JPMorgan Vice President – Strategy Lead Data Development Lifecycle DDLC 

United States, New Jersey, Jersey City 

561241770

Join the Firmwide Chief Data Office at JPMorgan Chase, where you'll play a pivotal role in maximizing the value and impact of data globally. As a Vice President for Data Development Lifecycle (DDLC) Strategy, you'll support the development and execution of innovative architecture, tool chains, and control frameworks to enhance data development and deployment.

Job Responsibilities:

• Define the data development process across all lifecycle stages with clear roles and responsibilities.
• Collaborate with technology leaders to develop a firmwide reference architecture for data development and testing.
• Work with risk management to create a control framework for managing data risks.
• Manage end-to-end delivery of changes to key platforms and toolchains from proof of concept to deployment.
• Align with various departments and support groups to achieve business outcomes.
• Identify opportunities for continuous improvement of the DDLC, ensuring safe and scalable changes.
• Demonstrate self-motivation and independence in your work.
• Communicate effectively with stakeholders in decision-making and strategy implementation.
• Assist in identifying, escalating, and mitigating project risks.

Required qualifications, capabilities, and skills:

• 7+ years of experience in financial services, data/technology, or related consulting industry.
• Deep data science experience with consulting for end-to-end delivery.
• Advanced degree in business or technical/quantitative discipline.
• Structured thinker and effective communicator with excellent written skills.
• Strong stakeholder management and coordination skills.
• Ability to work collaboratively in a matrixed environment.
• Strong knowledge of data mesh architecture and data product concepts.

Preferred qualifications, capabilities, and skills:

• Experience in roadmap creation and execution, aligning business operations to strategic goals.
• Understanding of AI/ML technologies in data management/governance.
• Knowledge of control and risk management concepts.
• Strong product and project management skills.
• Deep domain expertise in data applications and strategy execution.
• Exceptional analytical, problem-solving, communication, and presentation skills.