Key Responsibilities
· Apply advanced analytics, statistical modeling, and machine learning to produce actionable insights that support compliance monitoring, auditing, and risk assessment.
· Develop scalable, automated data products and pipelines to improve audit and compliance processes. Stay current with new advances in AI, including generative and agentic AI applications.
· Access and analyze data from multiple enterprise systems (e.g., SAP, Concur, Salesforce.com) to identify patterns, trends, and anomalies in transactions.
· Partner with cross-functional teams across Compliance, Internal Audit, Commercial, R&D, and IS to design and deliver innovative analytics solutions.
· Develop and maintain familiarity with global healthcare compliance standards, U.S. Federal (e.g., Sunshine Act / Open Payments, CMS), state transparency regulations, and industry codes (e.g., PhRMA Code).
· Present complex analyses and insights clearly to diverse audiences, including senior stakeholders.
· Support priority projects and provide ad hoc analytics where needed.
Basic Qualifications
• Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 4–6 years of relevant experience • OR Master’s degree with 4+ years of relevant experience • OR Ph.D. in a relevant field with 2+ years of experience
Preferred Qualifications
· Strong proficiency in Python and SQL; familiarity with statistical programming and machine learning frameworks.
· Experience with data platforms such as Alteryx, Tableau, Databricks, SAS, or cloud-based solutions (AWS preferred).
· Demonstrated ability to work with structured and unstructured data, including text and natural language processing.
· Hands-on experience with data visualization and building intuitive dashboards for non-technical audiences.
· Familiarity with AuditBoard or similar governance, risk, and compliance tools is a plus.
· Proven ability to thrive in a team-oriented, cross-functional environment with strong communication skills.
· Innovative mindset with a passion for leveraging emerging AI technologies in compliance and audit contexts.
· Detail-oriented, proactive, and comfortable managing multiple projects in a dynamic environment.