C

Citi

Runs banking and payments for global clients

Technology Product Management Senior Analyst

Technical Product ManagementPosted on Nov 11
Full-timeIrving, TX, USA$146.5k

About the Job

Requirements

  • A bachelor's degree or foreign equivalent in Computer Engineering, Electronic Engineering, or a related field, and five years of experience in the offered job or a related information technology occupation performing advanced business analysis and information technology product management.
  • Five years of experience developing business requirements, gathering requirements, conducting user acceptance testing, and authoring business-critical documents needed for various software development life cycle compliance.
  • Five years of experience implementing Software as a Service applications focused on enhancing system performance, usability, and reliability.
  • Five years of experience analyzing project management practices using Agile and Waterfall methodologies, translating high-level product visions into detailed prioritized user stories, and actively participating in Agile sprint cycles.
  • Five years of experience evaluating database requirements and working with data teams to ensure data structures, integrity, consistency, and performance across applications.
  • Five years of experience working on operational issues and incidents in live environments and contributing analysis to resolve them within defined turnaround times.
  • Five years of experience assessing risk by reviewing and remaining compliant with applicable laws, rules, and regulations, and conducting and reporting control issues to facilitate workflow.

Responsibilities

  • Identify business problems or management objectives that can be addressed through data analysis.
  • Apply in-depth disciplinary knowledge to contribute to developing new techniques and improving processes and workflows for the area or function.
  • Analyze, manipulate, or process large datasets using statistical software.
  • Integrate Workforce Intelligence and industry expertise within a defined area.
  • Apply an in-depth understanding of how areas collectively integrate within the sub-function and coordinate and contribute to Workforce Intelligence reporting, data analytics, and overall business objectives.
  • Clean and manipulate raw data using statistical software.
  • Identify relationships, trends, and factors that could affect research results.
  • Collaborate with Product Owners by contributing analysis, documentation, and execution support for reporting and data analytics products, features, and enhancements.
  • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
  • Contribute to enterprise data product and platform modernization by translating product vision into capabilities, features, epics, and detailed user stories with clear acceptance criteria and technical constraints.
  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
  • Create graphs, charts, or other visualizations to communicate data analysis results using specialized software.
  • Execute activities across the end-to-end lifecycle of enterprise data products, including discovery, design, data pattern identification, dataset consolidation, enhancement planning, and support for roadmap and release activities.
  • Evaluate complex and dynamic data and platform issues with significant business impact, weigh multiple solution paths, balance conflicting 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 precisely frame problems for data engineering teams.
  • Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using data analysis results.
  • Apply established standards and best practices to create reusable, scalable, and governed datasets, and work with data engineering and architecture teams to productize datasets and expose them as reliable, high-performance application programming interfaces.
  • Read scientific articles, conference papers, and other research sources to identify emerging analytic trends and technologies.
  • Perform data acquisition, ingestion, and integration across internal and external sources, supporting transformation pipelines and a unified semantic and virtualization layer.
  • Work cross-functionally with data engineering, data architecture, security, risk, compliance, operations, and user experience teams to deliver secure, scalable data features on schedule.
  • Recommend data-driven solutions to key stakeholders.
  • Design and implement solutions that support compliant and secure data-access enablement in alignment with enterprise data governance standards, including automated data-request attestations, approvals, and privacy-risk mitigation workflows.

About the Company

Citi

Runs banking and payments for global clients

Citi runs banking, investment and payment services for companies, governments and individuals around the world. Its global network connects institutions with local banking systems, while its US consumer business sells credit cards and deposit accounts. Corporate clients use Citi to manage cash, finance trade and raise capital, and investors use its trading, custody and wealth services to hold and manage assets. The bank earns interest on loans and fees from payments, securities transactions, financial advice and account services. Citi traces its banking roots to 1812; the Citigroup holding company was formed in 1998, and its headquarters are in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1812

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