business mgr

Palm Harbor Homes

<div><h3 class="jobSectionHeader">Key Responsibilities</h3>
<h4 class="jobSectionHeader">Deal Intake &amp; Coordination</h4>
<ul>
<li>Receive and manage original deal files from the General Manager after deal approval
</li>
<li>Coordinate with General Manager and Finance Manager to initiate deal processing
</li>
<li>Ensure all documentation is complete and accurate from the outset
</li>
</ul><h4 class="jobSectionHeader">Financial Oversight &amp; Closing Preparation</h4>
<ul>
<li>Partner with Finance Manager to prepare deals for closing
</li>
<li>Compile and submit all contractor bids (&ldquo;hard bids&rdquo;)
</li>
<li>Prepare Cost Worksheets and Commission Sheets prior to closing
</li>
<li>Verify all financials align with approved deal structure and profitability targets
</li>
</ul><h4 class="jobSectionHeader">Contractor &amp; Project Management</h4>
<ul>
<li>Serve as the primary point of contact for all contractors
</li>
<li>Obtain and evaluate bids; coordinate project scope and timelines
</li>
<li>Schedule all construction and manage timelines to meet closing deadlines
</li>
<li>Conduct regular (weekly or more frequent) check-ins with contractors
</li>
<li>Ensure all work is completed as agreed and on schedule
</li>
</ul><h4 class="jobSectionHeader">Customer &amp; Vendor Communication</h4>
<ul>
<li>Communicate directly with customers to provide updates and obtain approvals
</li>
<li>Facilitate Cost Worksheet approval via email or fax
</li>
<li>Coordinate with lenders and vendors to ensure timely completion of all requirements
</li>
</ul><h4 class="jobSectionHeader">Quality Control &amp; Compliance</h4>
<ul>
<li>Order and manage required site checks and inspections
</li>
<li>Verify completion of work through photos and required documentation
</li>
<li>Monitor vendor billing and report discrepancies immediately
</li>
<li>Review all customer information for accuracy prior to closing
</li>
<li>Process and scan original customer files to corporate in compliance with company standards
</li>
</ul><h4 class="jobSectionHeader">Closing Coordination</h4>
<ul>
<li>Prepare all closing documents
</li>
<li>Schedule closings with customers and title companies
</li>
<li>Ensure all conditions are met prior to closing
</li>
<li>Authorize or coordinate key release to customer upon completion
</li>
</ul><h4 class="jobSectionHeader">Systems &amp; Reporting</h4>
<ul>
<li>Maintain accurate inventory and records using internal systems (e.g., ProSys)
</li>
<li>Enter Purchase Orders and build homes/projects in system upon order confirmation
</li>
<li>Maintain daily deal tracking and update statuses consistently
</li>
<li>Use deal tracker in daily communication with General Managers
</li>
</ul><h4 class="jobSectionHeader">Administrative &amp; Operational Support</h4>
<ul>
<li>Submit finalized Cost Worksheets to General Manager (and Regional VP as required)
</li>
<li>Serve as backup for time management functions in UKG
</li>
<li>Assist with employee status change forms and administrative processes as needed
</li>
</ul><h3 class="jobSectionHeader">Key Skills &amp; Competencies</h3>
<ul>
<li>Strong organizational and project management skills
</li>
<li>Excellent communication and coordination abilities
</li>
<li>High attention to detail and accuracy
</li>
<li>Ability to manage multiple projects and deadlines simultaneously
</li>
<li>Problem-solving and decision-making skills
</li>
<li>Financial and operational acumen
</li>
</ul><h3 class="jobSectionHeader">Success Metrics</h3>
<ul>
<li>Deals closed on time and within budget
</li>
<li>Accuracy of cost and commission documentation
</li>
<li>Contractor performance and timeline adherence
</li>
<li>Customer satisfaction and communication effectiveness
</li>
<li>Compliance with internal processes and documentation standards</li></ul></div>

