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# Vice President - Data Governance & Data Modeling

- **Company:** LIFE AT BALANCE
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Cloud Computing, Databases, Data Architecture, Information Engineering, Data Governance, Data Visualization, Metadata, Meta-Data Management, Reference Data, PL-SQL, Enterprise Data Management, Information Technology, Data Analytics, Data Management, Physical Data Models, Data Pipelines
- **Published:** October 6, 2026
- **Apply:** https://www.dice.com/job-detail/f5a436cd-9720-4767-8036-4c8edab7ebec

## About the Role

We are seeking a Vice President - Data Governance & Data Modeling to support enterprise data management and governance priorities. This role requires a candidate with a Computer Science background, strong hands-on data modeling experience, and practical knowledge of data governance within the finance industry., * Bachelor's degree or equivalent combination of education and experience.

 * 5+ years of experience in the finance industry.
 * Hands-on experience with data modeling and database programming (PLSQL)
 * Strong understanding of data governance, including data quality, lineage, metadata, and controls.
 * Familiarity with applied AI and its use in data, analytics, or governance processes.
 * Strong analytical, problem-solving, and communication skills.
 * Experience in financial services data domains such as client, product, transaction, or reference data.
 * Familiarity with data governance or metadata management tools.
 * Experience working in a regulated environment., * Advanced degree in Computer Science or a related field, with a strong background in data management and exposure to AI solutions.
 * Minimum of 7 years of experience in data-centric roles, with a proven track record of leading complex data projects.
 * Demonstrated expertise in data architecture design, data modeling, and data engineering principles.
 * Strong leadership and communication skills, with the ability to influence and collaborate across diverse teams.
 * Experience working with large-scale data platforms and tools, including cloud-based solutions.
 * Proficiency in data visualization and storytelling techniques to communicate complex data insights.
 * Familiarity with regulatory requirements and data privacy laws, ensuring compliance in data management practices.
 * Ability to stay updated with industry trends and emerging technologies, driving innovation within the organization.
 * Excellent problem-solving and analytical skills, with a data-driven mindset.
 * A passion for data-centric solutions and a commitment to driving business value through data-informed decision-making.

## Description

* Design and maintain conceptual, logical, and physical data models.
 * Support data governance activities including data quality, lineage, metadata, and stewardship.
 * Partner with business and technology teams to define data standards and controls.
 * Help identify and remediate data issues to improve consistency, integrity, and usability.
 * Contribute to scalable data solutions that support reporting, analytics, and operational needs., * Lead the design and development of data solution architectures to support AI initiatives.
 * Collaborate with data scientists to groom user stories, ensuring alignment with business needs.
 * Oversee the implementation and maintenance of data management systems, including data governance and quality assurance processes.
 * Develop and execute data-centric strategies to drive business growth and efficiency.
 * Foster a data-driven culture by promoting best practices and providing guidance to teams across the organization.
 * Stay updated with industry trends and emerging technologies in data management and AI.
 * Mentor and guide a high-performing team of data professionals, fostering a collaborative and innovative work environment.
 * Ensure data security and privacy compliance, adhering to regulatory standards and internal policies.
 * Partner with business stakeholders to understand their data requirements and translate them into actionable plans.