4,026 First Data jobs in the United States
Our first Data Engineer
Posted 2 days ago
Job Viewed
Job Description
Elicit is an AI research assistant that uses language models to help professional researchers and high-stakes decision makers break down hard questions, gather evidence from scientific/academic sources, and reason through uncertainty.
What we're aiming for:
Elicit radically increases the amount of good reasoning in the world.
For experts, Elicit pushes the frontier forward.
For non-experts, Elicit makes good reasoning more affordable. People who don't have the tools, expertise, time, or mental energy to make well-reasoned decisions on their own can do so with Elicit.
Elicit is a scalable ML system based on human-understandable task decompositions, with supervision of process, not outcomes. This expands our collective understanding of safe AGI architectures.
Visit our Twitter to learn more about how Elicit is helping researchers and making progress on our mission.
Why we're hiring for this roleTwo key reasons:
Currently, Elicit primarily works over academic papers. One of your key initial responsibilities will be to build a complete corpus of these documents, available as soon as they're published, combining different data sources and ingestion methods.
We're actively working to broaden the sorts of tasks you can accomplish in Elicitnecessarily broadening the types of information we can ingest and surface back to users. We need a data engineer to figure out the best way to quickly stand up these new integrations, and transform massive amounts of heterogeneous data in such a way as to make it usable by LLMs.
In general, we're looking for someone who can architect and implement robust, scalable solutions to handle our growing data needs while maintaining high performance and data quality.
Our tech stackData pipeline: Python, Flyte, Spark
Frontend: Next.js, TypeScript, and Tailwind
Backend: Node and Python
We like static type checking in Python and TypeScript
All infrastructure runs in Kubernetes across a couple of clouds
We use GitHub for code reviews and CI
Consider the questions:
How would you optimize a Spark job that's processing a large amount of data but running slowly?
What are the differences between RDD, DataFrame, and Dataset in Spark? When would you use each?
How does data partitioning work in distributed systems, and why is it important?
How would you implement a data pipeline to handle regular updates from multiple academic paper sources, ensuring efficient deduplication?
If you have a solid answer for thesewithout reference to documentationthen we should chat!
Location and travelWe have a lovely office in Oakland, CA, but we don't all work from there all the time. It's important to us to spend time with our teammates, however, so we ask that all Elicians spend 1 week out of every 6 with teammates.
We have a quarterly team retreat, normally in and around the SF bay area.
We have quarterly co-working weeks (offset from the team retreats) in our Oakland office.
If you come to the retreats and co-working weeks, you'll meet our expectations for in-person time!
There is flexibility around the specifics here: if you're not sure you can make this work, get in touch.
5+ years of experience as a data engineer building core datasets and supporting business verticals with high data volumes
Strong proficiency in Python (5+ years experience)
Experience with architecting and optimizing large data pipelines with Spark
Strong SQL skills, including understanding of aggregation functions, window functions, UDFs, self-joins, partitioning, and clustering approaches
Experience with Parquet file formats and other columnar data storage formats
Strong data quality management skills
Ability to balance technical expertise with creative problem-solving
Excited to interact with product/web app and help ship new features (e.g., real-time updates, advanced filtering options)
Experience shipping scalable data solutions in the cloud (e.g., AWS, GCP, Azure), across multiple data stores and methodologies
Familiarity with web crawling technologies and best practices for data extraction from websites
Experience in developing deduplication processes for large datasets
Hands-on experience with full-text extraction and processing from various document formats (PDF, HTML, XML, etc.)
Experience working with academic research databases or scientific literature
Familiarity with machine learning concepts and their application in search technologies
Experience with distributed computing frameworks beyond Spark (e.g., Dask, Ray)
Knowledge of academic publishing processes and metadata standards
Hands-on experience with Airflow, DBT, or Hadoop
Experience with data lake, data warehouse, and lakehouse paradigms.
You'll own:
Building and optimizing our academic research paper pipeline
You'll architect and implement robust, scalable solutions to handle our growing data needs while maintaining high performance and data quality.
You'll work on efficiently processing, deduplicating, and indexing hundreds of millions of research papers.
Your goal will be to make Elicit the most complete and up-to-date database of scholarly sources.