Business Mgr 3 Retail

Information Technology Senior Management Forum

<div><div>Posted Date
4/10/2026
</div><div>Description
<div>Manager, Data Science - AI for Data
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The AI for Data team works with the Enterprise Data Product, Tech and Design teams to develop AI-enabled features that are integrated across the data lifecycle. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI/ML technologies.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li><li>
Move fast in an environment with ambiguity at times, and with competing priorities and deadlines.</li><li>
Iterate rapidly with researchers and engineers to improve a product experience while building the foundation of the platform.</li></ul>
The Ideal Candidate is:<ul><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li><li>
A data guru. &ldquo;Big data&rdquo; doesn&rsquo;t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics</li></ul></li><li>
At least 1 year of experience leveraging open source programming languages for large scale data analysis</li><li>
At least 1 year of experience working with machine learning</li><li>
At least 1 year of experience utilizing relational databases</li></ul>
Preferred Qualifications:<ul><li>
PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics</li><li>
At least 1 year of experience working with AWS</li><li>
At least 4 years&rsquo; experience in Python, SQL</li><li>
At least 4 years&rsquo; experience with Deep Learning Frameworks such as TensorFlow, Pytorch, etc. in large scale training and deployment of deep neural nets and/or transformer architectures.</li><li>
At least 4 years&rsquo; experience with Natural Language Processing, Information Retrieval, Search, Recommendations, Fine-tuning on LLM on specific applications.</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $197,300 - $225,100 for Mgr, Data Science 

New York, NY: $215,200 - $245,600 for Mgr, Data Science 

San Jose, CA: $215,200 - $245,600 for Mgr, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Manager, Data Science - AI for Data
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The AI for Data team works with the Enterprise Data Product, Tech and Design teams to develop AI-enabled features that are integrated across the data lifecycle. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI/ML technologies.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li><li>
Move fast in an environment with ambiguity at times, and with competing priorities and deadlines.</li><li>
Iterate rapidly with researchers and engineers to improve a product experience while building the foundation of the platform.</li></ul>
The Ideal Candidate is:<ul><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li><li>
A data guru. &ldquo;Big data&rdquo; doesn&rsquo;t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics</li></ul></li><li>
At least 1 year of experience leveraging open source programming languages for large scale data analysis</li><li>
At least 1 year of experience working with machine learning</li><li>
At least 1 year of experience utilizing relational databases</li></ul>
Preferred Qualifications:<ul><li>
PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics</li><li>
At least 1 year of experience working with AWS</li><li>
At least 4 years&rsquo; experience in Python, SQL</li><li>
At least 4 years&rsquo; experience with Deep Learning Frameworks such as TensorFlow, Pytorch, etc. in large scale training and deployment of deep neural nets and/or transformer architectures.</li><li>
At least 4 years&rsquo; experience with Natural Language Processing, Information Retrieval, Search, Recommendations, Fine-tuning on LLM on specific applications.</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $197,300 - $225,100 for Mgr, Data Science 

New York, NY: $215,200 - $245,600 for Mgr, Data Science 

San Jose, CA: $215,200 - $245,600 for Mgr, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
197,300.00 - 225,100.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Manager, Data Science - AI for Data

<div><div>Posted Date
4/12/2026
</div><div>Description
<div>Senior Manager, Software Engineer (Full Stack) - Intelligent Foundations and Experiences (IFX)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Sr. Manager Software Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:<ul><li>
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of experience in software engineering (Internship experience does not apply)</li><li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li><li>
At least 4 years of people management experience</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree</li><li>
9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go</li><li>
3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service</li><li>
4+ years of experience in open source frameworks</li><li>
7+ years of people management experience</li><li>
2+ years of experience in Agile practices</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Plano, TX: $209,000 - $238,500 for Sr. Mgr, Software Engineering 

Richmond, VA: $209,000 - $238,500 for Sr. Mgr, Software Engineering 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Manager, Software Engineer (Full Stack) - Intelligent Foundations and Experiences (IFX)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Sr. Manager Software Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You&rsquo;ll Do:<ul><li>
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of experience in software engineering (Internship experience does not apply)</li><li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li><li>
At least 4 years of people management experience</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree</li><li>
9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go</li><li>
3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service</li><li>
4+ years of experience in open source frameworks</li><li>
7+ years of people management experience</li><li>
2+ years of experience in Agile practices</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Plano, TX: $209,000 - $238,500 for Sr. Mgr, Software Engineering 

Richmond, VA: $209,000 - $238,500 for Sr. Mgr, Software Engineering 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
209,000.00 - 238,500.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Manager, Software Engineer (Full Stack) - Intelligent Foundations and Experiences (IFX)

