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 responsibilitiesPartner with technology leaders to develop a firmwide reference architecture supporting data development and testing in controlled environmentsPartner with risk management and controls to develop a control framework for managing data risksManage end-to-end delivery of changes to key platforms and toolchains supporting DDLC—from proof of concept through deploymentCollaborate and align with architects, data engineers, and technologists to achieve business outcomesIdentify opportunities for continuous development and improvement of the DDLC, ensuring changes are done safely and at scaleDemonstrate self-motivation and tenacity, working with a high degree of independenceDevelop executive-level presentation decks, documents, and white papers to communicate complex concepts and recommendationsCommunicate effectively across diverse stakeholders in decision-making and strategy implementationWork in a highly collaborative, matrixed environment to build consensusAssist 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 consultingDeep data science experience with consulting for end-to-end delivery and exceptional analytical, problem-solving, communication, and presentation skillsAbility to develop executive-level decks, documents, and white papers to communicate complex concepts and recommendationsAbility to work in a highly collaborative, matrixed environment to build consensus and excellent stakeholder management and coordination skillsStructured thinker and effective communicator with excellent written communication skills and ability to crisply articulate complex technical concepts to senior audiencesDeep 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 unitsStrong 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 goalsStrong understanding of AI/ML technologies and their application in data management/governanceUnderstanding of control and risk management conceptsStrong product management and project management skills