Enhancing Elicit's data infrastructure
You'll optimize our Spark jobs and data pipelines to handle large amounts of data efficiently.
You'll implement data partitioning strategies in our distributed systems to improve performance.
You will transform the data space Elicit operates over: from academic papers, to other structured and unstructured documents, to spreadsheets and presentations, to rich media like audio and video.
Maintaining and improving data quality
You'll implement robust data quality management processes to ensure the accuracy and reliability of our academic database.
You'll work on developing defenses against unexpected changes from publishers to maintain data integrity.
Your first week:
Start building foundational context
Get to know your team, our stack (including Python, Flyte, and Spark), and the product roadmap.
Familiarize yourself with our current data pipeline architecture and identify areas for potential improvement.
Make your first contribution to Elicit
Complete your first Linear issue related to our data pipeline or academic paper processing.
Have a PR merged into our monorepo, demonstrating your understanding of our development workflow.
Gain understanding of our CI/CD pipeline, monitoring, and logging tools specific to our data infrastructure.
Your first month:
You'll complete your first multi-issue project
Tackle a significant data pipeline optimization or enhancement project.
Collaborate with the team to implement improvements in our academic paper processing workflow.
You're actively improving the team
Contribute to regular team meetings and hack days, sharing insights from your data engineering expertise.
Add documentation or diagrams explaining our data pipeline architecture and best practices.
Suggest improvements to our data processing and storage methodologies.
Your first quarter:
You're flying solo
Independently implement significant enhancements to our data pipeline, improving efficiency and scalability.
Make impactful decisions regarding our data architecture and processing strategies.
You've developed an area of expertise
Become the go-to resource for questions related to our academic paper processing pipeline and data infrastructure.
Lead discussions on optimizing our data storage and retrieval processes for academic literature.
You actively research and improve the product
Propose and scope improvements to make Elicit more comprehensive and up-to-date in terms of scholarly sources.
Identify and implement technical improvements to surpass competitors like Google Scholar in terms of coverage and data quality.
This role will report directly to James, our Head of Engineering, and work very closely with the rest of the engineering team:
Luke (AI engineer, full-stack)
Panda (AI engineer, infra)
Justin (ML Engineer)
You'll also spend a lot of time collaborating with Kevin (Head of Product), and co-founders Jungwon & Andreas.
Compensation, benefits, and perksIn addition to working on important problems as part of a productive and positive team, we also offer great benefits (with some variation based on location):
Flexible work environment: work from our office in Oakland or remotely with time zone overlap (between GMT and GMT-8), as long as you can travel for in-person retreats and coworking events
Fully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your family
Flexible vacation policy, with a minimum recommendation of 20 days/year + company holidays
401K with a 6% employer match
A new Mac + $1,000 budget to set up your workstation or home office in your first year, then $00 every year thereafter
1,000 quarterly AI Experimentation & Learning budget, so you can freely experiment with new AI tools to incorporate into your workflow, take courses, purchase educational resources, or attend AI-focused conferences and events
A team administrative assistant who can help you with personal and work tasks
You can find more reasons to work with us in this thread!
For all roles at Elicit, we use a data-backed compensation framework to keep salaries market-competitive, equitable, and simple to understand. For this role, we target starting ranges of:
Senior (L4): 185-270k + equity
Expert (L5): 215-305k + equity
Principal (L6): > 260 + significant equity
We're optimizing for a hire who can contribute at a L4/senior-level or above.
We also offer above-market equity for all roles at Elicit, as well as employee-friendly equity terms (10-year exercise periods).
Data Services Specialist
Posted 8 days ago
Job Viewed
Job Description
Position Information
Posting Number
F00333P
Classification Title
Non-Tenure Track Open Rank Faculty
Position Title
Data Services Specialist
GSU Information
Georgia State University is a national model for innovation and opening opportunities for all, among the top five most innovative by U.S. News & World Report, ranked 1st among public universities in undergraduate teaching, the number 1 nonprofit university to award bachelor's degrees to African American students, 4th in the country for its first-year student experience, and highly ranked for enabling the social and economic mobility of its students. Among the most diverse universities in the nation, Georgia State opens global perspectives as the number 1 U.S. public university sending African American students to study abroad.
