Join our Chief Data and Analytics Office 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 a Product Director - Data Governance within the Chief Data & Analytics Organization at JP Morgan Chase, you will lead the development of product strategies and major initiatives focused on Data Management governance frameworks, policies, and procedures. You will play a vital role in ensuring the ethical and compliant use of AI & Data Management technologies throughout the firm. Your responsibilities include integrating Data Management technology into the company's infrastructure while adhering to sustainable best practices in line with JPMC technology, operational risk, and relevant regulations. You will collaborate with cross-functional teams, including the firm-wide Chief Data Officer, data scientists, engineers, legal, compliance, and business units, to promote AI & Data Management governance initiatives that meet regulatory requirements and industry standards. Furthermore, you will oversee the local team to ensure effective delivery of risk and control measures, action plans, control processes, and preparations for audits and regulatory examinations.

 

Job responsibilities 

Drive product strategy informed by working backwards from LoBs to design and implement user friendly products that encompass comprehensive AI 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 guidelines, including GDPR, CCPA, and emerging regulations. Identify, assess, and mitigate risks associated with AI & Data Management technologies, including data quality, data protection & privacy, bias, transparency, and accountability. Leads the entire product life cycle through planning, execution, and future development by continuously adapting, developing new products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth Coaches and mentors the product team on best practices, such as solution generation, market research, storyboarding, mind-mapping, prototyping methods, product adoption strategies, and product delivery, enabling them to effectively deliver on objectives Owns product performance and is accountable for investing in enhancements to achieve business objectives Monitors market trends, conducts competitive analysis, and identifies opportunities for product differentiation Leads the CDAO Governance team in developing and executing product strategies for the firmwide platform.  Ensures alignment and consistent messaging across the Governance team’s portfolio.  Collaborates with cross-functional teams to align product strategy with business objectives.   

Required qualifications, capabilities, and skills 

10+ years of experience or equivalent expertise delivering products, projects, or technology applications within the AI & Data Governance area Extensive knowledge of the product development life cycle, technical design, data analytics and use of the cloud Proven ability to influence the adoption of key product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management Experience driving change within organizations and managing stakeholders across multiple functions Proven experience in product management at an executive level, within a large organization Exceptional strategic thinking and product development skills Ability to manage up and drive consistent messaging across diverse portfolios Excellent communication and leadership skills Practical and solution-oriented approach to problem-solving 

Preferred qualifications, capabilities, and skills 

Recognized thought leader within a related field Familiarity with the centralized Chief Data and Analytics Office operations Advanced degree in a related field (e.g., Computer Science, Business Administration) Demonstrated success in leading cross-functional teams and driving innovation