JPMorgan Data Assurance - Management Governance Vice President 

United States, California, Palo Alto 

861842517

As a Data Assurance Vice President in the Data Management team you will act as a subject matter expert, supporting business decisions, maintaining a strong risk and control environment, overseeing risks, monitoring control effectiveness, and recommending improvements. The role also requires innovation in governance and controls around data risks, and the use of problem-solving skills to improve established processes for a digital experience

Job Responsibilities

• Promote the controlled use of AI/ML/LLM technologies by establishing guidelines that holistically consider the lifecycle of development and risks associated with data, privacy, fairness, accountability, transparency, and ethical usage of data
• Develop and enforce policies and standards for the development, deployment, and operation of AI/ML/LLM systems to support compliance with relevant regulations and industry best practices
• Lead and assist in identifying, assessing, and mitigating risks associated with AI/ML/LLM systems by conducting risk assessments, evaluating actions taken to monitor model performance, and monitoring for potential biases, hallucinations, or unintended consequences
• Oversee the completion of supports and issues surrounding the validation and monitoring of AI/ML models to ensure they are accurate, reliable, and perform as expected
• Participate and lead governance forums and working groups comprised of cross-functional teams to establish governance and control ecosystem for AI/ML/LLM development
• Develop, deliver and support awareness programs to stakeholders on AI/ML/LLM risks, controls, and best practices to strengthen workforce comprehension and execution of data assurance requirements
• Partnering with Digital Data Product Risk and Control officers to complete Product risk and control assessments to incorporate analysis of data risks
• Assist in defining the strategy, priorities and execution of Data Assurance governance and control frameworks including supporting the design of end-to-end solutions for implementation and oversight of risks and control

Required Qualifications, Capabilities and Skills

• 10+ Years Financial services or technology industry experience in data management, technology development/data science, risk and controls management with a strong ability to evaluate adequacy of business risk and control environment
• Bachelor's or Master's degree in computer STEM or related certifications
• At least 5 years of experience in either data science and emerging technologies with deep understanding of AI/ML concepts and technologies
• Knowledge of technology control and risk management concepts with the ability to evaluate controls, procedures, and process flows in conjunction with business and control partners

Preferred Qualifications, Capabilities and Skills:

• Ability to assess and mitigate potential risks, biases and ethical concerns in AI/ML systems
• Process analysis and design acumen – ability to understand a process and associated risk to inform control design
• Strong presentation skills, including generating presentations and effectively communicating to senior management
• Experience in data management tools (Collibra, Atlassian, JIRA and Confluence)