Data Analytics Group Manager - C14 - IRVING

As a data analytics group manager at Citi US Personal Banking customer data organization, you will have - 

1. Strong data engineering and technology background with the ability to quickly learn and adapt.
2. Strong Stakeholder management experience with excellent communication skills to negotiate internally and externally. 
3. Hands-on style of working with an inquisitive mindset.
4. Passionate and positive mindset to bring enthusiasm and energy to the job and team.
5. Goal seeking mindset - consistently working to set and attain individual and team goals.
6. Extensive experience in managing geographically dispersed team including but not limited to performance evaluation, compensation, hiring, disciplinary actions and terminations and budget approval.

Responsibilities:

• Lead and manage a team of product focused data engineers.
• Lead efforts to modernize our existing data platforms.
• Serve as the subject matter expert for one or more transactional/functional data domains within Citi US Personal Banking business.
• Partner with Product owners, architects and other peer technology teams to drive the implementation of data products.
• Conduct design and code reviews to ensure adherence with approved patterns and standards.
• Work within Agile team structure to design, develop and deliver technical solutions.
• Present technology roadmaps to technology leadership.
• 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.

Qualifications:

• At least 10 to 15 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
• At least 3 years experience in data governance platforms, data standardization, and data modeling.
• 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 building Marketing data platforms (CDP, Marketing data marts, Identity resolution applications) is strongly preferred.

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

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

Applicants must be authorized to work in the U.S.  (Citi will not sponsor applicants for U.S. work authorization for this position). Position is based in Irving, TX. Candidate must be located within commuting distance or be willing to relocate to the area

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Job Family Group:

Technology

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Job Family:

Data Analytics

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Time Type:

Full time

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Primary Location:

Irving Texas United States

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Primary Location Full Time Salary Range:

$156,160.00 - $234,240.00

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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Anticipated Posting Close Date:

Apr 18, 2025

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Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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