Capital One

<div>Manager, Data Science - AI for Data
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The AI for Data team works with the Enterprise Data Product, Tech and Design teams to develop AI-enabled features that are integrated across the data lifecycle. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI/ML technologies.
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li><li>
Move fast in an environment with ambiguity at times, and with competing priorities and deadlines.</li><li>
Iterate rapidly with researchers and engineers to improve a product experience while building the foundation of the platform.</li></ul>
The Ideal Candidate is:<ul><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li><li>
A data guru. &ldquo;Big data&rdquo; doesn&rsquo;t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics</li></ul></li><li>
At least 1 year of experience leveraging open source programming languages for large scale data analysis</li><li>
At least 1 year of experience working with machine learning</li><li>
At least 1 year of experience utilizing relational databases</li></ul>
Preferred Qualifications:<ul><li>
PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics</li><li>
At least 1 year of experience working with AWS</li><li>
At least 4 years&rsquo; experience in Python, SQL</li><li>
At least 4 years&rsquo; experience with Deep Learning Frameworks such as TensorFlow, Pytorch, etc. in large scale training and deployment of deep neural nets and/or transformer architectures.</li><li>
At least 4 years&rsquo; experience with Natural Language Processing, Information Retrieval, Search, Recommendations, Fine-tuning on LLM on specific applications.</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $197,300 - $225,100 for Mgr, Data Science 

New York, NY: $215,200 - $245,600 for Mgr, Data Science 

San Jose, CA: $215,200 - $245,600 for Mgr, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Gategroup

<div>We&rsquo;re looking for motivated, engaged people to help make everyone&rsquo;s journeys better.
The Administrative Specialist is responsible to assist the office and operations staff with correspondence (Internal and External), billing issues, accounts payable documents, customer requests, supply and ordering items, and general office responsibilities.
Hourly Rate: Up to $28/hr
Benefits<ul><li>
Paid time off</li><li>
401k, with company match</li><li>
Company sponsored life insurance</li><li>
Medical, dental, vision plans</li><li>
Voluntary short-term/long-term disability insurance</li><li>
Voluntary life, accident, and hospital plans</li><li>
Employee Assistance Program</li><li>
Commuter benefits</li><li>
Employee Discounts</li><li>
Weekly pay for union employees</li></ul>
Main Duties and Responsibilities:<ul><li>
Initiates written and oral communication to unit management, and customers as directed</li><li>
Organizes and distributes charter information to production departments and management staff</li><li>
Orders operating supplies and required computer requirements as needed</li><li>
Assists in billing issues, accounts payable when applicable</li><li>
Distribution of inbound mail and documents received on a daily basis from fax machine and routes to appropriate department or manager</li><li>
General office duties to include but not limited to filing, telephone routing and messages, etc.</li></ul>
Qualifications
Education:
<ul><li>High School Diploma or GED is required</li></ul>
Work Experience:<ul><li>
Minimum of 1-2 years of experience with clerical duties and responsibilities</li></ul>
Technical Skills: (Certification, Licenses and Registration)<ul><li>
Must have strong computer skills using Microsoft Office Products including Excel and PowerPoint</li><li>
Ability to work in a fast paced, deadline driven environment</li><li>
Excellent time management skills required</li><li>
Strong organizational, analytical and leadership skills required</li></ul>
Language / Communication Skills:<ul><li>
Must have excellent written and oral communication skills</li></ul>
Job Dimensions
Geographic Responsibility: TBA
Type of Employment: Full-time / Part-time
Travel %: None
Exemption Classification: Non-Exempt
Internal Relationships:
External Relationships:
Work Environment / Requirements of the Job:
Budget / Revenue Responsibility: (Local Currency)
Organization Structure
Direct Line Manager (Title): Varies by unit: &ldquo;GM&rdquo;, &ldquo;Mgr, Ops&rdquo;, &ldquo;Senior Mgr, Ops&rdquo;, or &ldquo;Dir, Assembly&rdquo;
Dotted Line Manager (Title, if applicable): N/A
Number of Direct Reports: NA
Number of Dotted Line Reports: NA
Estimated Total Size of Team: 2
gategroup Competencies Required to be Successful in the Job:<ul><li>
Thinking &ndash; Information Search and analysis &amp; problem resolution skills</li><li>
Engaging &ndash; Understanding others, Team Leadership and Developing People</li><li>
Inspiring &ndash; Influencing and building relationships, Motivating and Inspiring, Communicating effectively</li><li>
Achieving &ndash; Delivering business results under pressure, Championing Performance Improvement and Customer Focus</li></ul>
Demonstrated Values to be Successful in the Position
Employees at gategroup are expected to live our Values of Excellence, Integrity, Passion and Accountability. To demonstrate these Values, we expect to observe the following from everyone:<ul><li>
We treat each other with respect and we act with integrity</li><li>
We communicate and keep each other informed</li><li>
We put our heads together to problem solve and deliver excellence as a team</li><li>
We have passion for our work and we pay attention to the little details</li><li>
We foster an environment of accountability, take responsibility for our actions and learn from our mistakes</li><li>
We do what we say we will do, when we say we are going to do it</li><li>
We care about our coworkers, always taking an opportunity to make someone&rsquo;s day better</li></ul>
The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.
gategroup is an equal opportunity employer committed to workforce diversity. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status or other category under applicable law.
For further information regarding Equal Employment Opportunity, copy and paste the following URL into your web browser: http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf
We anticipate that this job will close on:
05/01/2026 
If you want to be part of a team that helps make travel and culinary memories, join us!</div>

