00002 Citibank, N.A.
Data Architect Lead Analyst Vice President
00002 Citibank, N.A., Jersey City, New Jersey, United States, 07390
Overview
The Data Architect Lead Analyst (Data Analytics Lead Analyst) is a senior-level position responsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in coordination with the Technology team. The objective of this role is to contribute to continuous iterative exploration and investigation of business performance and other measures to gain insight and drive business planning. This technical lead role manages IT initiatives primarily focusing on data quality, design and development of a DQ framework, and adherence and conformance that includes data analysis, profiling, root cause identification, ETL process reviews and remediation, working closely with leads within the Chief Data Office, Data Governance, Legacy Product Processors leads, IT teams, etc., to meet data quality conformance goals in the Regulatory reporting space. Responsibilities Understand the complete regulatory data demand landscape, processes and end-to-end life cycle in planning & managing scope, timelines, quality, etc. Partner with key stakeholders such as Business, Chief Data Officers, Data Governance Officers, Finance and IT teams in managing the regulatory reporting scope and demands. Provide input during development and implementation phases, including formulation and definition of systems scope, objectives and necessary system enhancements for complex, high-impact projects. Resolve data quality issues, remediate data proxies through strategic solutions through established processes such as DCRMs, Releases, etc. Expert analysis of Consumer banking data to identify data anomalies, data quality, reconciliation breaks and data standard issues. Ability to visualize data lineage end to end from the point of origin to consumption, correlating to business processes, system flow, data hops, etc. Accelerate understanding of existing systems, data, standards, financial systems, Citi products, and data flows to strengthen domain knowledge and contribute to project objectives. Be technically hands-on in data analysis, profiling, troubleshooting & issue resolution. Act as owner, team player, influence positively without authority, bind teams together and align to common project and management directives. Manage Regulatory Delivery Scope, provide oversight and govern project execution on all major and minor releases from planning to post-implementation. Responsible for all phases of project deliverables. Be detail-oriented, act swiftly, and manage deliverables independently with minimal handholding. Drive out-of-the-box solution approaches, problem solving and adoption of new tools and technologies as needed. Identify and communicate risks and impacts and propose risk mitigation options, considering business implications of technology in the current environment. Consult with business clients to determine system functional specifications and partner with multiple management teams to meet organizational objectives. Provide management status reporting in a timely manner. Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish goals. Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions. Engage in design forums and make recommendations based on lessons learned. Work towards continuous improvements in managing data assets. 100% adherence to compliance, controls and data access reviews performed timely.
Qualifications
6+ years experience using codes for statistical modeling of large data sets, Apps Development, systems analysis, System Maintenance and Support functions. 5+ years experience and technical hands-on and proven track record in data analysis. 5+ years experience in system analysis and programming of software applications. 4+ years experience working in Visualization, Data Lineage/Tracing tools. Must have experience with ETL, Data Lineage, Python, PySpark, Snowflake, Cloud, Big Data / Hadoop. Experience in AI / ML. Experience in leading support functions. Experience in managing, supporting and implementing successful projects. Subject Matter Expert (SME) in at least one area of Applications Development & Support. Demonstrated leadership and project management skills. Clear and concise written and verbal communication. 6+ years of experience handling large volumes of data or DWH/EDW or Big Data Platforms. 8+ years of experience in data projects with proven track record of managing technical deliveries. Prior experience or exposure to data standards is an added advantage. Prior experience in Software Maintenance is an plus.
