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Chase · 1 day ago

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

277 Park Ave, New York, NY, 10172, US

Full-time

Onsite

Mid, Senior Level

$104K/yr - $205K/yr

7+ years exp

Chase is a leading financial institution offering innovative financial solutions. The Vice President – Strategy Lead for Data Development Lifecycle will lead the development and execution of new architecture and control frameworks to transform the firm’s data development process, partnering across various teams to enhance data management and governance.

BankingFinancial Services

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

Qualification

Data scienceData mesh architectureAI/ML technologiesStakeholder managementProject managementAnalytical skillsProblem-solvingCommunication skillsPresentation skillsCollaboration

Required

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