Drive and influence enterprise data-decision making processes for a simplified and streamlined front to back data flows and a mature enterprise data architecture
Identify data flow, data duplication, data lineage and data quality gaps across the enterprise applications and drive data gap remediations among a diverse group of stakeholders
Provide feedback and guidance on streamlined data architecture and activities
Identify opportunities for data optimization, data flows and data processes simplification

Requirements

Bachelor’s degree or equivalent work experience in Finance, Economics, Engineering, Math or a related field
10+ years' experience in Data Architecture and Data Management
Understanding data lineage and metadata management
Experience with business glossary and data dictionaries in the global capital markets
Experience with visualization tools (Tableau), SQL and Python
Strong analytical skills, with ability to collect, absorb, and analyze information quickly and independently
Proven ability to develop and work with cross functional processes and project timeline
Excellent follow-through, attention to detail and time management skills

Benefits

Retirement savings plan (401K) with company match
Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
Paid-time off including vacation, sick leave, short term disability, and family care responsibilities
Access to our Employee Assistance Program
Incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
Eligibility for certain tax advantaged savings plans

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Data ArchitectureData ManagementData LineageMetadata ManagementSQLPythonData OptimizationData QualityData Processes SimplificationData Visualization

Soft Skills

Analytical SkillsAttention to DetailTime ManagementCross Functional CollaborationFeedback and GuidanceIndependent AnalysisFollow-through