Control Manager Lead, HR Data & AI Controls, Executive Director

As an Executive Director, Control Manager within HR Control Management (HR/EX CDAO-aligned), you drive end-to-end controls coverage across the HR/Ex (experience) data and analytics lifecycle.

You translate enterprise risk expectations into pragmatic, measurable standards that are embedded "by design" into delivery.

You will lead governance, escalation, and issue remediation to keep controls audit-ready and responsive to emerging AI and agentic risks.

You will establish and maintain a forward-looking control framework, building strong partnerships with HR/EX CDAO and broader HR stakeholders in a highly matrixed environment, strengthening governance and controls for HR data management, HR data products, and HR use of AI/ML capabilities as usage expands.

HR Control Management (CM) maintains a strong and consistent control environment through a joint accountability model and focuses on four areas: Risk Identification & Assessment, Control Design & Evaluation, Issues & Control Deficiencies, and Control Governance & Reporting.

The team partners closely with HR/EX Data & AI and data product stakeholders to drive consistent data governance, operational discipline, and evidence-based controls across sensitive HR/EX data assets.

Job Responsibiliities:


* Ensure critical HR/EX data assets have clear accountability, documented controls, and measurable health metrics through effective data controls governance.


* Partner with HR Data & AI leaders to identify and assess risks, providing control design expertise to mitigate data- and AI-related risks.


* Ensure controls are embedded "by design" into the data and analytics delivery lifecycle, including change management, access provisioning, data quality controls, lineage and metadata management, and ongoing lifecycle performance and resiliency considerations for critical HR/EX data assets.


* Work in partnership with the Data product to design and operationalize processes from a risk management perspective, ensuring appropriate controls, documentation, data dictionaries/definitions, and evidence capture aligned to firmwide requirements.


* Partner closely with HR CDAO stakeholders to establish oversight aligned to AI and model usage growth, including appropriate guardrails for development, validation, monitoring (including monitoring of data drift, data quality degradation, and upstream dependency health for high-impact HR/EX data products), and use-case change control.


* Ensure the control environment adapts to agentic AI patterns, including workflow autonomy, toolchain dependencies, prompt and context handling, and monitoring expectations appropriate to risk.


* Provide governance leadership, including preparing control materials for senior forums, delivering clear risk narratives, and escalating material control gaps with proposed remediation paths and interim risk acceptance recommendations when appropriate.


* Partner with accountable stakeholders in the control issue ...