1,985 Data Science Management jobs in the United States

Analytics & Data Science Data Rules & Exception Management Director (Hybrid)

About Citi

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.

Citi’s Mission and Value Proposition explain what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities.

TheEnterprise Data Office (EDO) organization drives and enforcesdata quality across Citi.The EDO will define and enforce data-related policies and standards across Citi and equip the firm with the tools required to take ownership and accountability for data governance and management.This is achieved through setting theCiti Data GovernancePolicy (CDGP), definingCiti Data Governance Standardsand providing a governance framework for data ownership anddata quality throughout Citi. The EDO is the sponsor for the overall data quality program at Citi and associated Board reporting.

Job Summary

This senior leadership role is pivotal in leveraging advanced analytics and data science to drive enterprise-wide data quality and integrity. The Director will employ a data-driven approach to rigorously assess data quality rules, identify patterns, and predict downstream implications, enabling precise and effective decision-making. The role demands strong analytical acumen to pinpoint data anomalies, perform root cause analysis, and translate complex data insights into tangible remediation strategies and continuous improvement. Collaborating across data domains, this individual will ensure data fit-for-purpose and embed sustainable, analytically driven data quality practices, ultimately shaping how data quality is measured, monitored, and optimized across intricate data environments for enhanced trust and operational integrity.

Capabilities:

• Data Quality Analytics, Trend Analysis, and Predictive Modeling:
  • Drive the implementation of advanced statistical and analytical methods, including machine learning and predictive modeling, to detect anomalies, and uncover underlying patters.
  • Leverage data profiling and predictive modeling to forecast trends, rules refinement, and risk factors that could potentially impact the business
  • Stay abreast of emerging trends across the data landscape, identifying patterns and trends in data that could drive innovation or improve operational efficiency.
• Data Quality & Compliance:
  • Support the development, implementation, and continuous refinement of data quality rules specific to finance datasets, ensuring alignment with regulatory standards such as GDPR, SOX, and other applicable compliance frameworks.
  • Develop and deliver reporting to support detailed analysis of finance data quality to support identification of issues, root causes, and actionable remediation strategies.
  • Establish robust reporting and dashboards to track, trend, and communicate data quality and data quality process metrics, highlighting alignment to SLAs, alignment to data quality thresholds, and areas for improvement.
  • Provide reporting and analytics to support data quality validation and cleansing processes to minimize data discrepancies and ensure accuracy in financial reporting.
• Exception & Break Management:
  • Develop and implement frameworks to identify, analyze, and resolve exceptions and breaks in data systems, such as reconciliation discrepancies, transactional inconsistencies, or reporting anomalies.
  • Design automated solutions to detect and address breaks or anomalies proactively, ensuring minimal business disruption.
  • Support and enable the use of data insights from key enabling technologies including data catalog, data lineage, data quality rules engines, exception workflow, and underlying reporting capabilities.
• Data Governance & Regulatory Reporting
  • Support engagement with regulatory bodies, effectively assisting the firm in its communication of remediation status and managing stakeholder expectations during regulatory reviews and audits.
  • Understand end use case requirements for data pipelines, e.g., financial regulatory reporting requirements and critical business processes, and assist in the management and oversight of data quality exception health supporting these pipelines.
• Strategic Data Quality Leadership:
  • Engage senior stakeholders to influence priorities, secure alignment, and drive adoption of the Data Quality framework and tools.
  • Provide strategic direction on the application of analytics to improve data quality for datasets across the firm in support of management reporting, risk management, and regulatory compliance, including direction and insight into reporting and trending.
• Audit & Risk Partnership:
  • Partner with internal audit, compliance, finance, and risk management functions to validate data governance controls and evidence regulatory compliance.
• Team & Capability Development:
  • Mentor and develop talent within the data science team, promoting a culture of continuous learning, collaboration, and innovation, while fostering cross-functional collaboration between technology, finance, and operations teams to ensure data alignment and integrity.

