Partner with stakeholders across the organization to understand business challenges, analyze data, and design solutions that improve processes, systems, and decision-making.
Responsibilities
Lead business analysis activities for complex, enterprise-wide initiatives and process improvements.
Partner with stakeholders, subject matter experts, and senior leaders to identify business needs and recommend scalable solutions.
Analyze large datasets to generate insights, define requirements, and support data-driven decision-making.
Develop and maintain business analysis deliverables, including process maps, requirements, business cases, user stories, and documentation.
Support the design and implementation of reporting, analytics, and data solutions, including dashboards and KPI tracking.
Support Vizient pharmacy clients across GPO and Pharmacy Enterprise engagements by delivering data analysis, strategic recommendations, and operational improvements.
Compensation
The current salary range for this role is $88,900.00 to $155,500.00.
Responsibilities
Develop innovative, data-driven solutions and program offerings that enhance pharmacy financial and operational performance across diverse client environments.
Execute project plans across multiple client engagements, manage competing priorities, and ensure timely delivery of key milestones.
Facilitate client meetings, strategic discussions, project updates, and presentations.
Perform advanced data analysis, modeling, and benchmarking to translate complex datasets into actionable recommendations.
Partner with Spend Management, Analytics, and Pharmacy Leadership teams to identify opportunities that improve operational efficiency, clinical outcomes, and cost management.
Builds and delivers generative AI and agentic AI applications end to end, from prototype through production, and develops AI solutions on AWS using CI/CD practices.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Builds and delivers generative AI and agentic AI applications end to end, from prototype through production
Develops agentic workflows, including tool-using agents and multi-agent collaboration
Contributes to autonomous AI capabilities with appropriate guardrails, security controls, and responsible AI practices
Implements orchestration and Retrieval-Augmented Generation (RAG) pipelines and integrates AI solutions with internal systems
Builds and executes model and agent evaluations to measure and maintain solution quality
Lead Data Scientist responsible for leveraging data analytics, statistical modeling, and fraud detection techniques to identify suspicious activity, uncover fraud trends, and support fraud loss prevention efforts.
Compensation
The targeted base salary for this position is $120,700 to $180,900 per year.
Responsibilities
Analyzing data to identify fraud patterns, suspicious activity, and emerging fraud trends, and communicating findings to business stakeholders.
Supporting the development, testing, implementation, and ongoing optimization of fraud rules and detection strategies designed to mitigate fraud risk and losses.
Performing exploratory data analysis using structured and unstructured data sources to support fraud investigations and detection initiatives.
Developing analytical models, scorecards, and reporting solutions that improve visibility into fraud performance and operational effectiveness.
Writing and maintaining SQL, Python, SAS, or similar code to extract, transform, and analyze large datasets from multiple sources.
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