Administrative Specialist - Fleet Maintenance

The Rust Doctor

Job Overview We are seeking a Business Manager to oversee a multi business organization's daily operations, ensuring efficiency by managing staff, budgets, and administrative policies. They act as a crucial link between executive leadership and staff, handling facility management, human resources, and vendor contracts to support strategic goals.Duties<ul><li>Lead and supervise administrative teams across multiple buisness settings, ensuring smooth daily operations.</li><li>Oversee fiscal management activities such as budgeting, financial planning, and resource allocation to maintain financial health and operational efficiency.</li><li>Ensure compliance regulations and other privacy standards while maintaining accurate documentation and tracking.</li><li>Coordinate with staff and management team to streamline workflows and improve customer relations and compliance</li><li>Oversee human resources functions such as hiring, training, performance evaluations, and staff development within the administrative department.</li><li>Implement policies related to daily functions, utilization management.</li><li>Facilitate communication between departments to optimize experience and ensure staff and management best practices.</li><li>Monitor billing processes, and financial management time sheets and payroll.</li></ul>Required: Education<ul><li>Bachelors degree (4-year degree) in Finance, Accounting, Business Administration, or Human Resources; or</li><li>Associates Degree (2-year degree) + 2 years of experience in Finance, Accounting, Business Administration, or Human Resources.</li></ul>Experience<ul><li>At least 2 years of experience in working within or for an automotive company or automotive repair industry. - Required</li><li>At least 2 years of HR experience</li><li>Cash handling experience - Required</li><li>Customer service experience - Required</li><li>Ability to use Apple computers and Apple software systems proficiently, i.e. Numbers. - Required</li><li>Ability to use Google Sheets, Docs, and Slides proficiently. - Required</li></ul>Benefits: <ul><li>Discounted services through The Rust Doctor, TRD Window Tint &amp; Films, and TRD Wrench Worx.</li><li>Paid sick leave</li><li>FAMLI Leave</li><li>Minor medical benefits</li><li>Potential raises and bonuses.</li></ul>Pay &amp; Compensation: <ul><li>Starting pay between $30.00 to $38.00 per hour</li><li>40 hours a week</li><li>Monday - Friday from 8:00 am to 4:00 pm</li><li>Flexible scheduling available</li></ul>Language:<ul><li>Bilingual (Preferred)</li></ul>Work Location: Hybrid (mostly in-person)Pay: $57,889.03 - $69,715.82 per yearBenefits:<ul><li>Employee discount</li></ul>Application Question(s):<ul><li>Do you have a Bachelor's degree in Finance, Accounting, Business Administration, or Human Resources?</li><li>Do you have an Associates degree + 2 years of related experience in Finance, Accounting, Business Administration, or Human Resources?</li><li>Do you have at least 2 years of experience within the automotive industry in any position?</li><li>Do you understand that this position requires a background check, and if you have been convicted of any misdemeanor relating to finances, theft, fraud, or sex crimes, you will be disqualified?</li><li>Do you understand that this position requires a background check, and if you have been convicted of ANY felony level charge, you will be disqualified?</li></ul>Education:<ul><li>High school or equivalent (Required)</li></ul>Language:<ul><li>Bilingual (Preferred)</li></ul>Work Location: In person