Qualifications:

The role requires strong analytical, interpersonal and leadership skills that rely on influence and building effective partnerships to execute on our delivery plans and controls in a systematic, measurable, and effective way.

• 10+ years of experience in data science, data engineering, analytics, or a related field within the financial services industry.
• Proven experience managing complex data projects, particularly in financial data rule enforcement and exception management.
• Strong understanding of financial data structures, regulations, and market mechanics.
• Deep expertise in programming languages required(examples: Python, R, SQL, Java, Ruby, Rust).
• Strong statistical math skills required (examples: linear algebra, calculus and statistics are needed for Time Series Forecasting).
• Expertise in programming applications (e.g., Python, R, SQL), and databases (e.g. Hadoop)
• Skilled with data governance solutions (e.g., Collibra, Alation, Manta, Ab Initio, etc.) and financial software (e.g., Bloomberg, Reuters).
• Developed visual dashboards (examples: D3, Altair, Matplotlib, Tableau, Power BI).
• Experience with data governance and data quality management, particularly in relation to financial datasets.
• Advanced proficiency in predictive modeling, machine learning, and statistical analysis.

A successful candidate will have the following attributes:

• Leadership experience with the ability to manage cross-functional teams and deliver complex projects.
• Strong strategic thinking and decision-making skills.
• Excellent problem-solving ability, particularly in high-pressure financial environments.
• Exceptional communication skills, with the ability to present complex analytical insights to senior executives and non-technical stakeholders.

Education:

• Bachelor's degree/University degree or equivalent experience
• Master's degree preferred

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Job Family Group:

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Job Family:

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Time Type:

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Primary Location:

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Primary Location Full Time Salary Range:

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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Most Relevant Skills

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Other Relevant Skills

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Anticipated Posting Close Date:

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Analytics & Data Science Data Rules & Exception Management Director (Hybrid)

About Citi

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.

Citi’s Mission and Value Proposition explain what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities.

The Enterprise Data Office (EDO) organization drives and enforces data quality across Citi. The EDO will define and enforce data-related policies and standards across Citi and equip the firm with the tools required to take ownership and accountability for data governance and management. This is achieved through setting the Citi Data Governance Policy (CDGP) , defining Citi Data Governance Standards and providing a governance framework for data ownership and data quality throughout Citi. The EDO is the sponsor for the overall data quality program at Citi and associated Board reporting.

Job Summary

This senior leadership role is pivotal in leveraging advanced analytics and data science to drive enterprise-wide data quality and integrity. The Director will employ a data-driven approach to rigorously assess data quality rules, identify patterns, and predict downstream implications, enabling precise and effective decision-making. The role demands strong analytical acumen to pinpoint data anomalies, perform root cause analysis, and translate complex data insights into tangible remediation strategies and continuous improvement. Collaborating across data domains, this individual will ensure data fit-for-purpose and embed sustainable, analytically driven data quality practices, ultimately shaping how data quality is measured, monitored, and optimized across intricate data environments for enhanced trust and operational integrity.

Capabilities:

• Data Quality Analytics, Trend Analysis, and Predictive Modeling:

• Drive the implementation of advanced statistical and analytical methods, including machine learning and predictive modeling, to detect anomalies, and uncover underlying patters.

• Leverage data profiling and predictive modeling to forecast trends, rules refinement, and risk factors that could potentially impact the business

• Stay abreast of emerging trends across the data landscape, identifying patterns and trends in data that could drive innovation or improve operational efficiency.

• Data Quality & Compliance:

• Support the development, implementation, and continuous refinement of data quality rules specific to finance datasets, ensuring alignment with regulatory standards such as GDPR, SOX, and other applicable compliance frameworks.

• Develop and deliver reporting to support detailed analysis of finance data quality to support identification of issues, root causes, and actionable remediation strategies.

• Establish robust reporting and dashboards to track, trend, and communicate data quality and data quality process metrics, highlighting alignment to SLAs, alignment to data quality thresholds, and areas for improvement.

