Product Director - Product Management
JPMorganChase
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.
Ignite your passion for product innovation by leading customer-centric development, inspiring solutions, and shaping the future with your strategic vision and influence.
As an AI & Data Governance Product Manager-Executive Director within our Chief Data and Analytics Office organization, you will take the lead in driving product strategy and large product initiatives that encompass AI & Data Management governance frameworks, policies, and procedures. Your role is crucial in ensuring the ethical and compliant application of AI & Data Management technologies across the firm. You will be instrumental in integrating AI/ML and 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, legal, compliance, and business units, you will spearhead AI & Data Management governance initiatives and ensure they align with regulatory requirements and industry best practices. Additionally, you will manage the delivery of risk and control issues, 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
- Significant 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 (CDAO) operations
- Advanced degree in a related field (e.g., Computer Science, Business Administration)
- Demonstrated success in leading cross-functional teams and driving innovation
About Us
About the Team
Similar Jobs