Application Development Senior Manager - Vice President

The Applications Development Senior Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis and programming activities.Responsibilities:
Manage one or more Applications Development teams in an effort to accomplish established goals as well as conduct personnel duties for team (e.G. performance evaluations, hiring and disciplinary actions)Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applicationsReview and analyze proposed technical solutions for projectsContribute to formulation of strategies for applications development and other functional areasDevelop comprehensive knowledge of how areas of business integrate to accomplish business goalsProvide evaluative judgment based on analysis of factual data in complicated and unique situationsImpact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/projectEnsure essential procedures are followed and contribute to defining standards negotiating with external parties when necessaryAppropriately 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.Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citi, its clients, and assets by driving compliance with applicable laws, rules, and regulations. Adhere to Policy, apply sound ethical judgment, and escalating, manage, and report control issues with transparency.Design, develop, and maintain scalable, enterprise-grade AI agents, supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices, PySpark, Kafka and Databricks ecosystem.Build and Deploy GEN AI Agents using Googles ADK and Google Flash 2.5+ LLMs to support application automation supports and its deep insights, workflow support with HIL - Human in loop architecture.Build and maintain data federation layers for lambda and Data Mesh architectures using tools like Starburst, with a strategy for adopting AI-based use cases (e.G., machine learning, deep learning, NLP) to drive efficiency.Develop, deploy, and automate microservice integrations to support data-intensive applications, ensuring scalability, resilience, and maintainability using cloud native infrastructure and openshift or Kubernates architecture including CI/CD pipelines.Integrate and leverage agentic AI tools (e.G., Devin.AI, Github Copilot) and platforms (e.G., MCP) through advanced prompt engineering to enhance development and operational efficiency.Ensure data quality, integrity, and security throughout the entire data lifecycle.Contribute to the continuous improvement of data engineering processes, standards, and best practices within the team.Recommended Qualifications:
10+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into application contextsMinimum of 5+ years of proven experience in a Python and pyspark Engineering lead role focused on building enterprise-grade, high-volume ELT/ETL processes using the PySpark and Databricks ecosystem.Hands-on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM itegrations, including Devin.AI or Github Copilot, and integrating models via platforms like MCP using advanced prompt engineering.Proven experience developing and automating microservice integrations to support data-intensive applications.Proficiency in at least one programming language commonly used for data analytics, engineering, such as Python or Scala.Strong SQL skills and experience with various relational databases.Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation.Excellent communication, collaboration, and problem-solving skills.Education:
Bachelor’s degree/University degree or equivalent experienceMaster’s degree preferredThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.Job Family Group:
TechnologyJob Family:
Applications DevelopmentTime Type:
Full timePrimary Location Full Time Salary Range:
$120,800.00 - $170,800.00Most Relevant Skills
Please see the requirements listed above.Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View Citi’s EEO Policy Statement and the Know Your Rights poster.
#J-18808-Ljbffr