• Provide reporting and analytics to support data quality validation and cleansing processes to minimize data discrepancies and ensure accuracy in financial reporting.

• Exception & Break Management:

• Develop and implement frameworks to identify, analyze, and resolve exceptions and breaks in data systems, such as reconciliation discrepancies, transactional inconsistencies, or reporting anomalies.

• Design automated solutions to detect and address breaks or anomalies proactively, ensuring minimal business disruption.

• Support and enable the use of data insights from key enabling technologies including data catalog, data lineage, data quality rules engines, exception workflow, and underlying reporting capabilities.

• Data Governance & Regulatory Reporting

• Support engagement with regulatory bodies, effectively assisting the firm in its communication of remediation status and managing stakeholder expectations during regulatory reviews and audits.

• Understand end use case requirements for data pipelines, e.g., financial regulatory reporting requirements and critical business processes, and assist in the management and oversight of data quality exception health supporting these pipelines.

• Strategic Data Quality Leadership:

• Engage senior stakeholders to influence priorities, secure alignment, and drive adoption of the Data Quality framework and tools.

• Provide strategic direction on the application of analytics to improve data quality for datasets across the firm in support of management reporting, risk management, and regulatory compliance, including direction and insight into reporting and trending.

• Audit & Risk Partnership:

• Partner with internal audit, compliance, finance, and risk management functions to validate data governance controls and evidence regulatory compliance.

• Team & Capability Development:

• Mentor and develop talent within the data science team, promoting a culture of continuous learning, collaboration, and innovation, while fostering cross-functional collaboration between technology, finance, and operations teams to ensure data alignment and integrity.

Qualifications:

The role requires strong analytical, interpersonal and leadership skills that rely on influence and building effective partnerships to execute on our delivery plans and controls in a systematic, measurable, and effective way.

• 10+ years of experience in data science, data engineering, analytics, or a related field within the financial services industry.

• Proven experience managing complex data projects, particularly in financial data rule enforcement and exception management.

• Strong understanding of financial data structures, regulations, and market mechanics.

• Deep expertise in programming languages required (examples: Python, R, SQL, Java, Ruby, Rust).

• Strong statistical math skills required (examples: linear algebra, calculus and statistics are needed for Time Series Forecasting).

• Expertise in programming applications (e.g., Python, R, SQL), and databases (e.g. Hadoop)

• Skilled with data governance solutions (e.g., Collibra, Alation, Manta, Ab Initio, etc.) and financial software (e.g., Bloomberg, Reuters).

• Developed visual dashboards (examples: D3, Altair, Matplotlib, Tableau, Power BI).

• Experience with data governance and data quality management, particularly in relation to financial datasets.

• Advanced proficiency in predictive modeling, machine learning, and statistical analysis.

A successful candidate will have the following attributes:

• Leadership experience with the ability to manage cross-functional teams and deliver complex projects.

• Strong strategic thinking and decision-making skills.

• Excellent problem-solving ability, particularly in high-pressure financial environments.

• Exceptional communication skills, with the ability to present complex analytical insights to senior executives and non-technical stakeholders.

Education:

• Bachelor's degree/University degree or equivalent experience

• Master's degree preferred

Job Family Group:

Data Governance

Job Family:

Data Governance Foundation

Time Type:

Full time

Primary Location:

Irving Texas United States

Primary Location Full Time Salary Range:

$170,000.00 - $300,000.00

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.

Most Relevant Skills

Constructive Debate, Data Governance, Data Management, Data Quality, Internal Controls, Management Reporting, Policy and Procedure, Program Management, Risk Controls and Monitors, Risk Management.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date:

Sep 05, 2025

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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 ( .

View Citi’s EEO Policy Statement ( and the Know Your Rights ( poster.

Citi is an equal opportunity and affirmative action employer.

Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Executive Assistant, Program Management Office & Data Science at Zooz summary:

An Executive Assistant at Zoox supports senior leaders in the Program Management Office and Data Science departments by managing complex calendars, coordinating meetings, and handling confidential administrative tasks. The role requires excellent organizational skills, discretion, and the ability to multitask in a fast-paced, dynamic environment. Responsibilities also include travel booking, expense reporting, event support, onboarding assistance, and facilitating cross-functional communication.

• Hands-on meeting scheduling, coordination, setting agendas, securing reports, and note taking
• Prioritizing VP and Senior Manager's time effectively
• Supporting VP and Senior Manager with cross-functional relationship building
• Assisting with team off-sites and events
• Helping with new hire onboarding
• Complete administrative tasks including booking domestic and international travel, expense reporting, calendar management, and meeting arrangements

• 8+ years of executive assistant experience
• Strong organizational skills and appreciation for the challenges of supporting a growing team of diverse personalities and programs
• Comfortable working in a dynamic environment
• Sensitivity to handling critical and confidential information
• Excellent written and verbal communication skills
• Technical computer skills including proficiency with Google for Business Suite, MS Office Suite, Keynote, and other Apple products

• Ability to learn quickly, ask questions, and be solution-oriented
• Previous exposure to company boards, public officials, and other senior-level stakeholdersBachelor's degree

Keywords:

executive assistant, program management, data science support, calendar management, meeting coordination, travel booking, confidential information, organizational skills, administrative support, cross-functional communication

Executive Assistant, Program Management Office & Data Science at Zooz summary:

An Executive Assistant at Zoox supports senior leaders in the Program Management Office and Data Science departments by managing complex calendars, coordinating meetings, and handling confidential administrative tasks. The role requires excellent organizational skills, discretion, and the ability to multitask in a fast-paced, dynamic environment. Responsibilities also include travel booking, expense reporting, event support, onboarding assistance, and facilitating cross-functional communication.

• Hands-on meeting scheduling, coordination, setting agendas, securing reports, and note taking
• Prioritizing VP and Senior Manager's time effectively
• Supporting VP and Senior Manager with cross-functional relationship building
• Assisting with team off-sites and events
• Helping with new hire onboarding
• Complete administrative tasks including booking domestic and international travel, expense reporting, calendar management, and meeting arrangements

• 8+ years of executive assistant experience
• Strong organizational skills and appreciation for the challenges of supporting a growing team of diverse personalities and programs
• Comfortable working in a dynamic environment
• Sensitivity to handling critical and confidential information
• Excellent written and verbal communication skills
• Technical computer skills including proficiency with Google for Business Suite, MS Office Suite, Keynote, and other Apple products

• Ability to learn quickly, ask questions, and be solution-oriented
• Previous exposure to company boards, public officials, and other senior-level stakeholdersBachelor's degree

Keywords:

executive assistant, program management, data science support, calendar management, meeting coordination, travel booking, confidential information, organizational skills, administrative support, cross-functional communication

Executive Assistant, Program Management Office & Data Science at Zooz summary:

An Executive Assistant at Zoox supports senior leaders in the Program Management Office and Data Science departments by managing complex calendars, coordinating meetings, and handling confidential administrative tasks. The role requires excellent organizational skills, discretion, and the ability to multitask in a fast-paced, dynamic environment. Responsibilities also include travel booking, expense reporting, event support, onboarding assistance, and facilitating cross-functional communication.

• Hands-on meeting scheduling, coordination, setting agendas, securing reports, and note taking
• Prioritizing VP and Senior Manager's time effectively
• Supporting VP and Senior Manager with cross-functional relationship building
• Assisting with team off-sites and events
• Helping with new hire onboarding
• Complete administrative tasks including booking domestic and international travel, expense reporting, calendar management, and meeting arrangements

• 8+ years of executive assistant experience
• Strong organizational skills and appreciation for the challenges of supporting a growing team of diverse personalities and programs
• Comfortable working in a dynamic environment
• Sensitivity to handling critical and confidential information
• Excellent written and verbal communication skills
• Technical computer skills including proficiency with Google for Business Suite, MS Office Suite, Keynote, and other Apple products