A regional gateway to higher education, the five suburban Perimeter College campuses provide more than 30 associate degree pathways. The downtown Atlanta campus offers more than 250 degree programs in 100 fields of study at the undergraduate, graduate and first-professional degree levels.
With five university-wide research centers and numerous centers and institutes at the college and school levels, Georgia State's interdisciplinary, dynamic and productive research enterprises address major health and societal challenges. It is one of only 146 universities with an R1 designation from the Carnegie Foundation, an honor reserved for the nation's most active research institutions. Outgoing research expenditures have doubled in the last decade and topped $1.2 billion over the last six years, an indication of the University's rapid research growth.
Georgia State is vital to the regional economy, with a more than $.9 billion economic impact, and is also a vital part of Atlanta's vibrant arts and entertainment community, with highly regarded programs in music, art, creative writing and film, the Rialto Center for the Arts, and the Creative Media Industries Institute that contributes to innovation and the workforce for interactive media and media entrepreneurship.
General information on faculty roles and responsibilities can be obtained from the Faculty Handbook and the Office of Faculty Affairs website All faculty at Georgia State are, as part of their essential job duties, expected to: (1) be physically present on-campus as needed to contribute to Georgia State's in-person educational experience, and (2) be able to teach in each of the following instructional modalities - in-person, online, or blended/hybrid - as determined by their Department Chair or Dean.
Department
Library Research Data Services
College
University Library
Campus
Atlanta
Position Type
Full Time Faculty
Posting Type
External
About the Department
The University Library at the main Atlanta Campus provides one of the most attractive, open, and inviting educational facilities in the Southeast. With over 1.25 million annual visitors, the library is an integral part of the University community. The library is a valued partner within the campus community, offering a modern, inviting, and centralized facility supporting teaching and research with extensive collections and outstanding assistance. Learn more about the University Library at lib.gsu.edu .
This position is part of the Research Data Services (RDS) Department of professionals with expertise in supporting data analysis tools & methods, data visualization, finding data & statistics, data collection, and data cleaning & management across academic disciplines (details at lib.gsu.edu/data ).
Position Description
The University Library's Research Data Services (RDS) Department seeks an intellectually curious and innovative colleague to join us as a Data Services Specialist. The RDS Department's array of support services directly bolsters the University's strategic areas of Innovating Research, Scholarship & Creative Activity , Student Success 2.0 , and Beyond College to Career . If you are passionate about igniting a passion for data in others, this position is for you!
We welcome a colleague who is eager to collaborate with campus researchers on their data-related projects and to enrich data literacy teaching and learning efforts across campus. The Data Services Specialist will:
- Assist university students, staff, and faculty in the use of data software, coding languages, and tools (SPSS primarily; SAS secondarily)
- Support campus researchers in finding, evaluating, wrangling, cleaning, analyzing, and visualizing data
- Provide individual and small-group consultations, live workshops, and course-embedded instruction in data resources, tools, and methods
- Develop asynchronous virtual learning strategies, including contributing to the GSU Data Ready! Badges digital micro-credentials program (details at lib.gsu.edu/data-ready )
- Work with students at all levels in learning the data literacy tools and skills needed to succeed in college and future careers
- Collaborate with other members of the home department (Research Data Services ) and other relevant University Library units in serving a variety of Georgia State University colleges, schools, departments, and programs
Required Experience
This position is eligible for hiring at the ranks listed below. The minimum required experience at each rank is noted below.
- Librarian Instructor - no experience required
- Librarian Assistant Professor - A minimum 3 of years' experience
- Librarian Associate Professor - A minimum 7 of years' experience
Master's degree or higher in a relevant field
Preferred Qualifications/Experience
- Ability in IBM SPSS Statistics software (both syntax commands and point-and-click)
- Ability in SAS, or commitment and ability to learn SAS in the first year
- Familiarity with data methods commonly used in quantitative research across multiple disciplines and a commitment to developing additional methodological knowledge and skills
- Ability and enthusiasm for teaching data tools and methods to university researchers across multiple levels and disciplines via multiple modes (in-person, online, group settings, one-on-one)
- Experience providing both in-person and online instruction in group and one-on-one settings
- Experience or familiarity with social sciences and health research methods
- Interest and ability to grow skills in other data-related areas, tools, and methods
Knowledge, Skills, and Abilities
- Knowledge of trends and new developments in teaching, student learning, and student success in higher education
- Knowledge of trends and new developments in research and the use of technology in delivering data support services in higher education
- Ability to work independently as well as collegially in a professionally diverse environment
- Excellent communication, organizational, and interpersonal skills
Pre-Employment Requirements
A criminal background check is required.
