Assistant Vice President, Data Engineering, Citi

Citi

Location:
India, Gurugram

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking a highly experienced and strategic Assistant Vice President to lead our Data/Information Management Team. The ideal candidate will be responsible for driving the development and implementation of data analytics solutions to support key business objectives for Legal Operations as part of COO (Chief Operating Office). This role requires a strong leader with a proven track record of building and managing high-performing teams, delivering impactful insights, and fostering a data-driven culture.

Job Responsibility:

Incumbents would be primarily responsible for supporting Business Execution, Legal Data & Reporting activities for Chief Operating Office, implement data engineering solutions to manage banking operations. Establish monitoring routines, scorecards and escalation workflows
Oversee the Data Strategy, Smart Automation, Insight Generation, Data Quality and Reporting activities using proven analytical techniques. Responsible for documenting data requirements, data collection / processing / cleaning, which may include Process Automation / Optimization and data visualization techniques
Enable proactive issue detection, escalation workflows, and alignment with firmwide Data Related policies, Implement a governance framework with clear stewardship roles and data quality controls
Interface between business and technology partners for digitizing data collection, including performance generation, validation rules for banking operations. Build Data Strategy by identifying all relevant product processors, create Data Lake, Data Pipeline, Governance & Reporting
Communicate findings and recommendations to senior management. Stay current with the latest trends and technologies in analytics. Ensure compliance with data governance policies and regulatory requirements
Setup a governance operating framework to enable operationalization of data domains, identify CDEs and Data Quality rules. Align with Citi Data Governance Policies and firmwide Chief Data Office expectations
Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies like Centralized data repository with standardized definitions and scalable data pipes
Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes. Implement rule-based Data Quality checks across critical data points. Automate alerts for breaks and publish periodic quality reports
Incumbents in this role may often be referred to as Data Analyst. Develop and execute the analytics strategy – Data Ingestion, Reporting / Insights Centralization, Ensure consistency, lineage tracking, and audit readiness across legal reporting
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
Work as a senior member in a team of data engineering professionals, working with them to deliver on organizational priorities

Requirements:

8+ years of experience in Business Transformation Solution Design roles with proficiency in tools/technologies like Python, PySpark, Tableau, MicroStrategy, SQL etc.
Strong understanding of Data Transformation – Data Strategy, Data Architecture, Data Tracing & Lineage (ability to trace data lineage from source systems to data warehouse to reports and dashboards), Scalable Data Flow Design and Standardization, Platform Integration, ETL & Smart Automation
Conceptual, logical, and physical data modeling expertise. Proficiency in relational and dimensional data modeling techniques.Ability and experience in designing data warehouses, integrated data marts, and optimized reporting schemas that cater to multiple BI tools
Database Management & Optimization. Expertise in database performance tuning and optimization for data enrichment and integration, reporting and dashboarding
Strong understanding of data platforms / ecosystem, establish a scalable data management framework – data provisioning, process optimization, actionable insights, visualization techniques using Tableau
Solution Architect with proven ability to translate complex data flows into automated & optimized solutions. Ability to leverage data analytics tools & techniques for analytics problem solving for organizational needs
Experience in Developing and Deploying AI solutions in partnership with Tech and Business
Experience with any banking operations (e.g., expense analytics, movement of funds, cash flow management, fraud analytics, ROI). Knowledge of regulatory requirements related to data privacy and security
Experience in interacting with senior stakeholders across the organization to be able to manage end-to-end conceptualization & implementation of data strategies - standardization data structures, identify and remove redundancies to optimize data feeds
AI / Gen AI proficiency and thought leadership in Financial/Business Analysis and/or credit/risk analysis with ability to impact key business drivers via a disciplined analytic process
Analytics thought leadership skills & Manage project planning effectively
In-depth understanding of the various financial service business models, expert knowledge of advanced statistical techniques and how to apply the techniques to drive substantial business results
Creative problem-solving skills

Additional Information:

Job Posted:
August 02, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Assistant Vice President, Data Engineering