Data Analytics Development Manager

Citi

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Tampa, FL
Salary: $141,440–$212,160 / yr
Employment: Full-time
Posted: 14 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k

This role $177k

$132k $221k

below market most similar roles pay here above market

This role pays more than 52% of similar roles. Most pay $140,412–$204,500 — the blue band above. At the midpoint, this role pays about $177k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 268 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 251 roles with salary data.

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At a glance

TL;DR · Data Analytics Development Manager

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The Data Analytics Development Manager - SVP - Hybrid is a senior leadership role within Prime Services Technology, where you will manage and direct the data analytics platform, data gathering, and overall data strategy. You will lead a small team of analysts and developers, providing technical direction while remaining deeply embedded in day-to-day engineering work. Key responsibilities include designing and maintaining data analytics pipelines, building data sourcing integrations, and developing analytics tools and dashboards. You will utilize Python, Java, SQL, and AI-assisted development tools like GitHub Copilot and Claude. The role requires deep expertise in financial data across the trade lifecycle, including orders, executions, and position management, to solve complex business problems for Prime Brokerage, Equity Finance, Delta One, Futures Execution and Clearing, and OTC Clearing businesses.

Skills

Python Java SQL Kafka Redis Gemfire CI/CD Data Pipelines Data Lakes NoSQL GitHub Copilot Claude Devin Batch Processing Data Quality Data Visualization Distributed Systems Containerization

What you'll do

Design, develop, and maintain data analytics pipelines and platforms using Python and Java.
Build and optimize data sourcing integrations to ingest data from multiple platforms within Prime Services.
Develop analytics tools and dashboards that enable business users and quantitative analysts to derive insights.
Write production-quality code and participate in code reviews to enforce engineering best practices.
Manage and lead a small team of developers and data analysts by providing technical direction and mentorship.
Oversee production processes and batch jobs during Asia morning hours to ensure operational stability.
Translate complex business requirements from stakeholders into technical specifications and actionable engineering solutions.
Establish and monitor data quality rules, validation frameworks, and remediation processes for all analytics outputs.

What we're looking for

12+ years of experience in software engineering, data engineering, or data analytics within Banking or Financial Services.
10+ years of relevant experience in implementing projects and systems analysis and programming of software applications.
Strong hands-on proficiency in Python and Java for building data pipelines, analytics tools, and production applications.
Deep business knowledge of financial data, including orders, executions, trade processing, position management, and the trade lifecycle.
Demonstrated experience managing small technical teams while remaining a significant individual contributor.
Experience supporting global production environments, including off-hours batch processing and operational support.
Bachelor’s degree or equivalent experience, preferably in a quantitative field (Master’s degree preferred).
Experience building AI-powered agents for monitoring or workflow automation (preferred).

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