Data Architecture Sr Lead Analyst - SVP

The Data Architecture Sr Lead Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Typically a small number of people within the business that provide the same level of expertise. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Accountable for significant direct business results or authoritative advice regarding the operations of the business. Necessitates a degree of responsibility over technical strategy. Primarily affects a sub-function. Responsible for handling staff management issues, including resource management and allocation of work within the team/project.

Responsibilities:

• Able to Lead & solution AWS, Snowflake data engineering team & designs.
• Design, develop, and implement complex cloud-based data architectures.
• Provide technical view and expertise on Snowflake data warehouse and data lake capabilities.
• Strong understanding and hold on best practices for Hadoop, AWS, Snowflake data modeling, data integration, data pipelining, and data delivery.
• Conduct code reviews to ensure adherence to quality standards.
• Lead the definition and ongoing management of target data architecture for risk information.
• Leveraging internal and external leading practices and liaising with other Citi risk organizations to determine and maintain appropriate alignment, specifically with Citi Data Standards.
• Working in conjunction with information owners and technology partners to define and implement the roadmap.
• Establishing a governance process to oversee implementation activities and ensure ongoing alignment to the defined architecture.
• Analyze current risk processes and systems to review current state risk management processes and supporting platforms to understand the information collected and taxonomies used to identify / manage risk.
• Analyze of current risk processes and systems to define and maintain the inventory of data attributes across risk management platforms.
• Define a set of common information categories that encompass risk activities, and identify the data attributes that support them.
• Review and validate information categories and data attributes with risk discipline owners to ensure completeness and define overall data architecture.
• Maintain data architecture and its ongoing alignment with Citi's Data Standards.
• Identify variance / gaps in the current data and the approach to achieve alignment.
• Define and implement risk data roadmap reviewing and validating with risk discipline owners.
• Define a data alignment plan in cooperation with technology partners.
• Manage the implementation of the data alignment plan and overall migration to the target state architecture.
• Define and operate data governance process that oversees data architecture.
• Prioritize data convergence activities and overseeing the completion of alignment activities.
• Review proposed changes or additions to the defined data architecture.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• Bachelor's Degree in Computer Science, Engineering, or a related field.
• Proven experience as a Technical Lead or similar role in Data Engineering.
• Extensive experience with Snowflake Data Cloud, including data modeling, ELT using Snowflake SQL, implementing stored procedures and functions.
• Familiarity with Snowflake's architecture, data loading/unloading, and performance optimization techniques.
• Strong understanding of data warehousing and data architecture principles.
• Proficiency in SQL and other data manipulation languages.
• Experience with data visualization tools and data integration platforms.
• 10+ years experience in analyzing and defining risk management data structures and architecture
• Project Management experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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In addition to salary, Citi’s offerings may also include, for eligible employees, 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 citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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