Data Analytics Cloud Group Manager, Citi

Citi

Location:
United States, Irving

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

234240.00 USD / Year

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Job Description:

The Data Analytics Cloud Group Manager is accountable for management of complex/critical/large professional disciplinary areas. Leads and directs a team of professionals. Requires a comprehensive understanding of multiple areas within a function and how they interact in order to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions.

Job Responsibility:

Accountable for all products as well as designing and implementing both the tactical and strategic data
Serves as the subject matter expert for strategic data analysis, identifies insights and implications, as well as make strategic recommendations and develop data displays that clearly communicate complex analysis
Defines the service model for each new incubated data product or data product set across the various businesses and regions
Prepares and presents key business cases underpinning strategic investment initiatives to maintain or build out the product capability
Participates in strategic business engagements to build the right level of data inclusion into all business forums below the top exec level
Plans and manages on-going product investment and activity in-line with defined portfolio balance, capacity and capability planning and development
Builds a product improvement & innovation pipeline for prioritization and build an initial view of the underlying commercial value and potential
Ensures current product landscape and architecture is mapped out, and deeply understood from a product origination point through fulfillment, processing, billing, servicing and revenue realization and reporting
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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards
Serve as an advisor and coach for developers, analysts, and new team members, fostering their growth and development in areas such as GenAI, Spark, AWS cloud services, and big data technologies

Requirements:

At least 10+ years' experience in software or data engineering space
At least 5 years’ experience with Data lake infrastructure, data warehousing and data pipelines design - Hadoop, Spark, Python, Scala
Cloud-Native Architectures (AWS EKS, S3): Architecting and managing scalable, resilient applications on AWS, specifically utilizing Amazon EKS for container orchestration and Amazon S3 for robust, cost-effective object storage and data lakes
At least 3 years experience with all aspects of DevOps (Source control, CICD etc.) Experience with containerization technologies (Docker, Kubernetes) is preferred. Experience in building data pipelines and applications in public cloud (AWS, Snowflake) is strongly preferred
Experience in ML Designing, developing, and integrating ML models and applications, understanding their lifecycle, ethical implications, and performance optimization
At least 3 years’ experience in data governance platforms, data standardization, and data modeling

Nice to have:

Complex Problem Solving: Analyze intricate business and system processes, alongside industry standards, to define and develop high-level solutions, including those involving large-scale data processing and machine learning
Advanced Programming Expertise: Provide expert-level knowledge in applications programming, particularly for large-budget, cross-functional, or multiple concurrent projects. This includes hands-on experience with Apache Spark: Implementing efficient data processing pipelines for big data analytics, machine learning workflows, and real-time data streams
Data Quality & Governance (Hadoop Ecosystem): Ensuring high data quality standards across diverse datasets, leveraging tools and principles within the Hadoop ecosystem for data management, validation, and transformation

What we offer:

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages including vacation, sick leave, and paid holidays
discretionary and formulaic incentive and retention awards

Additional Information:

Job Posted:
August 22, 2025

Expiration:
September 22, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Analytics Cloud Group Manager