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As a data analytics group manager at Citi US Personal Banking customer data organization, you will play a critical role in leading a team of data engineers. This position requires strong technical expertise in data platforms, stakeholder management, and a hands-on approach to solving problems. You will partner with product owners and architects to modernize data platforms while adhering to company standards and compliance practices. Additionally, you will drive initiatives related to cloud computing, DevOps, and marketing data platforms.
Job Responsibility:
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
Requirements:
Strong data engineering and technology background with the ability to quickly learn and adapt
Strong Stakeholder management experience with excellent communication skills to negotiate internally and externally
Hands-on style of working with an inquisitive mindset
Passionate and positive mindset to bring enthusiasm and energy to the job and team
Goal seeking mindset - consistently working to set and attain individual and team goals
Extensive experience in managing geographically dispersed team including but not limited to performance evaluation, compensation, hiring, disciplinary actions and terminations and budget approval
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
Bachelor’s/University degree or equivalent experience, potentially Masters degree
Nice to have:
Experience with containerization technologies (Docker, Kubernetes)
Experience in building data pipelines and applications in public cloud (AWS, Snowflake)
Experience in building Marketing data platforms (CDP, Marketing data marts, Identity resolution applications)
What we offer:
medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
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