Vice President, Enterprise Data Management

Ryan•New York, NY

11d•Hybrid

About The Position

The Enterprise Data Management Lead is responsible for overseeing the design, implementation, and governance of enterprise data management strategies, ensuring high data quality, security, and accessibility across the organization. This role requires a balance of hands-on technical expertise and strong leadership, serving as a liaison between business stakeholders and IT to drive data-driven decision-making and operational excellence

Requirements

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 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.
To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Ryan LLC (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Job duties related to this role are to be conducted in a manner that adheres to privacy laws, as well as follows internal governance related to protecting confidential information and trade secrets, and to securing data and company records.

Nice To Haves

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.

Responsibilities

Mentor, coach, and develop team members, fostering technical growth and ensuring best practices in data management.
Lead cross-functional teams to align on data initiatives and drive organizational adoption of data management tools and frameworks.
Facilitate training and change management to promote awareness and adoption of enterprise data processes across departments.
Serve as the primary liaison between business stakeholders and technical teams, ensuring alignment of data initiatives with organizational goals.
Translate complex business requirements into effective enterprise data strategies and technical solutions.
Partner with tax, finance, and operations leaders to ensure cross-functional data needs are addressed consistently and accurately.
Lead the development and execution of enterprise data management and governance strategies, including data quality, data lineage, and master data management initiatives.
Oversee the design and implementation of scalable, reliable data solutions using platforms such as Databricks.
Establish and enforce governance frameworks, policies, and standards to ensure integrity, security, and compliance with regulatory requirements.
Drive continuous improvement in data management processes, identifying and addressing gaps or inefficiencies.
Manage and prioritize multiple projects, ensuring timely delivery and measurable business value.