Bulge Bracket Investment Banks

Vice President – Strategy Lead for Data Development Lifecycle (DDLC)

at J.P. Morgan

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted a month ago

No clicks

Compensation: Not specified
City: New York City
Country: United States

Senior strategy role in the Firmwide Chief Data Office to design and execute the Data Development Lifecycle (DDLC) across the firm. Lead creation of architecture, toolchains, user-centric processes, and control frameworks to enable safe, efficient, and scalable data development and deployment. Partner with business leaders, architects, engineers, and risk teams to manage end-to-end delivery from proof of concept to production and communicate recommendations to executive stakeholders. Requires deep data science experience, strong stakeholder management, and the ability to translate complex technical concepts into executive-level materials.

Location: New York, NY, United States

Join a firmwide team accelerating our data, analytics, and AI journey through highly governed, high-impact initiatives. In this role, you will help define how data is made available to power new products and AI models at scale. You will partner across lines of business and corporate functions to design architecture, toolchains, user-centric processes, and control frameworks that improve how data is developed and deployed—safely, efficiently, and at scale.

As a Vice President for Strategy Lead for Data Development Lifecycle (DDLC) in the Firmwide Chief Data Office, you will lead the development and execution of new architecture, tool chains, user-centric design, and control frameworks that transform the firm’s data development process from concept to delivery. You will partner with firmwide teams, lines of business, and corporate functions, oversee crucial aspects of the lifecycle, and engage leaders across the business. A background in data science or a related technical field and excellent written and oral communication skills are valued given the visibility of this role.

Job responsibilities:

Define the process for data development from the perspective of data practitioners across all lifecycle stages with clear roles and responsibilities

Partner with technology leaders to develop a firmwide reference architecture supporting data development and testing in controlled environments

Partner with risk management and controls to develop a control framework for managing data risks

Manage end-to-end delivery of changes to key platforms and toolchains supporting DDLC—from proof of concept through deployment

Collaborate and align with architects, data engineers, and technologists to achieve business outcomes

Identify opportunities for continuous development and improvement of the DDLC, ensuring changes are done safely and at scale

Demonstrate self-motivation and tenacity, working with a high degree of independence

Develop executive-level presentation decks, documents, and white papers to communicate complex concepts and recommendations

Communicate effectively across diverse stakeholders in decision-making and strategy implementation

Work in a highly collaborative, matrixed environment to build consensus

Assist in identifying, escalating, and mitigating project risks that could impair execution of the strategy

Required qualifications, capabilities, and skills:

7+ years’ experience in financial services, data/technology, or related consulting

Deep data science experience with consulting for end-to-end delivery and exceptional analytical, problem-solving, communication, and presentation skills

Ability to develop executive-level decks, documents, and white papers to communicate complex concepts and recommendations

Ability to work in a highly collaborative, matrixed environment to build consensus and excellent stakeholder management and coordination skills

Structured thinker and effective communicator with excellent written communication skills and ability to crisply articulate complex technical concepts to senior audiences

Deep domain expertise (knowledge of clients, products, services) coupled with deep expertise in the data (applications systems, BI and AI applications) used to manage and execute strategy across multiple business units

Strong knowledge of data mesh architecture and data product concepts

Preferred qualifications, capabilities, and skills:

Experience in roadmap creation and execution, aligning and leading business operations to strategic organizational goals

Strong understanding of AI/ML technologies and their application in data management/governance

Understanding of control and risk management concepts

Strong product management and project management skills

Drive firmwide data development strategy—architect tools, controls, and processes to enable safe, scalable data delivery.

Back to all Data Science / AI / ML jobs