AnewHealth is a national medication management and pharmacy care provider committed to delivering transformative pharmacy solutions that elevate care and enhanc
Supervisor, Data Support
Location
United States
Posted
3 days ago
Salary
0
Seniority
Mid Level
Job Description
Supervisor, Data Support
AnewHealth
Role Description The Supervisor, Data Support is responsible for assisting in developing people, processes, and systems to ensure the accurate and timely entry of prescription data into the pharmacy management system. This role is critical to ExactCare operational success and plays a direct role in delivering on our improving health and providing peace of mind. The Data Support team ensures that prescription data is processed with exceptional precision, enabling seamless medication synchronization, accurate patient profiles, and timely fulfillment. This position requires a focus on quality control, performance metrics, people leadership, and cross-functional collaboration. Responsibilities - Build, lead, and develop a high-performing team of Data Support Technicians responsible for entering, reviewing, and validating prescription data into the pharmacy management system. - Support oversight of workflow of all data entry processes to ensure timeliness, accuracy, and adherence to regulatory and operational standards. - Assist in monitoring daily productivity and quality metrics to ensure prescription data is processed efficiently and correctly to support the fulfillment of patient orders. - Conduct quality assurance protocols and audit processes to reduce errors and ensure compliance with industry standards. - Collaborate with Pharmacy Operations, IT, and other cross-functional teams to improve systems, tools, and data integration that enhance workflow and support scalability. - Help maintain training programs and process documentation to ensure consistency and effectiveness across the Data Support team. - Participate in continuous improvement efforts using data to identify trends, root causes, and opportunities for improved efficiency and data integrity. - Embody AnewHealth’s Core Values in all communications and interactions. - Other duties as assigned. Qualifications - High school diploma/GED required. - Certified Pharmacy Technician. - 1+ years of pharmacy operations or healthcare data leadership experience with Lead-level responsibility or greater. - Prior supervisory/people management experience. - Proven experience leading teams focused on data accuracy, workflow optimization, or prescription processing in a pharmacy or healthcare setting. - Strong understanding of pharmacy management systems, prescription processing, and medication data workflows. - Experience developing performance metrics, process documentation, and training programs. - Track record of improving operational performance through process improvement and people development. - High attention to detail, with the ability to manage complex data and workflow requirements. - Excellent communication skills with the ability to collaborate effectively across departments and with leadership. Requirements - This position is administrative in nature and will present physical demands requisite to a position requiring: hearing, seeing, sitting, standing, talking, and walking. - May be necessary to work extended hours as needed. - This is a full-time position with an expectation to work an average of 40 hours per week and be available outside of normal business hours to meet customer expectations on an ad-hoc basis. - This is a remote position. Benefits - Medical, dental, and vision coverage effective 1st of the month following date of hire. - Flexible spending. - Company-paid life insurance and short-term disability. - Voluntary benefits. - 401(k). - Paid Time Off and paid holidays.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
• Lead the migration to Microsoft Fabric. • Rebuild existing pipelines, workflows, and workspaces from our Azure environment. • Expand and scale the platform to create value for users. • Design and build ingestion for new sources, create and validate transformation code, and surface data in intuitive semantic layers. • Maintain and improve data trust. • Work in a medallion architecture. • Put engineering quality first. • Connect data to consumption. • Consider storage and lifecycle.
Data Engineer
SuperStaffComprehensive BPO, RPO, and Call Center Outsourcing Solutions for Growing Businesses
Role Description The Data Engineer will be part of the Professional Services team, working directly on customer implementations for our B2B sales intelligence platform, helping wholesale distributors get the most out of their data. This is a hands-on role where you'll build data pipelines, configure customer instances, troubleshoot data issues, and collaborate with Customer Success Managers to deliver high-quality solutions. - Data Ingestion & ETL: Build Python/SQL pipelines to ingest invoices, orders, and catalogs. - Perform historical backfills via SFTP/API and manage Airflow DAGs. - Instance Configuration: Set up custom fields, product filtering logic, and sales workflows. - Manage SSO and user provisioning for new rollouts. - AI-Augmented Engineering: Leverage AI coding assistants (Copilot, Cursor) and LLMs to accelerate Python/SQL script generation, data mapping, and debugging. Build ETL pipelines and manage Airflow DAGs. - Customer Communication & Projects: Act as a technical point of contact. Translate complex data issues into clear updates for customers. Own project milestones from kickoff to "Go Live." - Integration & Automation: Build Workato recipes and connect customer ERPs via APIs/webhooks to ensure real-time data flow. - QA & Troubleshooting: Triage HubSpot support tickets, debug data discrepancies in large data sets, and deploy production fixes. - Documentation: Maintain customer data mappings and internal technical runbooks. Qualifications - Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). - At least 3 years of experience in data engineering, ETL, or related roles. - Strong SQL skills for data analysis and validation. - Proficiency in Python scripting for data processing. - Familiarity with cloud platforms, preferably GCP (e.g., Cloud Storage, Cloud Functions). - Understanding of REST APIs, JSON/CSV data formats, and Git workflows. - Strong communication skills with the ability to explain technical concepts to non-technical stakeholders. Requirements - Experience with workflow orchestration tools (e.g., Apache Airflow). - Familiarity with integration platforms (e.g., Workato, Zapier). - Exposure to CRM tools (e.g., HubSpot, Asana). - Knowledge of eCommerce or sales data models (e.g., products, orders, opportunities). Technical Environment - Data & Analytics: Python, SQL, BigQuery, Looker. - Pipeline & Orchestration: Airflow, GCP (Cloud Storage). - Automation & Integration: Workato, webhooks, APIs. - Infrastructure: GCP, Kubernetes, GitHub Actions. - Systems & Tools: HubSpot, Salesforce, SFTP/FTP, ERP systems. - Project Management: Asana, GitHub. Benefits - Competitive Salary: COP $6,000,000. - Stability: Indefinite contract with all mandatory Colombian legal benefits. - Flexibility: 100% Work From Home (Remote only in Colombia). - Growth: Continuous training, development programs, and clear opportunities for professional advancement. - Culture: A collaborative, supportive, and diverse international team environment.
