Audit Services Data Analyst Senior

Advocate Health•Charlotte, NC

4d•$44 - $66•Remote

About The Position

Provides advanced audit and data analytics leadership in support of the Audit Services portfolio, combining deep audit experience with analytic and emerging technology expertise. Supports audits throughout the full audit lifecycle and partners with Audit Services leadership to design, evaluate, and implement artificial intelligence capabilities within audit methodologies. Serves as a leader and subject-matter advisor to audit teams, senior auditors, and analysts, helping shape the use of analytics and AI across Audit Services. The role supports audits across a large, integrated healthcare system and covers healthcare operations, clinical environments, revenue cycle, compliance, fraud-related areas, and enterprise platforms such as Epic. It also helps develop a strategic blueprint for AI in the audit lifecycle, evaluates and pilots AI-enabled solutions, and assists with auditing AI solutions deployed across the enterprise. The position is fully remote only from specified states, with location in the Advocate Health footprint preferred. Limited travel to hospitals, physician groups, and other facilities is required. Relocation and visa sponsorship or transfer are not available.

Requirements

Bachelor’s degree in Accounting, Business, Finance, Information Systems, Computer Science, Data Analytics, Data Science, or a related field.
Five years of experience in data analytics, audit analytics, business analytics, or a related data-focused role.
Demonstrated experience performing audit analytics and supporting audits across the full audit lifecycle.
Prior exposure to artificial intelligence concepts, tooling, automation, or deployment of AI-enabled solutions.
Strong knowledge of internal audit practices, audit risk assessment, testing methodologies, and audit lifecycle execution.
Advanced proficiency in data analytics, including data extraction, transformation, analysis, and visualization.
Strong technical proficiency in SQL.
Experience working with large enterprise data environments and cloud data platforms such as Snowflake.
Working knowledge of AI concepts, AI governance, model risk considerations, and the use of AI within business and audit functions.
Demonstrated ability to audit AI-enabled processes and systems, including evaluating risks related to data quality, bias, explainability, and controls.
Strong leadership and mentoring skills, with the ability to guide, influence, and develop auditors, senior auditors, and analysts.
Excellent communication skills, including the ability to present complex analytic and AI-related concepts clearly to non-technical audiences.
Strong documentation, organizational, and time-management skills, with the ability to manage multiple priorities and initiatives.
Sound judgment, professionalism, and discretion when working with sensitive, confidential, or emerging-technology data.

Nice To Haves

Advanced or specialized coursework in analytics, technology, or artificial intelligence.
Audit or accounting certifications, such as CPA, CIA, CISA, or CFE.
Data analytics or data science certifications.
Artificial intelligence, machine learning, or automation-related certifications.
Healthcare, clinical, or regulatory certifications relevant to the organization’s operating environment.
Experience with Python, Power BI, Excel, and enterprise analytics tools.

Responsibilities

Lead and execute data analytics across all audit lifecycle phases, including pre-planning, planning, fieldwork, reporting, and follow-up.
Design risk-based analytic procedures, including full-population testing, targeted sampling, continuous auditing, and risk-triggered analytics.
Partner with audit teams to integrate analytics into audit planning, testing strategies, issue identification, validation, and reporting, taking healthcare-specific risks, data structures, and regulatory requirements into account.
Develop, review, and interpret analytic results and translate complex insights into clear, actionable conclusions for audit teams and leadership.
Create and maintain dashboards, reports, and visualizations for audit reporting, portfolio oversight, and leadership decision-making.
Provide day-to-day guidance, coaching, and oversight to auditors, senior auditors, and data analysts, supporting development of audit and analytic skills, including healthcare and Epic data skills.
Lead or support complex audits and analytics-heavy engagements requiring advanced judgment, coordination, and technical expertise, particularly those involving healthcare operations, clinical systems, or enterprise platforms such as Epic Clarity and Caboodle.
Partner with the Manager and Director of Audit Data Analytics to develop a strategic blueprint for applying AI across the audit lifecycle in the healthcare context.
Evaluate, pilot, and help design AI-enabled solutions for Audit Services, including controlled AI agents and automation, with appropriate controls for healthcare and clinical data environments.
Assist with auditing enterprise AI solutions, assessing governance, data integrity, model design, controls, ethics, regulatory compliance, and healthcare-specific privacy considerations.
Monitor emerging AI technologies and industry practices and advise audit leadership on practical applications in Audit Services and the healthcare industry.
Ensure analytic, AI-enabled, and audit work is documented according to Audit Services standards, quality expectations, and retention requirements.
Collaborate with data owners, IT partners, and business stakeholders to define data requirements, resolve data issues, and ensure appropriate use of enterprise data assets, including coordination with teams supporting Epic and other healthcare systems.
Contribute to audit analytics standards, methodology enhancements, and continuous improvement initiatives across the Audit Services portfolio.