The Data Analytics Group Manager is accountable for management of complex/critical/large professional disciplinary areas. Leads and directs a team of professionals. Requires a comprehensive understanding of multiple areas within a function and how they interact in order to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Strong commercial awareness is a necessity. Generally accountable for delivery of a full range of services to one or more businesses/ geographic regions. Excellent communication skills required in order to negotiate internally, often at a senior level. Some external communication may be necessary. Accountable for the end results of an area. Exercises control over resources, policy formulation and planning. Primarily affects a sub-function. Involved in short- to medium-term planning of actions and resources for own area. Full management responsibility of a team or multiple teams, including management of people, budget and planning, to include performance evaluation, compensation, hiring, disciplinary actions and terminations and budget approval.
Responsibilities:
- Accountable for all products as well as designing and implementing both the tactical and strategic data.
- Serves as the subject matter expert for strategic data analysis, identifies insights and implications, as well as make strategic recommendations and develop data displays that clearly communicate complex analysis.
- Defines the service model for each new incubated data product or data product set across the various businesses and regions.
- Prepares and presents key business cases underpinning strategic investment initiatives to maintain or build out the product capability.
- Participates in strategic business engagements to build the right level of data inclusion into all business forums below the top exec level.
- Plans and manages on-going product investment and activity in-line with defined portfolio balance, capacity and capability planning and development.
- Builds a product improvement & innovation pipeline for prioritization and build an initial view of the underlying commercial value and potential.
- Ensures current product landscape and architecture is mapped out, and deeply understood from a product origination point through fulfillment, processing, billing, servicing and revenue realization and reporting.
- Desire to automate the Testing flows and reduce the time required to manually test products while ensuring Consistent, reliable Test Results.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
Qualifications:
- 10+ years experience in working with various data teams
- Detailed understanding of latest data technologies and solutions towards how they can help solve for next generation business needs.
- Use of tools such for statistical modeling of large data sets
- Minimum 4 years of experience on designing / developing Data Pipelines for Data Ingestion or Transformation using Java or Scala or Python
- Minimum 4 years of designing / developing applications with Monitoring, Build Tools, Version Control, Change Management to support DevOps pipelines.
- 6+ years of experience in creating Test Automation frameworks and tools to support Automated large scale Test Execution.
- Minimum 2 years of experience with Spark programming (Pyspark or scala or java).
- Minimum 2 years of experience with SQL and Shell Scripting experience.
- Minimum 3 years of people management experience.
- Extremely proficient in Data analysis and profiling, Data quality monitoring rules and Data quality issues resolution.
- Familiarity with machine learning implementation using PySpark.
Education:
- Bachelor’s/University degree or equivalent experience, potentially Masters degree
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Job Family Group:
Technology
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Job Family:
Data Analytics
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Time Type:
Full time
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Primary Location:
Irving Texas United States
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Primary Location Full Time Salary Range:
$156,160.00 - $234,240.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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Anticipated Posting Close Date:
Apr 24, 2025
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Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
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