Citi Group Data Owner Lead Analyst VP 

United States, District of Columbia, Washington 

265184545

This position requires a candidate that has experience with data governance control execution, product management, and data analysis. Faceoff with senior stakeholders is required so strong written and verbal communication skills are a must. Knowledge of Liquidity and our existing products, processes and platforms w/in LMS will accelerate the candidate’s ability to add value efficiently.

The Data Owner Lead Analyst is responsible for day-to-day activities of the data strategy at the business/function level by ensuring that data is compliant with Regulations, Laws, and Citi Policies, Standards & Procedures to reduce and manage Citi’s data risk. They will assist in implementing the Data Strategy, architecture Target State, and executing the data delivery roadmap for Authoritative Data Sources. Requires in-depth understanding of data and reporting. Requires sound analytical skills to filter, prioritize and validate potentially complex data delivery from various sources They are responsible for promoting data as an asset and influencing culture change to make the organization increasingly more data driven.

Responsibilities

• Execute critical processes of data governance policy and data strategy to manage data efficiently.
• Ensure deep understanding of the business’ key data, data processes, and data flows.
• Facilitate day-to-day activities to drive key Data Owner program/project deliverables and interdependencies to ensure execution Partner with data consumers to agree on the scope of critical data quality challenges and ensure that the data operating model is implemented to reduce data risk.
• Regularly monitor and report Data Concerns, including dispositioning and monitoring fixes (Data defects, Data issues).
• Partners with other colleagues within business/functions and data technology teams to build the knowledge and assess the current state of the businesses’ information infrastructure.
• Support Data Stewards to drive end-to-end management and consistent usage to maximize the trustworthiness of business/function data. Identify data quality “hot spots” or points of exposure.
• Assist with the alignment of key data capabilities including metadata repositories, data dictionaries, data lineage, business process maps, and training materials with the data and system process flows.
• Escalate potential barriers to timely execution before they impact the delivery, communicate potential risks and plans to mitigate issues and concerns.
• Identify issues, challenges, and risks by factoring input from partners and diverse points of view.
• Appropriately assess risk when business decisions are made, demonstrating consideration for the firm’s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable rules, laws, and regulations, adhering to Policy, applying sound ethical judgement regarding personal behavior, conduct and business practices and escalating managing and reporting control issues with transparency.

Qualifications

• 6-10 years of experience in banking and financial services industry, information technology, and data governance.
• Experience with data management processes and tools and applications, including process mapping and lineage toolsets.
• Strong knowledge of 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.
• Good 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.
• 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.

Education

• Bachelor's/University degree, Master's degree preferred

Anticipated Posting Close Date:

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