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The Applications Development Group 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.
Job Responsibility:
Manage multiple teams of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
Provide strategic influence and exercise control over resources, budget management and planning while monitoring end results
Utilize in-depth knowledge of concepts and procedures within own area and basic knowledge of other areas to resolve issues
Ensure essential procedures are followed and contribute to defining standards
Integrate in-depth knowledge of applications development with overall technology function to achieve established goals
Provide evaluative judgement based on analysis of facts in complicated, unique, and dynamic situations including drawing from internal and external sources
Influence and negotiate with senior leaders across functions, as well as communicate with external parties as 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
Requirements:
13+ years of relevant experience
Extensive experience in applications development
Experience in Wealth Management / Private Bank data space
Familiarity with key investment flows like Post Trade Flows, Portfolio and Risk Modelling, Performance, Market and Reference data including Client and Advisor and IC interactions
Sound knowledge of core investment products like Cash Equity, Fixed Income, Alternatives, Structured Notes and Derivatives
Experience with data technologies such as RDBMS and Hadoop (Cloudera) database
Experience in building cloud native data platforms (AWS & GCP) and exposure to modern data architecture
Experience in building real-time and batch data pipelines to support wide range of Analytics, Regulatory, Business and Operational use cases
Familiar with the big data technologies such as Hadoop, HDFS, Hive, HBase, Spark and Flink
Exposure with Snowflake and Databricks is preferred
Experience in leading large multi domain / location teams is required
Collaborative and capable of bridging gap between Business, Technology and Analytics team
Experience managing global technology teams
Working knowledge of industry & Citi practices and standards
Consistently demonstrates clear and concise written and verbal communication
Bachelor's degree/University degree or equivalent experience
Master's degree preferred
An ideal candidate will be hands on engineering lead with a knack of solving complex data engineering problems
Experience in Wealth Investment data domain is preferred
an ideal candidate will have experience with a large global bank
Experience in design and development of batch/real time Spark processing pipelines
Experience with Kafka is preferred
Knowledge of Spark framework – Core Spark, Spark Data Frames, Spark streaming
Excellent communication skills and can manage a complex set of stakeholders with a diverse background and ask
Ability to execute multiple priorities and work with stakeholders ensuring appropriate prioritization
An ideal candidate is expected to work and deliver in an enterprise grade Data Governance environment, ensuring adherence to Lineage, Metadata, Catalog, Data Quality, Validation and Reconciliation
Enable cross platform interoperability with focus on self-service and real-time data delivery
Experience with AI technologies including coding assistant like Microsoft Copilot, Claude Code and Devin
Nice to have:
Exposure with Snowflake and Databricks is preferred
Master's degree preferred
Experience in Wealth Investment data domain is preferred
an ideal candidate will have experience with a large global bank