Senior Internal Auditor - AI Enablement & Audit Analytics

WELLTOWER – REIMAGINE REAL ESTATE WITH US

At Welltower, we’re transforming how the world thinks about senior living and wellness‑focused real estate. As a global leader in residential wellness and healthcare infrastructure, we create vibrant, purpose‑driven communities where housing, healthcare, and hospitality converge. Our culture is fast‑paced, collaborative, and endlessly ambitious—guided by our mantra:
The only easy day was yesterday.

We’re looking for bold, independent thinkers who thrive on challenge, embrace complexity, and are driven to deliver long‑term value. Every team member is empowered to think like an owner, innovate fearlessly, and lead from where they stand. If you’re passionate about outcomes and inspired by the opportunity to shape the future of healthcare infrastructure, we want you on our best‑in‑class team.

The Staff/Senior Internal Auditor – AI Enablement & Audit Analytics is an individual contributor role responsible for traditional Internal Audit activities and enabling the Internal Audit function through artificial intelligence, advanced analytics, and automation. The role focuses on delivering a balanced scope: approximately 50% of time performing standard audit activities (risk assessment, walkthroughs, control testing, workpaper documentation, issue validation, and reporting) and approximately 50% of time on AI enablement and audit analytics (developing and applying AI/analytics techniques, reusable tests, and automation to enhance audit planning, testing, and reporting), while ensuring AI‑assisted audit work remains accurate, reproducible and well‑documented, and consistent with professional audit standards.

This position does not have people‑management responsibilities and operates under the direction of audit managers and directors.

• Participate in audit planning, including understanding process risks and supporting scope/objectives.
• Perform walkthroughs and document processes/controls; evaluate control design and operating effectiveness.
• Execute audit testing, document procedures and results in work papers, and maintain clear audit trails.
• Identify and evaluate control gaps and process improvement opportunities; support issue validation and remediation follow‑up.
• Support the preparation of audit deliverables and reporting, including drafting observations and summarizing results for management.

• Apply AI, machine learning, and advanced analytics techniques to support audit procedures, including:
• Risk assessment and audit planning support
• Population analysis and anomaly identification
• Continuous auditing and monitoring activities
• Audit documentation and reporting support
• Develop repeatable analytic tests (e.g., exception testing, outlier/trend analysis, threshold‑based monitoring) and reusable assets (e.g., scripts/notebooks, standardized workpaper templates, dashboards) to scale adoption across audits.
• Execute AI‑assisted audit testing and clearly document methodologies, assumptions, and results.
• Document data sources, transformation logic, prompts/parameters (if applicable), limitations, and validation evidence supporting conclusions.

• Follow established Internal Audit standards and procedures for the use of AI and analytics in audit work.
• Perform validation checks and reasonableness testing over AI‑generated outputs before use in audit conclusions.
• Maintain appropriate human judgment and professional skepticism when using AI‑assisted audit techniques.
• Maintain an appropriate audit trail for AI/analytics‑enabled work, including retention of prompts (if applicable), tool/model versions, datasets used, and key assumptions.
• Apply data confidentiality and access control requirements and use only approved tools and environments; reconcile AI‑supported outputs to source data when applicable.

• Support the integration of AI and analytics into Internal Audit methodologies, templates, and work papers.
• Assist with testing and piloting new AI‑enabled audit tools and techniques.
• Provide feedback on the effectiveness, limitations, and risks of AI tools…