualifications 

• 3-5+ years experience in Data Analysis, Data Migration, or Implementation Services 

• Prior experience leading or mentoring resources 

• Strong understanding of relational data models, APIs, and data transformation concepts 

• Demonstrated ability to manage multiple complex projects in parallel 

• Strong communication and interpersonal skills with the ability to build positive customer relationships 

• Excellent organizational skills with high attention to detail and quality 

• Strong written and verbal communication skills 

• Calm and steady under pressure with a problem-solving mindset 
   

Preferred 

• Experience with SQL for data extractions, querying, or validation 

• Experience with Python for scripting and transformation automation 

• Prior work with enterprise SaaS applications or enterprise customer environments 

• Experience migrating data between legacy systems and modern platforms 

• Familiarity with API frameworks, ETL tools, or workflow automation platforms