Application Development Senior Manager - Vice President

Citi; Mississauga; On-site; CAD 121,000 - 171,000; Full time

Job summary

The Applications Development Senior Manager at Citi leads one or more Applications Development teams to deliver scalable AI-enabled data and application platforms. You will oversee technical oversight across systems, review proposed solutions, and drive strategies for enterprise-grade ELT/ETL processes with PySpark, Databricks, and AI tooling.

This role requires 10+ years in large-scale development, strong Python/SQL skills, and a track record of building data federations and microservices.

Qualifications

• 10+ years of large-scale application development experience with AI deployment.
• 5+ years in Python/pyspark leadership building enterprise ELT/ETL pipelines.
• Hands-on AI development using YAML/JSON, FAST API, Google ADK and Copilot.
• Experience with microservice integrations and data-intensive applications.
• Proficiency in Python or Scala and strong SQL across RDBMS.
• Understanding of Data Mesh, data modeling, and data federation.

Responsibilities

• Lead one or more Applications Development teams to meet goals and manage personnel duties.
• Provide technical oversight across systems and applications and review proposed solutions.
• Develop strategies for applications development and data integration initiatives.
• Develop knowledge of how business areas integrate to achieve goals.
• Monitor delivery, participate in budgeting, and staff resource management.
• Ensure compliance with laws, policy, and risk controls; escalate issues when needed.
• Design, develop, and maintain scalable AI agents and data pipelines using modern tech stack.
• Integrate and leverage agentic AI tools and platforms to enhance efficiency.

Skills

Python

PySpark

Databricks

SQL

ELT/ETL

Microservices

CI/CD

Kubernetes

AI development

Data modeling

Education

Bachelor’s degree/University degree or equivalent experience

Master’s degree preferred

Tools

Python

FAST API

Spring Boot

Google ADK

GitHub Copilot

MCP

Starburst

Databricks

Kubernetes

Job description

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 applications
• Review and analyze proposed technical solutions for projects
• Contribute to formulation of strategies for applications development and other functional areas
• Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
• Provide evaluative judgment based on analysis of factual data in complicated and unique situations
• Impact 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/project
• Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when necessary
• 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.
• 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 contexts
• Minimum 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 experience
• Master’s degree preferred

This 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:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location Full Time Salary Range:

$120,800.00 - $170,800.00

Most Relevant Skills

Please see the requirements listed above.

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