Vice President, Enterprise Data Management

Why Ryan?

• Hybrid Work Options

• Award-Winning Culture

• Generous Personal Time Off (PTO) Benefits

• 14-Weeks of 100% Paid Leave for New Parents (Adoption Included)

• Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement

• Benefits Eligibility Effective Day One

• 401K with Employer Match

• Tuition Reimbursement After One Year of Service

• Fertility Assistance Program

• Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service

Duties and Responsibilities, aligned with Key Results:

People

• 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.

Client

• 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.

Value

• 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.

Education and Experience:

• 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.

Additional Required Skills and Experience:

• 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.

Computer Skills:

To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research.

Supervisory Responsibilities:

• None

Work Environment:

• Standard indoor working environment.
• Occasional long periods of sitting while working at computer.
• Must be able to lift, carry, push or pull up to 30 lbs.
• Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary.

Equal Opportunity Employer: disability/veteran