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.