• Map, extract, cleanse, and transform data (patients, inventory, claims, orders, payers, etc.) • Lead and manage full-cycle data migrations from legacy DME or HME systems into NikoHealth’s platform • Collaborate with implementation consultants and product teams to ensure data accuracy and integrity • Troubleshoot and resolve data discrepancies during migration
Data Engineer
DataSpringDataSpring is the trusted data connector at the core of healthcare. For more than 25 years, we have powered the industry with the largest and most complete healthcare data foundation in the U.S., including more than 4.8 million provider data records sourced directly from providers and member data representing 75% of covered lives supplied by health plans. By improving how essential information flows across the system, DataSpring helps healthcare operate more efficiently, accurately, and with greater confidence.
Role Description The Data Engineer will support the design, development, and maintenance of data pipelines and data models that power DataSpring's analytics and data platforms. This role focuses on implementing scalable data solutions, ensuring data quality, and collaborating with senior engineers and stakeholders to deliver reliable data for reporting and analysis. This position provides an opportunity to build hands-on experience with Databricks, Azure SQL, and modern data engineering practices while contributing to enterprise data initiatives and discussions. The Data Engineer is a full-time, remote, exempt position and reports to the Sr. Director, Data Engineering & Architecture. Qualifications - 1–3 years of experience in a data engineering or analytics engineering role, including internships or academic projects. - Demonstrated success contributing to data modernization or migration initiatives in cloud environments. - Prior experience working with healthcare or other regulated data environments is highly desirable. - Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field. - Azure Data Engineer Associate or related certification (preferred). - Coursework or certification in AI/ML (preferred but not required). Requirements - Build and maintain ETL/ELT pipelines across Databricks, Azure SQL, and downstream gold-layer models supporting priority projects. - Support development and enhancement of enriched data models, including field-level enrichment logic, recency rules, and provider-level enrichment flags. - Assist in maintaining data logic, including reconciliation between source and target data sources and resolution of duplication and data discrepancies. - Assist in implementing medallion architecture patterns (bronze → gold), ensuring data quality, traceability, and performance at scale. - Support identification and resolution of systemic data quality issues, including null handling, soft deletes, authorization flags, and incorrect organizational mappings. - Support implementation of rules for data in collaboration with product, governance, and engineering stakeholders. - Assist in documenting (Confluence, mapping workbooks) to serve as a single source of truth for enrichment logic and data behavior. - Support collaboration with vendors and partners for vendors providing detailed queries, validation logic, and corrective guidance on upstream data issues. - Collaborate with product owners and engineering teams to ensure data models align with product defined use cases. - Support UAT and release readiness by preparing data, validating counts, and resolving last-mile data defects under tight timelines. Benefits - Competitive compensation and a comprehensive benefits package for full-time employees. - Medical, dental, and vision coverage. - 401(k) with company contributions and matching. - Paid parental leave. - Tuition assistance. - Generous paid time off. - Commitment to investing in our people and supporting professional growth over time. Company Description DataSpring is the trusted data connector at the core of healthcare. For more than 25 years, we have powered the industry with the largest and most complete healthcare data foundation in the U.S., including more than 4.8 million provider data records sourced directly from providers and member data representing 75% of covered lives supplied by health plans. By improving how essential information flows across the system, DataSpring helps healthcare operate more efficiently, accurately, and with greater confidence.
