Data Analytics Development Manager – SVP

Citi

. Manage and direct the data analytics platform, data gathering, tooling, and overall data strategy for the Prime Services Data team .

Posted 10/13/2026full-timeTampa • Florida • United StatesLead💰 $141,440 - $212,160 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing data analytics platforms and leading technical teams while ensuring data quality and compliance within the financial services sector. Proficient in Python and Java, with a strong background in data engineering, analytics, and AI-assisted development tools.

Highest-signal resume keywords

Data Analytics ManagementPython ProgrammingJava ProgrammingData Quality FrameworksAI-Powered Development Tools

ATS Keywords

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Hard Skills

Data EngineeringData AnalyticsSQLData Ingestion FrameworksBatch ProcessingData VisualizationDistributed Messaging SystemsNoSQL Database ManagementWorkflow OrchestrationData Warehousing

Soft Skills

LeadershipCommunicationTeam ManagementProblem SolvingDiplomacy

Tools & Technologies

GitHub CopilotKafkaGemfireRedisCI/CD PipelinesContainerizationData LakesAnalytics PlatformsMonitoring ToolsWorkflow Automation

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree or Advanced Certifications

Industry Keywords

Financial ServicesData QualityOperational ResilienceRegulatory ComplianceQuantitative AnalysisTrade ProcessingPosition ManagementRisk ManagementClient Core Business FunctionsEnterprise Data Standards

Tech Stack

Tools & technologies

JavaKafkaNoSQLPythonRedisSQL

About the role

Key responsibilities & impact

Manage and direct the data analytics platform, data gathering, tooling, and overall data strategy for the Prime Services Data team
Lead data analytics, data sourcing, distribution, and data quality within Prime Services
Manage a small team of data analysts and developers while remaining embedded in day-to-day engineering work
Design, develop, and maintain data analytics pipelines and platforms using Python and Java
Leverage AI-assisted development tools and contribute to AI-powered monitoring agents
Build workflow or data agents
Build and optimize data sourcing integrations across Prime Services and Markets Technology
Develop analytics tools and dashboards for business users and quantitative analysts
Write production-quality code, participate in code reviews, and enforce engineering best practices
Architect scalable solutions for orders, executions, trades, and position data
Implement and maintain batch processing jobs and automated workflows
Troubleshoot complex technical issues across the data platform stack
Provide technical direction, mentorship, and professional development for team members
Act as escalation point for local business and production support teams
Oversee Asia-morning production processes and batch jobs
Coordinate with global teams across the US and UK for 24-hour operational coverage
Establish monitoring, alerting, and incident response procedures
Drive root cause analysis and permanent fixes for production issues
Ensure operational resilience and business continuity
Gather and translate business requirements into technical specifications and engineering solutions
Consult with Prime Brokerage, Equity Finance, Delta One, Futures Execution and Clearing, and OTC Clearing businesses
Guide data visualization implementation for analytics and reporting
Ensure data accuracy, completeness, and timeliness
Establish data quality rules, validation frameworks, and remediation processes
Oversee metadata management and data lineage documentation
Drive compliance with enterprise data standards and regulatory requirements
Lead integration of functions, deploy new products, and enhance processes
Analyze business and system processes and industry standards to define solutions
Develop application methodologies and standards for analysis, design, coding, testing, debugging, and implementation
Consult end users, allocate work, coach developers and analysts, advise senior leaders, and assess technology and regulatory risk

Requirements

What you’ll need

12+ years of experience in software engineering, data engineering, or data analytics within Banking or Financial Services
Experience using modern AI-assisted development and testing tools such as GitHub Copilot, Devin, Claude, or equivalent
Hands-on experience building or contributing to AI-powered agents, particularly for monitoring, alerting, or workflow automation, strongly preferred
Strong hands-on engineering background designing, building, and maintaining production-grade data systems
Experience managing small technical teams while remaining a significant individual contributor
Deep business knowledge of financial data, including orders, executions, trade processing, position management, P&L, risk, and reference data
Experience working with quantitative analysts and business stakeholders to translate requirements into technical solutions
Experience supporting global production environments, including off-hours batch processing and operational support
Experience working at senior levels with executive stakeholders and business leaders
Strong hands-on proficiency in Python and Java
Extensive knowledge of data ingestion and distribution frameworks
Experience with distributed messaging systems such as Kafka and distributed caching services such as Gemfire/Redis
Proficient in SQL and various relational and NoSQL database management systems
Experience designing and managing batch jobs, schedulers, and workflow orchestration tools
Expertise in data quality frameworks, validation techniques, and remediation strategies
Familiarity with CI/CD pipelines, containerization, and deployment automation
Experience building and maintaining data lakes, data warehouses, and analytics platforms preferred
Experience implementing data visualization tools and platforms is a plus
Excellent verbal and written communication skills, including presenting to executive audiences
Ability to work with quantitative analysts and business SMEs to understand complex data requirements
Ability to work effectively with diverse, globally distributed teams
Ability to work under pressure, facilitate discussions, and conduct group meetings
Strong diplomacy skills
Bachelor's/University degree or equivalent experience, preferably in Computer Science, Information Systems, Mathematics, Statistics, Engineering, or related quantitative field
Master's degree or advanced certifications preferred
10+ years of relevant experience
Experience implementing projects
Experience in systems analysis and programming of software applications
Demonstrated subject matter expertise in Applications Development
Knowledge of client core business functions
Demonstrated leadership, project management, and development skills
Relationship and consensus-building skills

Benefits

Comp & perks

Discretionary and formulaic incentive and retention awards
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
Hybrid work arrangement