LivantaLLC

• Own program execution against contract milestones, deliverable schedule, resource management and performance standards across both autonomous coding and denials management workstreams • Lead kickoff, quarterly in-process reviews, governance forums, and stakeholder engagement activities including site visits to DHA facilities and pilot MTFs • Provide executive-level risk identification, escalation management, and corrective action planning • Drive cross-functional coordination between technology, data, clinical coding, revenue cycle, cybersecurity personnel • Oversee development and maintenance of all programmatic deliverables • Build and maintain positive working relationships with government stakeholders, manage expectations, and foster cross-organizational collaboration • Champion change management and user adoption across coder, revenue cycle, and clinical leadership communities • Ensure contractor compliance with DoD and DHA security, privacy, personnel, and reporting requirements

• Serve as a relationship lead focusing on understanding client goals, driving adoption of DHA capabilities, and identifying opportunities for optimization and growth. • Collaborate and partner with cross-functional teams to strategize and engage prospective clients to understand business challenges and deliver compelling presentations, solution demonstrations, proposals, and oral presentations that result in new business revenue. • Support execution of Commence's growth strategies, including effective and strategic qualification of opportunities. • Maintain regular contact with senior and executive-level decision makers, including DHA directorate leads and Service medical command leadership.

• The Data Scientist combines advanced analytics and machine learning with deep domain knowledge to generate clinical and operational insights, build predictive models, and support decision-making across the healthcare ecosystem. • Prepare and analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions. • Develop, implement, and optimize machine learning models, including Generative AI, for predictive analytics, classification, and other applications. • Apply statistical techniques to analyze data and build models that forecast future trends and behaviors (e.g., risk stratification, disease progression, readmission likelihood). • Create compelling data visualizations and dashboards to effectively communicate findings and insights to stakeholders. • Connect and match within and across data sources both internal/ external to augment and enhance analyses. • Work closely with cross-functional teams, including data engineers, software developers, and business analysts, to gather requirements and deliver data solutions. • Stay current with industry trends and advancements in data science and integrate new techniques and tools into existing workflows. • Identify, review, and execute impactful analytical approaches from industry whitepapers. • Translate complex data into actionable insights to support clinical decision-making, care optimization, and operational efficiency, often through dashboards or reports. • Collaborate with clinicians, informaticists, and SMEs to derive relevant features from health data, such as comorbidity indices, lab value trajectories, or time-to-treatment measures. • Ensure data use complies with HIPAA, 42 CFR Part 2, and other applicable regulations. • Apply de-identification, data masking, or differential privacy techniques when needed. • Help define and sometimes implement workflows for data acquisition, preprocessing, and model inference pipelines, often in cloud-based environments (e.g., AWS, Azure). • Identify and mitigate potential biases in data or models, and ensure outputs are interpretable by clinical or policy stakeholders. • Monitor model performance over time and retrain or recalibrate as necessary to maintain accuracy and relevance in evolving clinical environments.

• Serve as a relationship lead focusing on understanding client goals • Drive adoption of CMS capabilities • Identify opportunities for optimization and growth while maintaining strong, trust-based client partnerships • Support market expansion, align solution to CMS priorities and help implement our growth strategy • Build and maintain relationships within CMS and target centers, departments and executives • Collaborate and partner with cross-functional teams to strategize and engage prospective clients • Deliver compelling presentations, solution demonstrations, and proposals • Engage in negotiations with prospective clients and teaming partners • Maintain regular contact with senior and executive-level decision makers to ensure alignment

• Design and implement health data integration strategies across complex healthcare ecosystems. • Serve as the bridge between clinical stakeholders and engineering teams, translating business requirements into scalable technical architectures. • Lead discovery sessions with clients and stakeholders to understand data needs, workflows, and system landscapes. • Define scalable ingestion and normalization pipelines for clinical, claims, and administrative data. • Develop technical specifications, data flow diagrams, and integration roadmaps. • Implement and optimize data exchanges using HL7 v2, FHIR R4, C-CDA, X12 EDI, and other healthcare standards. • Design FHIR-based APIs and ensure compliance with regulatory frameworks such as USCDI, ONC, and HIPAA. • Evaluate build vs. buy decisions and recommend appropriate technologies. • Collaborate with data teams to design performant data models for analytics and reporting.

• Supports tracking and reconciliation of communication requests from external parties. • Determine appropriate responses based on investigation of dispute to formulate an appropriate response. • Supports tracking and reconciliation of case reviews/disputes. • Conducts research to ensure practices are compliant with the Federal IDR process.

• Supports tracking and reconciliation of case reviews/disputes, ensuring timely and accurate processing and monitoring of the work queues and correspondence. • Assists in developing and refining workflows, templates, and documentation tools that support the review process and reporting functions. • Conducts research to ensure practices are compliant with the Federal IDR process. • Perform research and analysis for any disputes or discrepancies with parties regarding disputes. • Audit and review the IDR process to ensure data accuracy. • Use critical thinking to define problems, identify root causes, and recommend solutions. • Reconciles and updates portals to ensure accurate entry of dispute information. • Stay up-to-date on CMS NSA Guidelines and adapt to changes in the No Surprise Act. • Adhere to all relevant compliance regulations (Health Insurance Portability and Accountability Act, Federal Information Security Management Act, URAC, Centers for Medicare & Medicaid Services, Federal Acquisition Regulation (FAR)). • Complete other duties as assigned.

• Independently reviews, assigns, and abstracts diagnostic and procedural codes • Performs validation of HWDRG reviews and maintains coding accuracy • Interacts with physicians and educators regarding coding decisions • Composes letters to providers explaining review details

• Mine and track federal contracting opportunities using various intelligence sources • Qualify and vet opportunities against Commence’s capabilities • Maintain federal opportunity pipeline in Salesforce CRM • Support proposal development efforts

• Responsible for designing, building, and maintaining efficient, scalable, and fully automated data pipelines and architectures that support various business needs • Design, develop, and maintain scalable data pipelines to collect, process, and transform data from various sources • Integrate data from multiple sources, ensuring data quality and consistency across the organization • Build and maintain data storage solutions, including data warehouses and data lakes, ensuring optimal performance and reliability • Implement data transformation and enrichment processes to prepare data for analytics and reporting • Leverage cloud technologies, particularly AWS, to optimize and manage data infrastructure • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions • Create and maintain comprehensive documentation for data pipelines, data models, and related processes • Mentor and guide junior data engineers/analysts on data engineering best practices and industry standards