Technology Product Management Senior Analyst

Citi • Irving, TX

10h • Hybrid

About The Position

Citibank, N.A. is hiring a Technology Product Management Senior Analyst in Irving, Texas. The role applies data analysis and technology product management expertise to identify business problems, support Workforce Intelligence reporting and analytics, and contribute to enterprise data product and platform modernization. The analyst works across the lifecycle of enterprise data products, from discovery and design through enhancement planning, roadmap and release support, and ongoing operational issue resolution.

The role translates product vision into capabilities, features, epics, and detailed user stories with clear acceptance criteria and technical constraints. It includes acquiring, ingesting, integrating, cleaning, and analyzing data from multiple internal and external sources; evaluating data and platform issues; helping productize governed datasets and expose them through reliable, high-performance APIs; and designing compliant, secure data-access workflows. The analyst collaborates with Product Owners and cross-functional teams to deliver scalable data features and data-driven recommendations.

The position is based in Irving, Texas. A telecommuting or hybrid schedule may be permitted within a commutable distance from the worksite, subject to Citi policies and protocols. The role is full-time, 40 hours per week.

Requirements

• Bachelor’s degree, or foreign equivalent, in Computer Engineering, Electronic Engineering, or a related field.
• Five years of experience in the job offered or a related IT occupation performing advanced business analysis and IT product management.
• Five years of experience developing business requirements, gathering requirements, performing user acceptance testing, and authoring business-critical documents for SDLC compliance.
• Five years of experience implementing SaaS applications focused on system performance, usability, and reliability.
• Five years of experience analyzing project management practices using Agile and Waterfall methodologies, translating high-level product visions into prioritized user stories, and participating in Agile sprint cycles.
• Five years of experience evaluating database requirements and working with data teams on data structures, integrity, consistency, and application performance.
• Five years of experience analyzing live-environment operational issues and incidents to help resolve them within defined turnaround times.
• Five years of experience assessing risk, reviewing compliance with applicable laws, rules, and regulations, and conducting and reporting control issues.

Responsibilities

• Identify business problems and management objectives that can be addressed through data analysis, and recommend data-driven solutions to stakeholders.
• Analyze, manipulate, process, clean, and integrate large data sets using statistical software and data pipelines.
• Identify relationships, trends, and other factors that may affect research results; compare models using statistical performance metrics.
• Apply sampling techniques or complete-enumeration methods to determine groups to be surveyed.
• Create graphs, charts, and other visualizations to communicate data-analysis results.
• Contribute analysis, documentation, and execution support for reporting and data analytics products, features, and enhancements in collaboration with Product Owners.
• Translate product vision into capabilities, features, epics, and prioritized user stories with clear acceptance criteria and technical constraints.
• Execute activities throughout the enterprise data product lifecycle, including discovery, design, data pattern identification, dataset consolidation, enhancement planning, and roadmap and release support.
• Evaluate complex data and platform issues, weigh solution paths and stakeholder needs, and formulate recommendations grounded in data, system behavior, and architectural constraints.
• Filter, prioritize, validate, and synthesize technical and business inputs to clarify requirements and frame problems for data engineering teams.
• Apply standards and best practices for reusable, scalable, governed datasets, working with data engineering and architecture teams to productize datasets and expose them as reliable, high-performance APIs.
• Acquire, ingest, and integrate data across internal and external sources to support transformation pipelines and a unified semantic and virtualization layer.
• Collaborate with data engineering, data architecture, security, risk, compliance, operations, and UX teams to deliver secure, scalable data features on schedule.
• Design and implement compliant, secure data-access enablement aligned with enterprise data governance standards, including automated request attestations, approvals, and privacy risk mitigation workflows.
• Research scientific articles, conference papers, and other sources to identify emerging analytic trends and technologies.
• Identify business solutions such as budgeting, staffing, and marketing decisions based on data-analysis results.
• Develop business requirements, gather requirements, conduct user acceptance testing, and author business-critical SDLC compliance documents.
• Implement SaaS applications focused on improving system performance, usability, and reliability.
• Analyze project management practices using Agile and Waterfall methodologies, and participate in Agile sprint cycles.
• Evaluate database requirements and work with data teams to ensure data structures, integrity, consistency, and performance across applications.
• Analyze operational issues and incidents in live environments to support resolution within defined turnaround times.
• Assess risk, review compliance with applicable laws, rules, and regulations, and conduct and report control issues to facilitate workflow.

Benefits

• Medical, dental, and vision coverage
• 401(k)
• Life, accident, and disability insurance
• Wellness programs
• Paid time off, including vacation, sick leave, and paid holidays
• Eligible employees may receive discretionary and formulaic incentive and retention awards

What This Job Offers

• Job Type: Full-time
• Career Level: Senior