What are the responsibilities and job description for the Vice President, Chief Data Transformation Engineer position at Confidential?
Vice President, Chief Data Transformation Engineer
About the Company
Expanding financial group in the Financial Services sector.
About the Role
Join a prominent financial organization as a Vice President, Chief Data Transformation Engineer, where you will play a critical role in reshaping our data strategy. This is an exceptional opportunity for those looking to make a significant impact. You will collaborate with diverse partners across technology, data, and operations to drive valuable business outcomes, with data positioned at the center of our initiatives.
This high-visibility role seeks a dynamic leader capable of bridging IT and business teams. You will be instrumental in articulating the delivery and utilization of data management capabilities while engaging with senior stakeholders effectively. Your responsibilities will include defining data solutions and capabilities that align with our overarching technology and business strategies, as well as fostering a robust culture of data management and literacy throughout the organization.
The ideal candidate will possess a minimum of 10 years of experience in the Banking and Financial Services sector, emphasizing data management and product development. A comprehensive background in business, systems, and data architecture and analysis is essential. Proven experience as a Data Engineer or Business Data Architect is required, along with a deep understanding of data analysis, reporting, and management. Technical proficiency in data management and visualization tools will also be critical.
Applicants should hold a Bachelor's degree in a related field; an advanced degree is a plus. We are looking for individuals with strong business acumen, excellent communication skills, and the ability to collaborate with others effectively. Your role will involve developing and nurturing relationships with key stakeholders, empowering business functions with advanced data capabilities, and driving data maturity and adoption across the organization.
Travel Percent
Less than 10%
Functions
- Engineering
- Information Technology
