• Define and maintain enterprise data architecture standards across structured, semi-structured, and unstructured data domains — with deliberate design for AI/ML workloads, including feature stores, vector databases, and embedding pipelines. • Use AI-assisted modeling tools to accelerate data model design, evaluate architectural trade-offs, and validate designs against business requirements before committing to implementation. • Design and govern the organization's cloud data lake, data warehouse, and lakehouse architectures on AWS — ensuring they are optimized for both analytical and AI/ML consumption patterns. • Establish data ontology, taxonomy, and semantic layer standards that enable AI systems to reason over organizational data accurately and consistently. • Evaluate emerging data architecture patterns — including retrieval-augmented generation (RAG), real-time feature serving, and vector search — and build a roadmap for their adoption across Stellus Rx. • Design scalable data models and ELT/ETL pipeline architectures that support both traditional analytics and AI/ML model training and inference workloads. • Use AI code generation tools to accelerate the authoring and validation of data models, transformation logic, and pipeline configurations — replacing manual, repetitive design work with intelligent, AI-assisted development. • Define standards for data partitioning, indexing, caching, and storage optimization; use AI-driven performance analysis to continuously validate and improve architectural decisions. • Partner with Data Engineers to translate architectural blueprints into production-ready pipelines, providing hands-on guidance and AI-augmented design reviews. • Define and enforce data governance frameworks, data quality standards, and data contracts across the enterprise — using AI-powered data observability tools to automate quality monitoring and surface issues proactively rather than through manual review. • Ensure data architecture meets compliance requirements relevant to healthcare (HIPAA, SOC 2, NIST); use AI-assisted compliance tooling to continuously monitor for policy drift and streamline audit evidence generation. • Develop and maintain a master data management (MDM) strategy that ensures consistency, accuracy, and trustworthiness of critical data assets across systems. • Champion data privacy and security principles in architectural design, including data lineage tracking, access controls, and anonymization strategies for sensitive healthcare data. • Design data infrastructure that serves as the foundation for AI/ML initiatives — ensuring data is accessible, well-labeled, versioned, and structured to support model training, validation, and ongoing inference at scale. • Collaborate with data scientists and ML engineers to understand modeling requirements and translate them into data architecture decisions that reduce friction in the AI development lifecycle. • Use AI-assisted analysis to identify high-value data assets that are underutilized, and develop strategies to unlock their potential for analytics and AI-driven decision-making. • Partner with Business Intelligence and Product teams to ensure the data architecture supports self-service analytics, real-time dashboards, and AI-powered reporting capabilities. • Define and maintain data architecture standards, patterns, and best practices across the organization; use AI tools to generate, review, and keep documentation current with minimal manual overhead. • Mentor Data Engineers and Analysts, guiding them in applying architectural standards and AI-augmented data development practices. • Communicate architectural decisions, trade-offs, and roadmap recommendations clearly to both technical teams and executive leadership. • Stay current on emerging data technologies, AI/ML data infrastructure trends, and industry best practices; provide recommendations on adoption timing and implementation approach.

• Design and maintain data ingestion and transformation pipelines. • Integrate multiple data sources in various formats. • Ensure data quality, integrity, and reliability. • Optimize performance for high-volume data extraction processes. • Collaborate with technical teams using event-driven architectures.

