• Lead data platform strategy and execution • Partner with the CDAO to shape overall data strategy and translate it into engineering roadmaps with clear owners, timelines, and outcomes • Own the Snowflake data lake end to end • Develop, maintain, and evolve the platform and its associated services — from ingestion to serving • Build governance that actually works • Drive cross-functional data initiatives

Role Description The Supervisor, Encounter Data Management develops business processes to ensure successful submission and reconciliation of encounter submissions to Medicaid/Medicare. Responsibilities include: - Ensuring encounter submissions meet or exceed all compliance standards via analysis of data. - Developing tools to enhance the encounter acceptance rate by Medicaid/Medicare. - Looking for long-term improvements of encounter submission processes. - Making decisions related to schedule, plans, and daily operations. - Performing escalated or more complex work of a similar nature. - Supervising a group of typically support and technical associates. - Coordinating and providing day-to-day oversight to associates. - Ensuring consistency in execution across the team. - Holding team members accountable for following established policies. - Ensuring data integrity for claims errors. - Collaborating with management and top professionals/specialists in the selection of methods, techniques, and approaches. You will report to the Manager, Encounter Data Management. Qualifications - 2+ years Medicare and/or Medicaid claims processing experience. - Internal and external error claim processing. - 2+ years of formal or informal leadership experience. - 1+ years' experience working in CAS, Edifecs, Optum, and similar DOS 835/837 warehouse systems. - 2 years+ of advanced Microsoft Excel (VLOOKUP, Pivot Tables, and ability to create macros). - 1 year+ SQL experience (running queries). Requirements - Demonstrated ability to give direction. - Proven ability to collaborate with multiple departments. - Ability to deliver presentations to senior leadership. Benefits - Medical, dental, and vision benefits. - 401(k) retirement savings plan. - Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave). - Short-term and long-term disability. - Life insurance. - Many other opportunities. Additional Information - Work-At-Home Requirements: Must have the ability to provide a high-speed DSL or cable modem for a home office. - A minimum standard speed for optimal performance of 25x10 (25mbps download x 10mbps upload) is required. - Satellite and Wireless Internet service is NOT allowed for this role. - A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. - Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. - Scheduled Weekly Hours: 40. - Pay Range: $65,000 - $88,600 per year, eligible for a bonus incentive plan based on company and/or individual performance.

Role Description This position works out of our Kansas City, Lake Forest, Willis Tower, or remote locations near an Abbott office in the eScreen Business Group in Abbott Rapid Diagnostics. We’re empowering smarter medical and economic decision-making to help transform the way people manage their health at all stages of life. Every day, more than 10 million tests are run on Abbott’s diagnostics instruments, providing lab results for millions of people. The AI / BI Engineer contributes to the design, development, and operation of analytics and AI‑ready data solutions on Azure. This role focuses on building reliable data pipelines, Lakehouse and Lakebase Postgres assets, and AI‑enabled applications under the guidance of senior and lead engineers, while developing deep expertise in Azure Databricks, BI, and AI foundations. This is an individual contributor role for someone that is ready to grow their skills in Abbott; we do not expect you to be an expert at this level. What You’ll Work On - Data & Lakehouse Engineering - Develop and maintain batch and streaming pipelines using Azure Databricks, PySpark, and SQL. - Contribute to Lakehouse and Medallion Architecture components supporting BI, AI, and operational workloads. - Assist in designing and maintaining Lakebase Postgres data models to support AI applications and agents. - Build curated datasets and semantic layers for Databricks AI/BI Dashboards, Genie Spaces, Power BI, and downstream consumers. - AI Platform & Application Support - Support Lakebase Postgres‑powered AI applications, ensuring data accuracy and reliability. - Contribute to Databricks Apps that surface analytics and AI insights to business users. - Assist with development and enhancement of AI agents, including data preparation and embedding pipelines. - Support ML workflows using MLflow and Azure ML integrations. - Contribute to generative AI pipelines such as embeddings, vectorized data, and RAG workflows. - Platform Operations & Collaboration - Monitor and troubleshoot pipelines and application workloads. - Follow established Unity Catalog, governance, and security standards. - Collaborate with BI developers, data scientists, and senior engineers to deliver business outcomes. Qualifications - Bachelor's degree in STEM related field or associate's degree in similar field and 7 years of experience in similar area. - 3 or more years of experience in similar area of expertise with bachelor's degree. Requirements - Preferred: Databricks Certified Generative AI Engineer Associate. - Azure: Familiarity with ADLS Gen2, Synapse/Data Factory, Key Vault, and cloud fundamentals. - AI & ML: Understanding of ML and generative AI concepts. - Programming: Proficiency in Python and SQL; exposure to PySpark preferred. - Databricks Platform: Working knowledge of Spark, Delta Lake, and Databricks Apps. - Lakebase Postgres & AI Foundations: Introductory experience with relational modeling and AI data access patterns. - Preferred: Databricks Certified Generative AI Engineer Associate. - Azure: Familiarity with ADLS Gen2, Synapse/Data Factory, Key Vault, and cloud fundamentals. - AI & ML: Understanding of ML and generative AI concepts. - Master's Degree in similar field. Benefits - Career development with an international company where you can grow the career you dream of. - Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. - An excellent retirement savings plan with a high employer contribution. - Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. - A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. - A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

• Support the design, integration, and maintenance of enterprise data systems that drive supply chain operations • Design and develop robust and efficient processes for extracting, loading and transforming data • Provide guidance in the analysis, design, development, troubleshooting, debugging and maintenance of an enterprise data management and data ecosystem • Identify, investigate, track, and resolve the most complex technical errors • Establish and enforce database standards, guidelines, procedures and quality assurance for database deliverables • Review and analyze data objects and models to improve data management and access • Create technical specification for supporting enterprise data transformation processes • Perform data profiling, source-target mappings, data transformation development, optimization, testing and implementation • Maintain the ETL environment for the company’s system-wide enterprise data warehouse