Work Hours
Twelve-month assignment, faculty rank, non-tenure track
- Health and retirement benefits
- Support for research and professional development activities
- Occasional evening work may be required.
- Occasional work at other Georgia State University metro-area campuses may be required.
To see full benefits available, please visit
Salary
68,900 - 81,750
Search Chair Contact info
Mandy Swygart-Hobaugh
Departmental contact for assistance
Kamaria Church Irvin
Job Duties
Posting Detail Information
Number of Vacancies
1
Desired Start Date
11/03/2025
Position End Date (if temporary)
Open Date
07/01/2025
Review of Applications Begins
08/01/2025
Close Date
Open Until Filled
Yes
Special Instructions Summary
Apply at:
Opportunity Employment Statement
Georgia State University does not discriminate on the basis of race, color, religion, sex (including sexual orientation, gender identity or expression, or pregnancy), national origin, age, disability, genetic information, or protected veteran status in its programs, services, activities, employment, and/or admissions. Additionally, the University promotes equal employment opportunity for women, minorities, persons with disabilities and veterans through its affirmative action program.
USG Core Values Statement
The University System of Georgia is comprised of our 26 institutions of higher education and learning, as well the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at .
Data Services Associate
Posted 8 days ago
Job Viewed
Job Description
DUTIES
Receive, prepare and store all paper transactions and assist all branches with balancing and scanner issues. Key
entry of dollar amounts, reject repair, and balance items associated with the image files, including savings bond
processing. Detect and solve errors found in internal and external customer's transactions and prepare
correction advices where appropriate.
Operate and maintain related equipment such as the Image Sorter.
Receive and originate Automated Clearing House Files on the Dataserv and process all assigned files such as
ATE, FIS ATM, and Check 21 check exchange files.
Complete data entry including but not limited to utility payments, and transactions not passed through the
Image POD system using the ATE system and secured transactions.
Prepare utility customers related reports and processing.
Create and upload Image Files while maintaining production records including but not limited to Application
Totals, End of Night Totals, etc.
Process all Lock-Box transactions including preparation and reporting, punch and verify payments.
Assist bank in maintaining CIS Files including but not limited to CIP, Address Changes and Merges.
Import and Balance the Commercial Capture Exchange files twice a day. Prepare a weekly and monthly report
for management.
Distribute computer generated reports to various areas throughout the bank. Prepare and monitor paper checks
for mailing.
Prepare or order MICR documents as required.
Perform document imaging, scanning, indexing and verification of all assigned documents.
Pull and check assigned document reports to verify that they exist on the image system.
Perform the research necessary to satisfy Writs, Subpoena's, Summons, Court Orders, and all other requests for
information
Perform assigned procedures relating to Tax Records, TEFRA Forms, W8's and W9's and make needed 1099
tax corrections.
Perform assigned procedures relating to record retention and shipments to/from offsite storage.
Perform all other related duties as assigned.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Data Services Manager
Posted 8 days ago
Job Viewed
Job Description
Are you excited by the challenge of turning data requests into accurate, actionable outputs that drive fundraising success?
We are currently in search of a Data Services Manager for a healthcare nonprofit organization. This is a full-time, temporary-to-permanent position with a hybrid schedule based in New York, NY.
ORGANIZATION TYPE: Healthcare Nonprofit Organization
LOCATION: New York, NY (Upper East Side)
POSITION TITLE: Data Services Manager
DURATION: Temporary-to-Permanent
SALARY: $40-$2/hour, anticipated salary up to 90,000/year upon conversion
Is This Your Dream Job?
The Data Services Manager will oversee the fulfillment of ad hoc data requests and reporting needs across the Foundation. Reporting to the Director, Development Operations, this role is responsible for ensuring that staff across the organization have timely and accurate access to donor and prospect data. By blending project management, business analysis, and data management skills, the Manager will enhance the customer experience for staff. This role will also supervise the Senior Associate, Data Services, and contribute to developing processes that strengthen data quality, compliance, and efficiency.
