Tech Risk & Controls Lead - Continuous Controls Monitoring

JPMorgan Chase & Co.; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX, invites an experienced Tech Risk & Controls Lead within CTO - Identity Access Management to drive risk-based controls and improve operational resilience across critical technology platforms.

You will oversee CCM programs, leverage AI and data analytics, collaborate with Product, Data, and Reg teams, and guide a team to deliver timely risk insights and audit-ready reporting.

Qualifications

• 5+ years of experience in technology risk management, cybersecurity, or a related field with regulatory focus.

Responsibilities

• Ensure effective identification, quantification, communication, and management of technology risk, focusing on root cause analysis and resolution recommendations
• Uses enterprise-authorized AI capabilities within the work environment to accelerate synthesis of risk/control evidence and draft executive-ready reporting, validating outputs and handling data according to sensitivity and security requirements
• Execute reporting and governance of controls, policies, issue management, and measurements, offering senior management insights into control effectiveness and inform governance work
• Develop, implement, and manage Continuous Control Monitoring (CCM) capabilities to automate control testing, identify control exceptions, and provide near real-time visibility into control performance and risk trends
• Proactively monitor and evaluate control effectiveness, identify gaps, and recommend enhancements to strengthen risk posture and regulatory compliance
• Design and oversee automated monitoring routines, exception management processes, and remediation workflows across Identity and Access Management
• Leverage data analytics to identify patterns, anomalies, control weaknesses, and emerging risks across systems, processes, and access management activities
• Partner with Data, Technology, and Product teams to define data requirements for control monitoring, improve data quality, and enhance reporting and monitoring capabilities
• Evaluate and leverage AI, machine learning, and advanced analytics capabilities to enhance risk detection, predictive monitoring, control automation, and operational efficiency
• Promotes reuse-first, AI-assisted approaches to streamline recurring control testing and issue/action-plan management routines, ensuring human review and alignment to auditability and regulatory expectations

Skills

Technology risk

Cybersecurity

AI risk mgmt

Data analytics

Power BI

SQL

Python

Regulatory compliance

Leadership

Communication

Tools

Power BI

Tableau

Alteryx

SQL

Python

Job description

Join our team to play a pivotal role in mitigating tech risks and upholding operational excellence, driving innovation in risk management. As a Tech Risk & Controls Lead in the Chief Technology Office (CTO) - Identity Access Management, you will be responsible for identifying, and mitigating compliance and operational risks in line with the firm's standards. You will also provide subject matter expertise and technical guidance to technology-aligned process owners, ensuring that implemented controls are operating effectively and in compliance with regulatory, legal, and industry standards. By partnering with various stakeholders, including Product Owners, Business Control Managers, and Regulators, you will contribute to the reporting of a comprehensive view of technology risk posture and its impact on the business. Your advanced knowledge of risk management principles, practices, and theories will enable you to drive innovative solutions and effectively manage a diverse team in a dynamic and evolving risk landscape.

In addition, you will lead the development and maturation of the IAM organization's Continuous Control Monitoring (CCM) program, leveraging data analytics, automation, and Artificial Intelligence (AI) capabilities to strengthen risk management, improve control effectiveness, and provide proactive identification of emerging risks.

Job responsibilities

• Ensure effective identification, quantification, communication, and management of technology risk, focusing on root cause analysis and resolution recommendations
• Uses enterprise-authorized AI capabilities within the work environment to accelerate synthesis of risk/control evidence and draft executive-ready reporting, validating outputs and handling data according to sensitivity and security requirements
• Execute reporting and governance of controls, policies, issue management, and measurements, offering senior management insights into control effectiveness and inform governance work
• Develop, implement, and manage Continuous Control Monitoring (CCM) capabilities to automate control testing, identify control exceptions, and provide near real-time visibility into control performance and risk trends
• Proactively monitor and evaluate control effectiveness, identify gaps, and recommend enhancements to strengthen risk posture and regulatory compliance
• Design and oversee automated monitoring routines, exception management processes, and remediation workflows across Identity and Access Management.
• Leverage data analytics to identify patterns, anomalies, control weaknesses, and emerging risks across systems, processes, and access management activities.
• Partner with Data, Technology, and Product teams to define data requirements for control monitoring, improve data quality, and enhance reporting and monitoring capabilities, to drive continuous improvement initiatives that reduce manual control testing, improve issue identification, and increase the efficiency and effectiveness of the control environment
• Evaluate and leverage Artificial Intelligence (AI), machine learning, and advanced analytics capabilities to enhance risk detection, predictive monitoring, control automation, and operational efficiency
• Promotes reuse-first, AI-assisted approaches to streamline recurring control testing and issue/action-plan management routines, ensuring human review and alignment to auditability and regulatory expectations

Required qualifications, capabilities, and skills

• 5+ years of experience or equivalent expertise in technology risk management, cybersecurity, or a related field, with a focus on regulatory compliance and risk mitigation
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support technology risk and controls workflows with strong validation habits and awareness of data sensitivity
• Ability to review and validate AI-assisted risk summaries and recommendations before use, escalating when uncertain and ensuring outcomes align to security, auditability, and regulatory expectations
• Experience designing, implementing, or overseeing Continuous Control Monitoring (CCM) programs, automated controls testing, or continuous auditing capabilities
• Familiarity with risk management frameworks, industry standards, and financial industry regulatory requirements
• Proficient knowledge and expertise in data security, risk assessment & reporting, control evaluation, design, and governance, with a proven record of implementing effective risk mitigation strategies
• Strong analytical skills with experience leveraging data to identify trends, anomalies, and process improvement opportunities.
• Experience working with data analytics, reporting, and visualization tools such as Power BI, Tableau, Alteryx, SQL, Python, or similar technologies
• Knowledge of AI, machine learning, generative AI, and emerging technologies, including their application within risk management, controls, and governance functions
• Ability to translate complex analytical findings into actionable recommendations and executive-level communications
• Demonstrated ability to influence executive-level strategic decision-making and translating technology insights into business strategies for senior executives

Preferred qualifications, capabilities, and skills

• CISM, CRISC, CISSP, or similar industry-recognized risk and security certifications preferred
• Experience implementing Continuous Control Monitoring (CCM) solutions within ITGC, IAM, cybersecurity, SOX, regulatory compliance, or operational risk environments
• Experience developing executive dashboards, key risk indicators (KRIs), and automated risk reporting solutions
• Experience applying Artificial Intelligence, predictive analytics, or intelligent automation to improve control effectiveness, risk detection, operational resilience, or compliance outcomes
• Knowledge of AI governance, model risk management, responsible AI principles, and regulatory expectations related to AI-enabled technologies