About the role

Vice President overseeing enterprise data management strategies at Ryan. Driving data quality, security, and accessibility for enterprise operations with team leadership and cross-functional collaboration.

Responsibilities

Overseeing the design, implementation, and governance of enterprise data management strategies
Ensuring high data quality, security, and accessibility across the organization
Mentoring, coaching, and developing team members, fostering technical growth and ensuring best practices in data management
Leading cross-functional teams to align on data initiatives and drive organizational adoption of data management tools and frameworks
Serving as the primary liaison between business stakeholders and technical teams, ensuring alignment of data initiatives with organizational goals
Translating complex business requirements into effective enterprise data strategies and technical solutions
Developing and executing enterprise data management and governance strategies, including data quality, data lineage, and master data management initiatives
Overseeing the design and implementation of scalable, reliable data solutions using platforms such as Databricks
Establishing and enforcing governance frameworks, policies, and standards to ensure integrity, security, and compliance with regulatory requirements
Driving continuous improvement in data management processes, identifying and addressing gaps or inefficiencies
Managing and prioritizing multiple projects, ensuring timely delivery and measurable business value

Bachelor’s degree in Computer Science, Information Systems, Finance, or related field (Master’s preferred)
10+ years of experience in enterprise data management, data governance, or related fields, with at least 5 years in a leadership role
Proven experience with ETL, data modeling, SQL, and master data management solutions
Hands-on expertise with enterprise data platforms such as Databricks, Collibra, or equivalent
Strong background in ERP systems, FP&A, and tax domain data requirements is a plus
Industry knowledge in financial services, insurance, or asset management preferred
Strong background in data integration (ETL), data warehousing, metadata management, and data quality solutions
Demonstrated ability to analyze complex business issues and perform advanced data analysis
Excellent communication and collaboration skills, with a proven track record of building alignment between business and IT
Experience leading large-scale software implementation projects and Agile methodologies
Familiarity with data privacy regulations and compliance requirements
Knowledge of BI and analytics platforms such as Tableau.