• Ability to learn quickly, ask questions, and be solution-oriented
• Previous exposure to company boards, public officials, and other senior-level stakeholdersBachelor's degree

Keywords:

executive assistant, program management, data science support, calendar management, meeting coordination, travel booking, confidential information, organizational skills, administrative support, cross-functional communication

Need Banking domain experience. Good data analysis and SQL skills and very good with large data crunching. Minimum 5 years of hands-on analytical experience in working as a Data and Business Analyst. Experience leading projects end to end including international stakeholders. Conduct end-to-end evaluations of existing processes to design and implement process enhancements.

Need Banking domain exp is must.

Need good Data analysis and sql skills and very good with large data crunching
• Minimum 5 years of hands-on analytical experience in working as a Data and Business Analyst
• Experience leading projects end to end including international stakeholders
• Conduct end-to-end evaluations of existing processes to design and implement process enhancements and role redesigns to streamline operations and improve efficiency
• Financial markets domain - require to have basic knowledge and understanding of Capital Market Products - EQ, Rates - Bonds & IRS, Credit - CDS and Bonds, Commodities etc. along with understanding of basic trade life cycle (from dealer broker perspective)
• Experience working with relational / non-relational databases to turn into insights
• Experience with tools like SQL, Excel & Advanced Excel, Project Management tools like Jira, Confluence, SharePoint
• Hands-on experience in Scripting Languages (Python)
• Experience in troubleshooting code and logs
• Excellent interpersonal and communication skills in English

At DuPont, our purpose is to empower the world with essential innovations to thrive. We work on things that matter. Whether it’s providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world. Discover the many reasons the world’s most talented people are choosing to work at DuPont. Why Join Us | DuPont Careers (

Reporting to the Data Operations Lead in the DuPont Water Solutions business, the Data Analysis Intern will be responsible for evaluating data integrity to support the business functions. DWS has multiple sources for its databases and conflicts must be researched and resolved. The intern will work in Microsoft Excel identifying errors or missing data, leverage AI and other sources of information to resolve the errors and propose solutions. The intern will be able to meet with members of our DWS cross functional teams and learn how we use our data in day-to-day and long-term decision making (supply chain, product management, marketing, strategy, finance).

Some possible work assignments might be:

• Using AI and web searches to identify “Customer Groups” within our global customer list (i.e. companies with the same parent corporation)

• Comparing related datasets from different systems to find and fix discrepancies

• Automating data cleaning and data manipulation tasks using Power Query (functionality within Excel)

Role Requirements

• High school senior

• Interest in learning Microsoft Excel and working with AI platforms.

• Interest in data analysis and best practices for data management

• Highly motivated and results-driven student willing to learn

• Strong organizational and time management skills

• Ability to work in the office as needed

Join our Talent Community ( to stay connected with us!

DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information ( .

DuPont offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page ( .

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.
MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

• Update training and test model databases with new or amended synthetic textual and image data.
• Modify and refine machine learning data creation, annotation, and rating guidelines.

• Initiate model training processes using internal tools and command-line interfaces.
• Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

• Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
• Handle data efficiently, ensuring its integrity throughout the workflow.
• Engage in data relevance tasks, ensuring data sets are aligned with project goals.
• Annotate data accurately, ensuring it adheres to set guidelines.

• Conduct manual quality analysis of model results.
• Recognize error patterns and report anomalies for further investigation.
• Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
• Implement basic quality control measures and ensure the reliability of processed data.
• Utilize intermediate data analysis techniques to extract insights and inform decision-making.
• Arbitrate discrepancies effectively, ensuring consistent data quality.

• Apply basic knowledge of natural language processing and linguistics to data processing tasks.
• Ensure linguistic accuracy in all processed and annotated data.

• Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

• Ability to work in a fast-paced, collaborative environment.
• Excellent communication skills

• Familiarity with command-line tools and interfaces.
• Strong analytical skills with the ability to identify patterns and anomalies.