Control Manager - Chief Analytics Office - Executive Director

JPMorgan Chase & Co.•Jersey City, NJ

46d

About The Position

Controls is a key function within financial institutions and large organizations, including JPMorgan Chase. Its primary purpose is to ensure that the organization operates within established policies, procedures, and regulatory requirements, minimizing risks and safeguarding assets of the firm. As a Control Manager - Executive Director supporting the Firmwide Chief Analytics Office (CAO), you will oversee risk management practices for CAO's strategic AI/ML services and platforms (e.g., LLM Suite), ensuring adherence to the firm's Compliance & Operational Risk Evaluation (CORE) Program. You will support CAO to embed robust change management practices and controls, managing Risk Assessment Structures (RAS) within the CORE system, strengthen compliance with firmwide Policies and Standards, and engage the CAO Control Manager community of practice. You will partner closely with the broader CDAO Control Management team and CAO business/control partners to effectively manage the operational risk environment for CAO.

Requirements

Minimum of 10+ years of financial services experience in controls, information security, audit, quality assurance, risk management, or compliance
Experience with estimation and AI/ML risk management practices, including risks related to various modelling techniques, Generative AI, Agents, and AI/ML development.
Ability to translate business requirements into control requirements for integration into product and service design.
Financial services experience in controls, information security, audit, quality assurance, risk management, or compliance; strong understanding of the three lines of defense model.
Solid understanding of Compliance and Operational Risk Management frameworks.
Sound judgment in risk assessment, work prioritization, senior leader engagement, and change management.
Experience leading cross-functional initiatives to analyze, design, and implement best practices.
Demonstrated leadership and judgment to influence a strong risk culture, including senior management presentations and exchanges.
Strong problem-solving and analytical skills; ability to synthesize large data sets and draw actionable conclusions.
Excellent written and verbal communication skills; able to articulate and explain business issues and controls effectively.

Nice To Haves

Business acumen and understanding of relevant regulations.
Professional certifications such as CISSP, CCSP, AWS, or similar are highly desirable.
Strong interpersonal, collaboration, and relationship-building skills; ability to build coalitions and influence with an end-to-end mindset.
Self-motivated and able to work autonomously; adaptable to shifting priorities and able to manage competing demands in a fast-paced, results-oriented environment.
Ability to manage ambiguity, make informed decisions, influence stakeholders, and justify decision-making.
Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint); ability to develop compelling executive presentations highlighting opportunities and recommendations for improvement.

Responsibilities

Ensure CAO services and platforms are developed with appropriate controls and in alignment with Artificial Intelligence (AI) Standards.
Engage CAO Product partners to review and understand key processes & practices, strengthen risk & control identification, support control testing (conducted by the Testing Center of Excellence), and drive rigorous issue management (in case of control breaks or gaps).
Partner with business and control stakeholders to develop risk and control management framework documents for mitigating risks relevant to AI/ML.
Lead risk and control assessments in partnership with control management and business teams (e.g., Operational Risk Summaries, Residual Risk Reviews).
Maintain and update key controls in CORE CAO content, and, where appropriate, across Lines of Business (LOBs) and Corporate Functions (CFs), leveraging strong knowledge of the CORE platform.
Oversee responsible introduction of changes, ensuring adherence to change management best practices.
Support the community of practice for AI/ML Analytics Control Managers across LOBs/CFs, including changes to standards, practices, common controls, and calibration.
Review and analyze reporting metrics to proactively identify emerging risks or themes; collaborate with business partners to enhance metrics for monitoring standards adherence and risk detection.
Support Chief Data & Analytics Office (CDAO) control management priorities, including preparation of materials and responses for regulatory queries and meetings.
Partner with Line of Defense stakeholders (Legal, Model Risk & Governance, Compliance, Operational Risk, Audit) to understand priorities, manage the control environment, and ensure successful Compliance/Operational Risk tests, audits, and regulatory exams.