Our Ideal Candidate:
• Minimum of five (5) years of experience working with fundraising applications and databases, preferably in a complex nonprofit or academic medical center environment
• Administrator-level experience with The Raiser's Edge 7/NXT, Luminate Online, and Omatic strongly preferred
• At least one (1) year of supervisory experience preferred
• Intermediate/ Advanced skills with Microsoft Excel required
• Experience with Alteryx and/or writing SQL queries a plus
• Administrator-level experience with Salesforce a plus
• Exceptional organizational and project management skills with the ability to manage multiple priorities effectively
How You Will Spend Your Day:
• Oversee the process of producing datasets and lists for direct marketing, event invitations, and donor prospecting requests
• Participate in data criteria meetings, translating business needs into technical requirements and offering guidance as needed
• Develop and implement processes to ensure timely fulfillment of data requests while maintaining data quality and HIPAA compliance
• Contribute to the creation of systems that enable self-service reporting for users
• Supervise and mentor the Senior Associate, Data Services, ensuring accuracy and excellent customer service in data outputs
• Utilize Raiser's Edge queries and Alteryx to generate donor and patient data exports for fundraising and prospecting purposes
• Maintain a library of past data requests to improve the speed and accuracy of future outputs
• Ensure that recipients of fundraising appeals and event invitations are accurately recorded in Raiser's Edge
We'd love to hear from you.
If this sounds like the job for you, we would love to help make that happen. Please apply using the link below.
For more information about Careers In Nonprofits and our other available opportunities and workshops, please visit our website at
Careers In Nonprofits is an equal opportunity employer. Empowered by the #ILoveMyJob mission, we celebrate diversity and are committed to creating an inclusive work environment within the nonprofit sector.
Due to the high volume of applications we receive, we regretfully can only respond to those candidates who best meet the requirements of a specific position or whose backgrounds are generally applicable to our client base. Please rest assured that we retain all candidate information for possible future matches, even if you do not hear from us in regard to your application in response to this ad.
Quality Specialist, AGI Data Services, AGI Data Services
Posted today
Job Viewed
Job Description
Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Their primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence.
Key job responsibilities
* Define and implement quality metrics for established workflows
* Create prescriptive actions for quality issues
* Partner with customers, operations and internal support teams to optimize workflow quality
* Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements
* Analyze data trends and develop solutions
* Monitor quality performance and coach operations teams
* Create and maintain quality metrics reports
* Handle customer escalations and recommendations
* Evaluate and suggest improvements for quality tools
* Support process documentation and implementation
Basic Qualifications
* Business English proficiency * Intermediate Excel skills (VLOOKUPS, PIVOTS, formulas) * Experience in Machine Learning/Data Labeling - Strong process expertise in data services * Experience in coaching and process improvement * Analytical and problem-solving capabilities
Preferred Qualifications
* Experience with speech or language data preferred * Ability to work in ambiguous environments * Project management experience
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Quality Specialist, AGI Data Services, AGI Data Services
Posted today
Job Viewed
Job Description
Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Their primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence.
Key job responsibilities
* Define and implement quality metrics for established workflows
* Create prescriptive actions for quality issues
* Partner with customers, operations and internal support teams to optimize workflow quality
* Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements
* Analyze data trends and develop solutions
* Monitor quality performance and coach operations teams
* Create and maintain quality metrics reports
* Handle customer escalations and recommendations
* Evaluate and suggest improvements for quality tools
* Support process documentation and implementation
Basic Qualifications
* Business English proficiency * Intermediate Excel skills (VLOOKUPS, PIVOTS, formulas) * Experience in Machine Learning/Data Labeling - Strong process expertise in data services * Experience in coaching and process improvement * Analytical and problem-solving capabilities
Preferred Qualifications
* Experience with speech or language data preferred * Ability to work in ambiguous environments * Project management experience
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Quality Specialist, AGI Data Services, AGI Data Services
Posted today
Job Viewed
Job Description
Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Their primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence.