Business Manager

Akima

<div>Company Overview: 
Work Where it Matters
AGS, an Akima company, is not just another federal security solutions contractor. As an Alaska Native Corporation (ANC), our mission and purpose extend beyond our exciting federal projects as we support our shareholder communities in Alaska.
At AGS, the work you do every day makes a difference in the lives of our 15,000 I&ntilde;upiat shareholders, a group of Alaska natives from one of the most remote and harshest environments in the United States.
For our shareholders, AGS provides support and employment opportunities and contributes to the survival of a culture that has thrived above the Arctic Circle for more than 10,000 years.
For our government customers, AGS delivers the people, equipment, and processes that safeguard federal buildings, military bases, and detention centers while supporting customers&rsquo; complex missions.
As an AGS employee, you will be surrounded by a challenging, yet supportive work environment that is committed to innovation and diversity, two of our most important values. You will also have access to our comprehensive benefits and competitive pay in addition to growth opportunities and excellent retirement options.
Description:
<div>
The Business Manager is responsible for leading and coordinating all financial, administrative, and business operations in support of the Strategic Petroleum Reserve (SPR) contract. This role ensures full compliance with contractual, regulatory, and operational requirements while providing strategic financial guidance to support mission readiness and organizational effectiveness. The Business Manager oversees budgeting, forecasting, accounting, payroll, billing, accounts payable, logistics support, and reporting for all SPR protective force activities. The ideal candidate brings strong financial acumen, proven leadership, and a deep understanding of business operations within a federal contracting environment.</div><div></div><div> 
Position is contingent upon contract award.
</div>Responsibilities:
<ul><li>Lead and manage business operations in alignment with the SPR Statement of Work, subcontract requirements, and applicable laws and regulations.</li><li>
Oversee finance, accounting, payroll, accounts payable, billing, and logistics support for protective force operations across multiple SPR sites.</li><li>
Develop, manage, and analyze budgets, forecasts, cost models, and financial performance metrics to ensure contract compliance and operational efficiency.</li><li>
Provide timely and accurate financial statements, audits, reports, and analysis to internal leadership and government stakeholders.</li><li>
Manage automated accounting systems, databases, spreadsheets, and reporting tools to ensure data integrity and accurate financial outputs.</li><li>
Serve as the primary business interface with the Subcontract Manager, SMTR, M&amp;O Security Directorate, and other partners regarding financial compliance and reporting.</li><li>
Support procurement, inventory tracking, labor cost management, and logistical planning for protective force operations.</li><li>
Ensure accurate labor charging, cost allocation, and compliance with contract terms, federal requirements, and company procedures.</li><li>
Supervise and develop business office personnel; promote collaboration and continuous improvement in a multi site operational environment.</li><li>
Oversee the preparation and review of invoices, expense reports, and financial documentation to ensure audit readiness.</li><li>
Prioritize and manage multiple deadlines, tasks, and reporting requirements in a fast-paced, mission-critical environment.</li><li>
Support business continuity, risk mitigation, and resource planning for fragmented or geographically dispersed operations.</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s degree in Accounting, Finance, or a related field from an accredited college; MBA preferred.</li><li>
Minimum of 10 years of financial and/or business-related experience, including 5+ years in a managerial capacity.</li><li>
Strong knowledge of financial disciplines, automated accounting systems, and business procedures.</li><li>
Experience in finance, general accounting, payroll, accounts payable, billing, and logistics, with a heavy emphasis on forecasting and financial analysis.</li><li>
Professional written and verbal communication skills with strong interpersonal abilities.</li><li>
Ability to multi-task, prioritize conflicting demands, and meet strict deadlines.</li><li>
Extensive experience working with automated financial systems, spreadsheets, databases, PowerPoint, web-based systems, and report-writing tools.</li></ul>
Preferred Qualification:<ul><li>
Experience working within a government contracting environment, including cost accounting standards, reporting, and audit support.</li><li>
Strong analytical skills and professional judgment.</li><li>
Ability to lead business operations across geographically dispersed or fragmented organizational structures.</li><li>
Detail oriented, highly organized, and able to operate effectively under pressure.</li><li>
High integrity, accountability, and confidentiality.</li></ul>
Job ID: 2026-22536 Work Type: On-Site</div>

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