What are the responsibilities and job description for the Senior Product Associate - AI Governance position at JPMorgan Chase?
Job Description
The Chief Data and Analytics Office is responsible for building enterprise-scale, cutting-edge platforms for Data Management & Analytics and AI/ML Operations that are used firm-wide by the JPMC workforce for Artificial Intelligence (including generative AI)/Machine Learning (AI/ML) development and Data Management.
As an AI & Data Governance Product Manager- Associate within our organization, you will understand, formulate and execute well designed, user friendly, product feature builds that encompass AI & Data governance frameworks, policies, and procedures. Your role is crucial in ensuring the ethical and compliant application of AI & Data technologies across the firm. You will be instrumental in integrating AI/ML & Data Management technology into the company's structure, adhering to sustainable best practices in compliance with JPMC technology, operational risk, and relevant regulations. Collaborating with cross-functional teams such as Firmwide CDO, data scientists, engineers, design, legal, compliance, and business units, you will work on AI & Data governance initiatives and ensure they align with regulatory requirements and industry best practices.
Job Responsibilities
- Design and implement product features that apply evolving AI & Data governance frameworks, policies, and procedures to ensure the ethical and responsible use of AI technologies across the organization.
- Ensure compliance with relevant AI & Data Management regulations, standards, and guideline, and emerging regulations.
- Identify, assess, and mitigate risks associated with AI & Data Management technologies, including data quality, data protection & privacy, bias, transparency, and accountability.
- Collaborate with cross-functional stakeholders such as Firmwide CDO, data scientists, engineers, legal, compliance, design and business units to integrate AI & Data governance practices into the AI/ML & Data development lifecycle
- Establish monitoring and reporting mechanisms to track compliance with AI & Data governance policies and identify areas for improvement.
- Present product/program updates, risk management and governance findings, and recommendations to senior leaders and stakeholders, ensuring transparency and accountability.
- Keep abreast of industry trends, regulatory changes, and emerging risks related to AI governance to proactively address potential threats.
Required qualifications, capabilities and skills
- 3 years of experience in product management, technology governance, risk management, or compliance within regulated industries such as financial services.
- Basic understanding of AI/ML (including generative AI) and data governance, MLOps, and technology governance/risk/compliance principles.
- Proven experience in business analysis to identify critical requirements by understanding complex and interdependent processes.
- Strong critical thinking and problem-solving skills, with the ability to identify and mitigate risks effectively.
- Excellent presentation and communication skills, with the ability to convey complex information to senior leaders and stakeholders.
- Proven ability to collaborate effectively across cross-functional teams and build strong working relationships.
Preferred qualifications, capabilities and skills
- Experience with public cloud platforms (e.g., AWS, GCP, Azure) is a plus.
- Certifications in AI governance, data governance, or related fields.