Key job responsibilities
* Define and implement quality metrics for established workflows
* Create prescriptive actions for quality issues
* Partner with customers, operations and internal support teams to optimize workflow quality
* Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements
* Analyze data trends and develop solutions
* Monitor quality performance and coach operations teams
* Create and maintain quality metrics reports
* Handle customer escalations and recommendations
* Evaluate and suggest improvements for quality tools
* Support process documentation and implementation
Basic Qualifications
* Business English proficiency * Intermediate Excel skills (VLOOKUPS, PIVOTS, formulas) * Experience in Machine Learning/Data Labeling - Strong process expertise in data services * Experience in coaching and process improvement * Analytical and problem-solving capabilities
Preferred Qualifications
* Experience with speech or language data preferred * Ability to work in ambiguous environments * Project management experience
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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Quality Specialist, AGI Data Services, AGI Data Services
Posted today
Job Viewed
Job Description
Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Their primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence.
Key job responsibilities
* Define and implement quality metrics for established workflows
* Create prescriptive actions for quality issues
* Partner with customers, operations and internal support teams to optimize workflow quality
* Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements
* Analyze data trends and develop solutions
* Monitor quality performance and coach operations teams
* Create and maintain quality metrics reports
* Handle customer escalations and recommendations
* Evaluate and suggest improvements for quality tools
* Support process documentation and implementation
Basic Qualifications
* Business English proficiency * Intermediate Excel skills (VLOOKUPS, PIVOTS, formulas) * Experience in Machine Learning/Data Labeling - Strong process expertise in data services * Experience in coaching and process improvement * Analytical and problem-solving capabilities
Preferred Qualifications
* Experience with speech or language data preferred * Ability to work in ambiguous environments * Project management experience
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Network Services Data Management
Posted 8 days ago
Job Viewed
Job Description
Resume Due Date : May 2 nd 2024
Actual RFP Due Date : May 7 th 2024
Positions : Network Service Data Management Engineer
No of Resume : 1 Live Resume
Location : Onsite (Rancho Cordova, CA 95741)
Period of Performance : 2 years
Mandatory Skills/Qualifications : Attachment provided
References : 3
Quality Operations Manager, AGI Data Services, AGI Data Services
Posted today
Job Viewed
Job Description
The Quality Operations Manager orchestrates the site's entire quality audit organization, managing a team of ~100 Quality Auditors through 5 Quality Audit Managers and ~10 Quality Specialists. This strategic role bridges operational excellence with organizational leadership, requiring the ability to navigate complex organizational challenges while driving systematic improvements in audit quality and efficiency. The role demands expertise in translating high-level quality objectives into actionable strategies, managing through layers of leadership, and fostering cross-functional partnerships to drive site-wide quality improvements. While QAMs focus on direct team management and process execution, the Quality Operations Manager concentrates on broader organizational strategy, resource optimization, and creating frameworks that enable the entire quality organization to deliver consistent, high-quality results.
Key job responsibilities
- Develop and execute strategic quality initiatives across the site's operations
- Lead and manage the site's quality organization through direct reports (QAMs and Specialists)
- Drive operational excellence through data-driven decision making and strategic planning
- Establish and monitor site-specific quality standards, metrics, and KPIs
- Build and maintain strong partnerships with site leadership and cross-functional stakeholders
- Optimize resource allocation and organizational planning within the quality department
- Lead process improvement initiatives to enhance audit accuracy and operational efficiency
- Develop and implement quality training programs and career development paths
- Create and maintain site-specific quality governance frameworks
- Drive standardization of quality processes across all shifts and operations
- Provide senior leadership reporting on quality metrics and organizational performance
- Lead change management initiatives within the quality organization
Basic Qualifications
- Bachelor's degree in relevant field (Business, Engineering, Quality Management) - 7+ years of quality management experience, with 3+ years in leadership roles - Proven experience managing large teams (100+ employees) through direct reports - Strong track record of implementing successful quality programs - Advanced analytical and data interpretation skills - Exceptional planning and execution capabilities - Demonstrated experience in stakeholder management - Experience with quality management systems and tools
Preferred Qualifications
- Professional certifications: Six Sigma Black Belt, ASQ CQM/OE - Experience managing quality operations in high-volume environments - Track record of successful organizational improvement initiatives - Experience with quality automation tools and systems - Strong background in developing and implementing quality training programs - Experience in lean management principles and methodologies This role requires occasional travel (10-15%) for training, conferences, and leadership meetings.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.