Brooklyn, NY, United States
6 hours ago
Vice President, Data Owner Lead

Join our Commercial and Investment Banking team as a Data Owner Lead, where you'll drive innovative data strategies that empower decision-making and fuel business growth. Lead cross-functional collaborations to ensure data quality, protection, and integration, transforming data into a trusted asset. Your leadership will cultivate a data-driven culture, enhancing our competitive edge and supporting strategic objectives.


As a Data Owner Lead within our Commercial and Investment Banking team, you will play a pivotal role in executing data strategies that drive business operations and strategic objectives. You will serve as a subject matter expert, coordinating between providers and consumers to ensure business data is understood, fit for purpose, and well governed. Your day-to-day responsibilities will involve collaborating with cross-functional teams to identify and prioritize critical data needs, ensuring data is of good quality, well-protected, effectively integrated and utilized across the organization. By leading efforts to mitigate data risks, enhance data quality, and support data strategy, you will ensure that data serves as a trusted asset, empowering decision-making and innovation. Your leadership will be crucial in fostering a data-driven culture that supports the organization's growth and competitive advantage.

Job Responsibilities:

•Implement strategic plans to deliver data solutions that effectively support business operations and strategic objectives, ensuring alignment with organizational goals. 
•Manage the execution of projects and related milestones, understand and mitigate risks, bottlenecks, and inefficiencies throughout the project / initiative.
•Collaborate with key partners to ensure that critical data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control
•Serve as a subject matter expert, working with multiple stakeholders to drive a strong understanding and effective use of data across business areas and functions, enhancing data-driven decision-making. 
•Support data analytics and products by identifying and governing data required to be integrated into analytics platforms to support analytics projects.
•Document comprehensive requirements for data sourcing, content and quality, coordinating with technology and business partners to ensure timely, complete, and accurate data.
•Develop and oversee processes to identify, monitor, and mitigate data risks throughout the data lifecycle, addressing issues related to data protection, retention, storage, use, and quality.
•Communicate and resolve data issues in a timely and consistent manner, maintaining data integrity and consumer trust.
•Manage and guide direct or matrixed staff in executing data-related tasks and initiatives.

Required qualifications, capabilities, and skills:

•Bachelor’s degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field.
•6+ years of experience in data management, data governance, risk management/analytics, or a related field
•Proven leadership track record, demonstrated ability to manage delivery timelines, and ensure the organization is on track to meet goals
•Strong leadership skills with experience in managing and mentoring cross-functional teams
•In-depth understanding of data management principles, governance frameworks, and lifecycle management, including data protection, data quality and data classification.
•Excellent analytical and problem-solving skills, translating complex data concepts into business strategies.
•Strong communication skills, effectively conveying data concepts to technical and non-technical stakeholders, as well as senior audiences
•Ability to build and maintain strong relationships with key stakeholders, execute and manage multiple data projects.

Preferred qualifications, capabilities, and skills:

•Experience with cloud-based data platforms and technologies, such as AWS and Databricks
•Familiarity with advanced analytics, machine learning, or artificial intelligence applications in a business context.
•Knowledge of query or analytical programming languages
•Experience in leading digital transformation initiatives that leverage data to drive business innovation and efficiency.
 

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