Data Owner Sr Lead Analyst, Senior Vice President

Citi•Jersey City, NJ

About The Position

Provide data owner advice and guidance to the end-to-end data flow, including all upstream areas that create and/or consume Authoritative Data Sources to ensure they adopt new policy/standards, data models, and appropriate infrastructure. Understands the business/function processes to provide insights into business end-to end data flows, system architecture, and the critical data elements that flow across systems. Support Domain team to drive end-to-end management and consistent usage to ensure data is accurate, complete, and timely. Lead assessment of data requirements, data standards and data process risk, including coordinating with the business in identifying critical data, defining standards and quality expectations, and prioritize remediation of data issues. Align key data capabilities including metadata repositories, data dictionaries, data lineage, business process maps, and training materials with the data and system process flows. Support Data Concerns remediation, including dispositioning and monitoring fixes (Data defects, Data issues). Collaborate with internal stakeholders to identify, review and recommend and/or processes and technologies improvements that support successful deployment of Data obligations. Coordinate and support reviews of issues / challenges / risks by factoring input from partners and diverse points of view. Escalate potential barriers to timely execution before they impact the delivery, communicate potential risks and plans to mitigate issues and concerns. Provide status updates on issues, challenges, risks and solutions to Data Owner management team and technology data teams in a succinct manner to drive decision-making and actions. Monitor metrics and key performance indicators associated with Data Quality and Controls.

Requirements

15+ years of combined experience in banking and financial services industry, information technology and/or data governance
Experience with data management processes and tools and applications, including process mapping and lineage toolsets
Strong knowledge of Data Management fundamentals, structured/unstructured databases, data modeling, data management, rapid / iterative development methodologies and data governance tools
Strong understanding of data governance issues, policies, regulatory requirements, and industry information affecting the business environment
Demonstrated relationship management and advisory skills with sponsors, key stakeholders, partners and team members in both Business and Technology forums
Excellent presentation skills, business and technical writing, and verbal communication skills to support decision-making and actions
Excellent problem-solving and critical thinking skills to recognize and comprehend complex data flow and designs
Regularly provided timely action-focused status updates to management and stakeholders
Self-motivated and able to dynamically determine priorities
Actively managed various aspects of data initiatives including analysis, planning, execution, and day-to-day production management
Bachelor's/University degree
Constructive Debate
Data Analysis
Data Lineage
Data Management
Data Quality
Management Reporting
Policy and Procedure
Program Management
Referral and Escalation
Risk Identification and Assessment

Nice To Haves

Master's degree

Responsibilities

Provide data owner advice and guidance to the end-to-end data flow
Support Domain team to drive end-to-end management and consistent usage
Lead assessment of data requirements, data standards and data process risk
Align key data capabilities including metadata repositories, data dictionaries, data lineage, business process maps, and training materials with the data and system process flows
Support Data Concerns remediation, including dispositioning and monitoring fixes (Data defects, Data issues)
Collaborate with internal stakeholders to identify, review and recommend and/or processes and technologies improvements that support successful deployment of Data obligations
Coordinate and support reviews of issues / challenges / risks by factoring input from partners and diverse points of view
Escalate potential barriers to timely execution before they impact the delivery, communicate potential risks and plans to mitigate issues and concerns
Provide status updates on issues, challenges, risks and solutions to Data Owner management team and technology data teams in a succinct manner to drive decision-making and actions
Monitor metrics and key performance indicators associated with Data Quality and Controls