• Support customer specific service level agreements for our top shippers • Use critical thinking to identify and forecast potential challenges with load operations • Manage communication and resolve load challenges when they arise • Work with customer’s TMS ensuring timely updates and accurate information is provided • Collaborate with customers to ensure their Transportation Management Systems (TMS) are updated promptly and accurately. • Support and operate with urgency, the track and trace of shipments to ensure service expectations are met • Utilize phone, email, SMS and other messaging tools to consistently and proactively communicate with carriers partners and drivers to confirm and track load events in process • Consistently meet performance expectations in service, and tracking • Identify and Report to key stakeholders any delays or issues with upcoming, active or passed loads

• Optimization: Utilize reporting and data analysis to identify areas for improvement and optimize store performance, enhancing user experience and driving sales. • Content Population: Manage and update content across client Shopify stores, ensuring accuracy and timeliness. • Product Management: Create, update, and maintain product listings, including pricing, descriptions, and images. • Merchandising: Strategically place and highlight products based on client-specific priorities and preferences, maximizing visibility and sales. • App Management: Install, configure, and manage Shopify apps to enhance store functionality and performance. • Site Experience Management: Build and configure landing pages, manage banners across the site, and set up promotional programs, including sales and gift-with-purchase (GWP) offers. • Core Site Settings: Configure and maintain shipping rules, payment configuration, and related storefront logic. • Store Maintenance: Address and resolve technical issues, bugs, and other operational challenges to ensure smooth store operations. • Customer Service Support: Serve as front-line support for customer-facing inquiries related to the storefront. • Feature Development: Implement new features and improvements to keep clients' stores innovative and competitive. • Analytics & Reporting: Monitor store performance using tools such as Microsoft Clarity, and compile monthly revenue reporting (MTD, YoY, QoQ) to surface insights and drive proactive improvements. • Automation & Workflows: Build and maintain Shopify Flow automations to support inventory management, product tagging, merchandising, customer segmentation, and discount auditing. • Developer Management: Identify when a request exceeds Store Ops scope and requires developer involvement. Own escalated tasks end-to-end, including scoping, developer coordination, and timeline accountability through delivery. • Client Support: Serve as a reliable point of contact for clients while maintaining clear, proactive communication with internal teams on promotions, site changes, and performance updates.

Role Description The Director of Data Quality and Operations oversees the strategic vision, design, and delivery of data quality programs at Claritas Rx, ensuring operational excellence, regulatory compliance, and superior transparency for customers. This leader manages and mentors a global team of data operations professionals and champions best-in-class, scalable quality processes to position Claritas Rx as an industry leader in data trustworthiness and value. Key Accountabilities - Strategic Data Quality Leadership - Architect and execute the enterprise-wide data quality strategy, including end-to-end profiling, validation, and continuous improvement across all aggregated sources. - Champion data transparency and create detailed customer-facing reports, delivering consultative insights to maximize value. - Oversee the design and implementation of comprehensive data quality frameworks, SOPs, and automated tools for both real-time and longitudinal assessments of specialty pharmacy and pharmaceutical/biotech data. - Collaborate with Product, Customer Success, and Engineering teams to build out and scale Data Quality operations in alignment with customer needs and product strategy. - Team and Operational Management - Lead, mentor, and develop a team of onshore and offshore data operations specialists—including hiring, training, performance feedback, and capacity/resource planning. - Foster a community of practice to promote process consistency, knowledge sharing, and deep understanding of customer use cases. - Develop and maintain program-specific SOPs, driving standardization, timely issue resolution, and adherence to documented best practices. - Process Optimization and Standardization - Drive operational excellence and efficiency by evaluating, integrating, and advancing scalable automation technologies and methodologies. - Partner closely with Customer Success and internal teams to align operations with customer requirements and business objectives. - Oversee identification, impact assessment, mitigation, and root cause analysis for data quality incidents, with direct oversight of quality monitoring, triage, escalation, and remediation. - Lead regular data audits, automated discrepancy monitoring, and response measures in line with regulatory standards (HIPAA, HITECH, GDPR, SOC2). - Innovation and Compliance - Evaluate and recommend new data management and analytics solutions to advance data quality and business impact. - Monitor industry and regulatory changes, guiding process adaptation for GxP, patient privacy, and data integrity requirements. - Promote a data-driven organizational culture through education, documentation, and best practice sharing. Key Performance Indicators - Customer Satisfaction (including data quality transparency and consultative support) - Platform Data Quality Scores and Error Rate Reduction - Reduction of Mean Time to Resolution (MTTR) for Data Errors - Software Gross Margins - Effectiveness of Global Team Collaboration and Operations Qualifications - Required: - 8+ years’ experience overseeing data quality, data operations, or analytics in pharma/biotech, healthcare, or health tech data management, including global/offshore team leadership. - Deep understanding of data profiling, validation, and data quality frameworks, ideally with experience as a data aggregator or in data operations with a manufacturer. - Experience building scalable operational functions, process automation, and data standards. - Strong communication, quantitative, and analytical skills; track record of customer relationship and trust building. - Preferred: - Advanced degree (MBA, MS/PhD in Informatics, Biostatistics, Operations Research, Computer Science or related fields) - Familiarity with specialty pharmacy, Hub, co-pay, and complex healthcare data sources. - Demonstrated ability to deliver strategic, consultative data quality outcomes for customers in life sciences. Benefits - Competitive salary of $180,000 to $210,000 - Unlimited PTO - Stock options - Flexible, collaborative work environment - Growing set of tools and technology to drive innovation for customers

