Keller Postman LLC

Attorney

• Review and analyze medical records to provide attorneys with a clear understanding of medical facts and issues pertinent to legal cases.
• Become a power-user of Keller Postman’s medical review platform and participate in ongoing enhancement conversations.
• Collaborate with third-party review teams, ensuring the accuracy and relevance of their work though quality control processes.
• Apply skills in teaching and training to educate third-party review teams on emerging case or medical trends.
• Educate attorneys and clients on medical matters related to the case, offering insights and clarifications as needed.
• Assist with preparation for and support during depositions, trials, or alternative dispute resolution (ADR) processes.
• Provide expert medical opinions and insights on cases involving medical malpractice, personal injury, Tort and other healthcare-related legal matters.
• Coordinate and manage medical-legal matters, including case evaluations, chronologies, and summaries of medical records.
• Work with attorneys to evaluate case strengths and weaknesses, including causation and damage issues
• Educate and train legal staff on medical terminology, procedures, and issues relevant to their cases.
• Provide support throughout discovery, depositions, trial, and other legal proceedings.
• Offer expert guidance on overall case health as viewed through quality of medical records retrieved and reviews worked.
• Routinely audit work across medical records as needed depending on case assignment(s).

Legal Nurse Consultant

Data Engineer

• Develop, construct, test, and maintain data architectures, including databases and large-scale processing systems.
• Design, build, and optimize data pipelines and ETL/ELT processes leveraging Snowflake and Azure Services.
• Develop and maintain Snowflake data warehouses, ensuring efficient data modeling, partitioning, and performance tuning.
• Implement data flow processes that automate and streamline data collection, processing, and analysis.
• Ensure data governance, quality, and security best practices across all data platforms.
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decisionmaking across the organization.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Provide operational support for existing data infrastructure and develop new solutions as needed.
• Monitor, troubleshoot, and optimize system performance in Azure and Snowflake environments.
• Support CI/CD pipelines and automation for data workflows and deployments.
• Keep current with industry trends and innovations in data engineering and propose changes to the existing landscape.

QA Engineer

• Implement and execute a complete Personal Injury Quality Assurance program.
• Foster a culture of exceptional service delivery among employees.
• Participate in formulating and establishing policies for Personal Injury Case Management teams.
• Help answer client phone calls, emails, and SMS during high backlog periods.
• Design call monitoring procedures and quality standards.
• Monitor inbound and outbound communications to assess customer service skills.
• Review calls and audit for accuracy against protocols.
• Analyze trends in client withdrawals and suggest improvements.
• Compile and track performance data utilizing data management systems.
• Identify training needs and collaborate with the training team.

Personal Injury Quality Assurance Analyst

Manager

• Manage trafficking of all creative assets (TV, radio, outdoor, digital, streaming, etc.) to stations, networks, and vendors.
• Maintain up-to-date traffic and rotation calendars by market and media type.
• Ensure correct creative versions, tags, and legal disclaimers are delivered on schedule.
• Communicate with media buyers, stations, and internal stakeholders to confirm receipt, airing, and performance of creative assets.
• Track creative expirations, talent usage, and legal clearance timelines.
• Coordinate updates and revisions for campaign launches, renewals, and new creative rollouts.
• Maintain internal filing and asset management systems for all creative materials.
• Support the marketing team with reporting, verification logs, and campaign proof of performance as needed.
• Identify and resolve trafficking or scheduling errors proactively.

Traffic Manager

Business Analyst

• Extract and analyze data from various sources, such as case management systems, client databases, and financial records.
• Identify trends, patterns, and opportunities for improving operational performance.
• Evaluate and document existing workflows within the Intake Department.
• Propose and implement optimization strategies to enhance operational efficiency and streamline processes.
• Assist in planning and tracking projects related to technology upgrades or process changes.
• Collaborate with stakeholders to understand business needs and gather detailed functional requirements for new systems, features, or enhancements.
• Develop comprehensive documentation, including business requirements, use cases, and technical specifications.
• Create and maintain Standard Operating Procedures (SOPs) for intake operations.
• Generate detailed reports and dashboards using tools like Excel or Sigma to provide actionable insights to decision-makers.
• Communicate findings and recommendations effectively through data visualizations.
• Partner with IT teams to ensure seamless integration of new systems or enhancements into existing workflows.
• Participate in User Acceptance Testing (UAT) to validate functionality and ensure user needs are met.
• Analyze client feedback and identify opportunities to enhance service delivery and improve the overall client experience.

Business Analyst – Intake

QA Automation Engineer

• Design, build, and maintain automation utilities and scripts using C# and Azure services.
• Integrate Azure OpenAI capabilities into internal applications and workflows to enhance productivity and decision-making.
• Collaborate with attorneys, operations, and technology teams to identify manual processes that can be automated.
• Develop and maintain CI/CD pipelines and deployment scripts for automation projects.
• Write clean, scalable, and well-documented code; follow coding best practices.
• Troubleshoot, test, and support automation solutions to ensure reliability and performance.
• Continuously learn and experiment with new automation and AI tools available in the Azure ecosystem.

Automation Engineer

Data Analyst

• Design, build, and maintain dynamic reports and dashboards to support leadership, Intake, and legal operations teams.
• Perform analyses to drive insights and improve client experience across the client journey.
• Develop predictive models to forecast case signup volume and staffing requirements to maintain optimal service levels.
• Conduct productivity analyses to evaluate Intake team performance and identify areas for operational improvement.
• Translate complex data into actionable insights to drive strategic planning and daily decision-making.
• Work with cross-functional teams to understand reporting needs and develop scalable solutions.
• Ensure accuracy, integrity, and reliability of data used in reports and analyses.
• Document data definitions, methodologies, and reporting standards to support consistency and clarity across the organization.
• Collaborate with data engineering and IT to enhance data sources and improve reporting infrastructure.
• Other duties as assigned.

Data Analyst, Intake

• Develop, construct, test, and maintain data architectures, including databases and large-scale processing systems.
• Design, build, and optimize data pipelines and ETL/ELT processes leveraging Snowflake and Azure Services.
• Develop and maintain Snowflake data warehouses, ensuring efficient data modeling, partitioning, and performance tuning.
• Implement data flow processes that automate and streamline data collection, processing, and analysis.
• Ensure data governance, quality, and security best practices across all data platforms.
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
• Provide operational support for existing data infrastructure and develop new solutions as needed.
• Monitor, troubleshoot, and optimize system performance in Azure and Snowflake environments.
• Support CI/CD pipelines and automation for data workflows and deployments.
• Keep current with industry trends and innovations in data engineering and propose changes to the existing landscape.