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