Education
Bachelors degree / University degree in Computer Science, Computer Engineering, Information Technology, MIS or equivalent experience Job Family Group :
Technology Job Family :
Data Analytics Time Type :
Full time Primary Location :
Irving, Texas, United States Primary Location Full Time Salary Range :
125, - 188, In addition to salary, Citis offerings may also include discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit. Available offerings may vary by jurisdiction, job level, and date of hire. Most Relevant Skills Please see the requirements listed above. Anticipated Posting Close Date :
Sep 02, 2025 #J-18808-Ljbffr
The Data Architect Lead Analyst (Data Analytics Lead Analyst) is a senior-level position responsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in coordination with the Technology team. The objective of this role is to contribute to continuous iterative exploration and investigation of business performance and other measures to gain insight and drive business planning. This technical lead role manages IT initiatives primarily focusing on data quality, design and development of a DQ framework, and adherence and conformance that includes data analysis, profiling, root cause identification, ETL process reviews and remediation, working closely with leads within the Chief Data Office, Data Governance, Legacy Product Processors leads, IT teams, etc., to meet data quality conformance goals in the Regulatory reporting space. Responsibilities Understand the complete regulatory data demand landscape, processes and end-to-end life cycle in planning & managing scope, timelines, quality, etc. Partner with key stakeholders such as Business, Chief Data Officers, Data Governance Officers, Finance and IT teams in managing the regulatory reporting scope and demands. Provide input during development and implementation phases, including formulation and definition of systems scope, objectives and necessary system enhancements for complex, high-impact projects. Resolve data quality issues, remediate data proxies through strategic solutions through established processes such as DCRMs, Releases, etc. Expert analysis of Consumer banking data to identify data anomalies, data quality, reconciliation breaks and data standard issues. Ability to visualize data lineage end to end from the point of origin to consumption, correlating to business processes, system flow, data hops, etc. Accelerate understanding of existing systems, data, standards, financial systems, Citi products, and data flows to strengthen domain knowledge and contribute to project objectives. Be technically hands-on in data analysis, profiling, troubleshooting & issue resolution. Act as owner, team player, influence positively without authority, bind teams together and align to common project and management directives. Manage Regulatory Delivery Scope, provide oversight and govern project execution on all major and minor releases from planning to post-implementation. Responsible for all phases of project deliverables. Be detail-oriented, act swiftly, and manage deliverables independently with minimal handholding. Drive out-of-the-box solution approaches, problem solving and adoption of new tools and technologies as needed. Identify and communicate risks and impacts and propose risk mitigation options, considering business implications of technology in the current environment. Consult with business clients to determine system functional specifications and partner with multiple management teams to meet organizational objectives. Provide management status reporting in a timely manner. Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish goals. Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions. Engage in design forums and make recommendations based on lessons learned. Work towards continuous improvements in managing data assets. 100% adherence to compliance, controls and data access reviews performed timely.
Qualifications
6+ years experience using codes for statistical modeling of large data sets, Apps Development, systems analysis, System Maintenance and Support functions. 5+ years experience and technical hands-on and proven track record in data analysis. 5+ years experience in system analysis and programming of software applications. 4+ years experience working in Visualization, Data Lineage/Tracing tools. Must have experience with ETL, Data Lineage, Python, PySpark, Snowflake, Cloud, Big Data / Hadoop. Experience in AI / ML. Experience in leading support functions. Experience in managing, supporting and implementing successful projects. Subject Matter Expert (SME) in at least one area of Applications Development & Support. Demonstrated leadership and project management skills. Clear and concise written and verbal communication. 6+ years of experience handling large volumes of data or DWH/EDW or Big Data Platforms. 8+ years of experience in data projects with proven track record of managing technical deliveries. Prior experience or exposure to data standards is an added advantage. Prior experience in Software Maintenance is an plus.
Education
Bachelors degree / University degree in Computer Science, Computer Engineering, Information Technology, MIS or equivalent experience Job Family Group :
Technology Job Family :
Data Analytics Time Type :
Full time Primary Location :
Irving, Texas, United States Primary Location Full Time Salary Range :
125, - 188, In addition to salary, Citis offerings may also include discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit. Available offerings may vary by jurisdiction, job level, and date of hire. Most Relevant Skills Please see the requirements listed above. Anticipated Posting Close Date :
Sep 02, 2025 #J-18808-Ljbffr