• Projetar e desenvolver pipelines escaláveis e robustos de ingestão e transformação de dados em AWS; • Construir e sustentar arquitetura de dados moderna com organização em camadas para consumo analítico; • Integrar ambientes transacionais e diversas fontes corporativas à arquitetura de dados em nuvem; • Aplicar modelagem multidimensional Star Schema / Snowflake para suporte a Analytics e BI; • Garantir performance e escalabilidade por meio de particionamento estratégico, paralelismo e otimização de processamento; • Desenvolver e otimizar rotinas de transformação e processamento de dados com foco em eficiência e confiabilidade; • Automatizar processos com foco em reusabilidade, monitoramento e qualidade; • Atuar com governança, rastreabilidade e requisitos de segurança, auditoria e compliance; • Apoiar a evolução da arquitetura de dados em nuvem, garantindo boas práticas de engenharia e sustentação operacional.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Data Integration Specialist 1 develops, enhances, and provides insight for data integration and serves as a subject matter expert for healthcare claims analysis utilizing both technical expertise and business acumen. This role also provides consultative analytical support to internal and external customers on various projects and conducts detailed claims analysis, assists in model development, assists in statistical analysis, and ad-hoc reporting as prioritized by management. The position communicates the outcomes of analysis to business owners, senior management, and clients in a manner that adds insight and value. This role will spend time working independently, as part of a broader team, and will focus on specific deadlines as well as exceptional client service. Responsibilities - Identify data requirements to integrate new data sources. - Perform technical analytics to confirm data integration meets or exceeds defined expectations. - Contribute to the development of new user interface. - Act as company-wide subject matter expert (SME) for data / claims processing of client and internally derived data. - Recommend data efficiencies and usage across data platforms, including relational and non-relational databases and Hadoop-based data platforms. - Review current programs for opportunities to improve effectiveness and reduce risks/costs. - Assist in the development of processes/architecture to combine healthcare claims data into integrated data platforms and promote data integration standards and best practices. Consulting - Evaluate data and provide insights and recommendations to stakeholders. - Partner with internal leaders. Understand corporate and client objectives and contribute to the identification and prioritization of upcoming initiatives. - Effectively communicate technical / analytic information to business partners. - Mentor Cotiviti employees regarding data insights and best practices. - Conduct thorough qualitative and quantitative analysis of medical claims data sets. - Produce accurate and meaningful ad hoc reports from verbal and written requests. Other Related Responsibilities - Actively promotes and participates in process improvement. - Participate in the design and development of dynamic data quality monitoring tools to preemptively identify defective data. - Conduct detailed claims analysis and ad-hoc reporting as prioritized by management. - Produce work that reflects a focus on quality in consideration of the client's (internal and external) needs and qualitative self-review process. - Produce, validate and deliver regularly scheduled reports on a timely basis. - Identify all data issues and coordinate a resolution with the prospective client team. - Special projects (e.g., RFP support) System Upgrades, Re-Platforming, and technology uplift. - Sets appropriate expectations with internal and external clients while cultivating an image of professionalism and quantitative / qualitative excellence. - Available for occasional off-hours support for executive team members in the company as required. - Some travel will be required for this role (occasional to <5%). - Other duties as assigned or apparent. - Must have flexibility and willingness to participate in the work processes of an international organization, including conference calls scheduled to accommodate global time zones. - Must be able to sit and use a computer keyboard and monitor for extended periods. Qualifications - Bachelor's degree or higher in technical, computer sciences, or math discipline. - 3+ years working within large volume relational data sets, including data design and transformation (preferably by use of TSQL/PLSQL). - 1+ years of experience working with large volumes of medical claims data. - Knowledge of HCFA & UB04 data elements. - 1+ years of experience developing in Hadoop with hands-on knowledge of Oozie, Hive and/or Spark. - Advanced knowledge of Excel (Pivot Tables, Macro's, V Lookups, queries, advanced written formulas). - Organizational skills. - Attention to detail and accuracy. - Desire and capacity to learn new concepts and software. - Strong analytical and problem-solving ability. - Experience in a HIPAA-regulated environment. - Excellent written and verbal communication skills. - Comfortable speaking in front of a group, with clients, and working with physician executives. - Professional with ability to properly handle confidential information. - Ability to work well independently and in a team environment. - Ability to handle multiple tasks, prioritize and meet deadlines. - AWS / Cloud experience a plus. Preferred Skills - Knowledge of healthcare claims processing platforms a plus. - Knowledge of healthcare claims editing systems for correct coding a plus. - Experience with Dimensional Modeling a plus. - Knowledge of systems integration and architecture. Mental Requirements - Communicating with others to exchange information. - Assessing the accuracy, neatness, and thoroughness of the work assigned. Physical Requirements and Working Conditions - Remaining in a stationary position, often standing or sitting for prolonged periods. - Repeating motions that may include the wrists, hands, and/or fingers. - Must be able to provide a dedicated, secure work area. - Must be able to provide high-speed internet access/connectivity and office setup and maintenance. Compensation and Benefits Base compensation ranges from $85,000.00 to $105,000.00. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. - Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including: - Medical, dental, vision, disability, and life insurance coverage. - 401(k) savings plans. - Paid family leave. - 9 paid holidays per year. - 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. Application Information Date of posting: 3/10/2026. Applications are assessed on a rolling basis. We anticipate that the application window will close on 5/10/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected. Since this job will be based remotely, all interviews will be conducted virtually. #LI-Remote #LI-JB1