Data Analytics Development Manager - SVP - Hybrid

Description

You will lead the data analytics platform, data gathering, tooling and overall data strategy for the Prime Services data team in this senior leadership role within Prime Services Technology.

The job calls for a thorough grasp of global markets financial data and the ability to turn it into useful business intelligence.

Prime Services Technology builds solutions for Prime Brokerage, Equity Finance, Delta One, Futures Execution and Clearing, and OTC Clearing. You will own analytics, data sourcing, distribution and data quality for Prime Services and work with other Markets teams that need its data.

You will manage a small group of analysts and developers, set their technical direction, and stay hands-on in day-to-day engineering.

The ideal person is a strong hands-on engineer, skilled in Python and Java, with deep knowledge of trade lifecycle data such as orders, executions, trade processing and position management. You will move between writing production code, gathering requirements from business stakeholders and quants, and leading the team to deliver analytics.

The team is spread across the US, Hong Kong and the UK. You will also oversee production processes and batch jobs that run during the Asia morning, keeping them stable and supported.

Strong communication is essential. You will work with business leaders, quantitative analysts and technology teams across Markets Technology and ICG Technology so that solutions meet business needs and fit the firm's direction.

Responsibilities

• Build and maintain data analytics pipelines and platforms in Python and Java.
• Write production code that is well tested and easy to maintain, and take part in code reviews to uphold engineering standards.
• Use AI-assisted development tools such as GitHub Copilot, Devin and Claude to speed up delivery, raise code quality and find new approaches.
• Help design and build AI-powered monitoring agents that improve operational visibility and automate routine production tasks.
• Show experience building workflow or data agents.
• Build and tune data sourcing integrations that pull from multiple platforms across Prime Services and Markets Technology.
• Create analytics tools and dashboards so business users and quants can gain insight from financial data.
• Design scalable solutions for large volumes of orders, executions, trades and position data.
• Build and run batch jobs and automated workflows that transform and distribute data.
• Diagnose and fix complex issues across the data platform stack.
• Lead and mentor a small team of developers and analysts with hands-on technical guidance, and manage their resourcing, task priorities and performance.
• Serve as the escalation point for local business and production support teams.
• Build a culture of engineering excellence, teamwork and steady improvement, keeping code, testing and operations to a high standard.
• Run production processes and batch jobs for the Asia morning, ensuring timely execution and quick issue resolution.
• Coordinate with the US and UK teams for clean handoffs and round-the-clock operational cover.
• Set up and maintain monitoring, alerting and incident response for critical data pipelines.
• Lead root cause analysis and deliver permanent fixes for production problems, keeping data-critical processes resilient.
• Work with key business SMEs and quants to understand their critical data and analytics needs.
• Turn complex business requirements into technical specifications and engineering solutions.
• Consult clients across Prime Brokerage, Equity Finance, Delta One, Futures Execution and Clearing, and OTC Clearing on their analytics needs.
• Spot shared data needs across requirements and build efficient, reusable solutions.
• Partner with other Markets teams that need Prime Services data to keep sharing smooth.
• Guide the rollout of data visualization tools and platforms for analytics and reporting.
• Lead sourcing work to bring in data from multiple platforms across Prime Services and Markets Technology.
• Keep data accurate, complete and timely across all analytics outputs.
• Set and monitor data quality rules, validation frameworks and remediation processes.
• Oversee metadata management and data lineage documentation for analytics pipelines.
• Ensure compliance with enterprise data standards and regulatory requirements.
• Lead integration across functions to meet goals, launch new products and improve processes.
• Analyze complex business, system and industry processes to design solutions to high-level problems.
• Plan work on large budgets, cross-functional projects or several projects at once, and set application methodologies and standards for analysis, design, coding, testing, debugging and deployment.
• Consult end users to define system functions and fold them into the overall design.
• Allocate work and coach developers, analysts and new joiners.
• Influence and negotiate with senior leaders and handle contact with external parties.
• Assess risk in business decisions with care for the firm's reputation and clients, drive compliance with laws, rules, policy and ethics, and report control issues openly.

Requirements

• At least 10 years of relevant experience.
• 12+ years in software engineering, data engineering or data analytics within banking or financial services.
• Experience delivering projects.
• Experience in systems analysis and building software applications.
• Recognized subject matter expert in applications development.
• Solid knowledge of clients' core business functions.
• Proven leadership, project management and development skills.
• Ability to build relationships and reach consensus.
• Hands-on experience with modern AI-assisted development and testing tools such as GitHub Copilot, Devin, Claude or equivalent, used to lift productivity and code quality.
• Hands-on experience building or contributing to AI agents for monitoring, alerting or workflow automation is strongly preferred.
• Proven ability to design, build and maintain production-grade data systems.
• Track record of leading small technical teams while remaining a significant individual contributor.
• Deep knowledge of markets financial data, including orders, executions, trade processing, position management and related trade lifecycle data. A Prime Services or Prime Brokerage background is strongly preferred.
• Experience working with quants and business stakeholders to turn 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 Python and Java for data pipelines, analytics tools and production applications.
• Extensive knowledge of data ingestion and distribution frameworks, both enterprise and open source.
• Deep understanding of markets financial data: orders, executions, trade processing, position management, P&L, risk and reference data.
• Experience with distributed messaging such as Kafka and distributed caching such as Gemfire or Redis.
• Proficient in SQL and in relational and NoSQL database systems.
• Experience designing and running 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, on-premises or cloud, is preferred.
• Experience implementing data visualization tools and platforms for analytics and reporting is a plus.
• Excellent verbal and written communication, including presenting to executive audiences.
• Strong ability to work with quants and business SMEs to understand complex data requirements.
• Works effectively with diverse, globally distributed teams.
• Able to work under pressure, facilitate discussions and run group meetings.
• Strong diplomacy for exchanging complex information between business and technology stakeholders.
• A bachelor's or university degree, or equivalent experience, preferably in computer science, information systems, mathematics, statistics, engineering or a related quantitative field.
• A master's degree or advanced certifications in relevant fields is preferred.

Conditions

Hybrid role: work from the office at least 3 days a week.

Full-time position based in Tampa, Florida, United States.

Part of a global team with members in the US, Hong Kong and the UK.

Salary range for the Tampa location: $141,440.00 to $212,160.00.

The posting is expected to close on Oct 20, 2026.

AI may be used to match your skills to roles, but people make and check all hiring decisions.

Benefits

• Eligible employees may receive discretionary and formulaic incentive and retention awards.
• Medical, dental and vision coverage.
• 401(k) plan.
• Life, accident and disability insurance.
• Wellness programs.
• Paid time off covering vacation, sick leave and paid holidays.
• Benefits vary by location, job level and date of hire; full details are on the company benefits site.