• Training Needs Analysis & Strategy: Conduct training needs analyses across WPM digital tools and platforms to identify skill gaps, adoption barriers, and content priorities. Develop training roadmaps aligned to platform releases, pilot deployments, and full-scale rollouts. Partner with the Operations Enablement & Solutions Lead to prioritize training investments based on business impact. • Training Content Development: Design and develop training materials — including e-learning modules, job aids, quick-reference guides, facilitator guides, and video walkthroughs — for Corrigo, WPOS, and other WPM digital tools. Translate technical platform documentation and requirements into learner-friendly content tailored to field, account, and administrative audiences. Maintain a centralized, version-controlled library of training assets that stays current with platform updates and enhancements. • Training Delivery & Facilitation: Deliver engaging live and virtual training sessions using a variety of instructional techniques suited to diverse learner populations. Facilitate train-the-trainer sessions to build sustainable, scalable training capability across account teams. Support onboarding of new users during platform migrations, pilot deployments, and system go-lives. • Digital Tools & Platform Enablement: Serve as the training subject matter expert across the WPM digital toolset, including Corrigo, WPOS AI agent tiles (e.g., Invoice Reminder, Invoice Approval), Power BI, SharePoint, and Teams. Partner with platform owners and technology teams to stay current on new features, configuration changes, and upcoming releases. Support Business Readiness Testing (BRV) and UAT activities by capturing training-relevant findings and translating them into content updates. • AI-Enabled Training Efficiency: Apply AI tools to accelerate the development, updating, and localization of training content, reducing time-to-deployment for new materials. Identify opportunities to use AI-powered authoring, summarization, and content-generation tools to scale training output without sacrificing quality. Stay current on emerging AI capabilities relevant to learning and development, and recommend tools that improve training efficiency and effectiveness. • Training Effectiveness & Continuous Improvement: Evaluate training effectiveness through assessments, learner feedback, and adoption metrics; use findings to refine content and delivery methods. Analyze training and support data to identify recurring knowledge gaps and proactively address them with updated content. Continuously benchmark training practices against industry trends in adult learning and digital enablement. • Cross-Functional Collaboration & Stakeholder Engagement: Collaborate with subject matter experts, account operations leads, and technology partners to ensure training accuracy and relevance. Partner with the Operations Enablement & Solutions Lead on change management initiatives, ensuring training is integrated into broader technology deployment and adoption plans. Represent training priorities and learner feedback in cross-functional planning discussions.