Data Manager Jobs at NTT DATA with Visa Sponsorship
Data Manager jobs at NTT DATA support clients in data governance, pipeline management, and analytics infrastructure across the company's technology and software delivery teams. The company has a consistent track record of sponsoring work visas for this function, covering multiple visa categories for both new hires and long-term employees.
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Get Access To All JobsCompany Overview:
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Sr. Data and AI Architect to join our team in Auburn Hills, MI.
Job Duties
Senior Data & AI Solutions Architect
- Define end-to-end architecture for AI-powered data solutions, including intelligent agents, automation workflows, and multi-agent ecosystems across enterprise platforms.
- Define collaboration frameworks supporting sequential, parallel, event-driven, conditional, and human-in-the-loop interactions.
- Translate business requirements and operational workflows into scalable data and AI solutions, integration, security, deployment, and operational architectures.
- Provide technical leadership across Architecture, Engineering, Security, Data, and Operations teams, establishing standards, governance frameworks, and reusable patterns.
- Define security architecture — authentication, authorization, identity propagation, and governance controls across all interaction layers.
- Establish responsible AI guardrails covering data privacy, prompt security, model safety, compliance, and human approval workflows.
- Define enterprise data architecture, integration strategies, canonical data models, API standards, and knowledge management frameworks.
- Define RAG or comparable approaches enabling secure access to structured and unstructured enterprise data.
- Drive data privacy, integration, and management practices for seamless, governed accessibility across platforms.
Required Skills
- 10+ years in Solution, Enterprise, Cloud, or Data Integration Architecture.
- Strong cloud architecture experience (AWS/Azure/GCP) and experience integrating enterprise platforms (CRM, ERP, ITSM, or similar).
- Experience with data structures, enterprise tools, cloud hyper scalers and platforms leveraging AI for data management and governance.
- Strong understanding of Agentic AI, Conversational AI, Generative AI, and multi-agent architectures.
- Deep knowledge of APIs, event-driven architecture, identity protocols, canonical data models, security, and observability.
- Ability to translate business objectives into scalable technical architecture and implementation roadmaps.
- Strong stakeholder management, documentation, and executive communication skills.
- Experience in Effective Application Development Project Implementation / Deployment strategies with a customer base distributed throughout the world.
- Experience in highly parallel work environments with projects utilizing iterative, agile, and waterfall approaches to achieve their objectives.
- Experience in both business transformation and information technology projects is required.
Unique Skills
- Technical knowledge with hands-on experience, managing application development.
- Strong verbal and written communications skills, with an ability to express complex technical concepts in business terms.
- Strong analytical, problem-solving, and conceptual skills.
- Strong interpersonal skills; ability to communicate and persuade at all management levels and thrive in a cross-functional environment.
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Company Overview:
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Sr. Data and AI Architect to join our team in Auburn Hills, MI.
Job Duties
Senior Data & AI Solutions Architect
- Define end-to-end architecture for AI-powered data solutions, including intelligent agents, automation workflows, and multi-agent ecosystems across enterprise platforms.
- Define collaboration frameworks supporting sequential, parallel, event-driven, conditional, and human-in-the-loop interactions.
- Translate business requirements and operational workflows into scalable data and AI solutions, integration, security, deployment, and operational architectures.
- Provide technical leadership across Architecture, Engineering, Security, Data, and Operations teams, establishing standards, governance frameworks, and reusable patterns.
- Define security architecture — authentication, authorization, identity propagation, and governance controls across all interaction layers.
- Establish responsible AI guardrails covering data privacy, prompt security, model safety, compliance, and human approval workflows.
- Define enterprise data architecture, integration strategies, canonical data models, API standards, and knowledge management frameworks.
- Define RAG or comparable approaches enabling secure access to structured and unstructured enterprise data.
- Drive data privacy, integration, and management practices for seamless, governed accessibility across platforms.
Required Skills
- 10+ years in Solution, Enterprise, Cloud, or Data Integration Architecture.
- Strong cloud architecture experience (AWS/Azure/GCP) and experience integrating enterprise platforms (CRM, ERP, ITSM, or similar).
- Experience with data structures, enterprise tools, cloud hyper scalers and platforms leveraging AI for data management and governance.
- Strong understanding of Agentic AI, Conversational AI, Generative AI, and multi-agent architectures.
- Deep knowledge of APIs, event-driven architecture, identity protocols, canonical data models, security, and observability.
- Ability to translate business objectives into scalable technical architecture and implementation roadmaps.
- Strong stakeholder management, documentation, and executive communication skills.
- Experience in Effective Application Development Project Implementation / Deployment strategies with a customer base distributed throughout the world.
- Experience in highly parallel work environments with projects utilizing iterative, agile, and waterfall approaches to achieve their objectives.
- Experience in both business transformation and information technology projects is required.
Unique Skills
- Technical knowledge with hands-on experience, managing application development.
- Strong verbal and written communications skills, with an ability to express complex technical concepts in business terms.
- Strong analytical, problem-solving, and conceptual skills.
- Strong interpersonal skills; ability to communicate and persuade at all management levels and thrive in a cross-functional environment.
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
See all Data Manager Jobs at NTT DATA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Manager Jobs at NTT DATA.
Get Access To All JobsTips for Finding Data Manager Jobs at NTT DATA
Align Your Credentials to NTT DATA's Delivery Model
NTT DATA structures Data Manager roles around client-facing delivery and managed services. Certifications in data governance frameworks like DAMA-DMBOK or cloud platforms like AWS and Azure directly signal readiness for how they staff these positions.
Target Roles Tied to Federal or Enterprise Contracts
NTT DATA frequently staffs Data Managers on long-term government and enterprise IT contracts. These engagements tend to have longer visa sponsorship horizons, making them more stable for H-1B or Green Card pathways than project-based placements.
Find Open Roles Through Migrate Mate
Search Migrate Mate to filter Data Manager openings at NTT DATA by visa type. This lets you target postings where sponsorship is already confirmed rather than guessing which listings will support your visa category.
Clarify Sponsorship Type Before Accepting an Offer
NTT DATA sponsors multiple visa categories, so confirm which pathway applies to your offer. E-3 and TN are employer-filed but have different renewal timelines than H-1B, and each affects how quickly you can pursue PERM-based Green Card sponsorship.
Time Your Application Around H-1B Cap Deadlines
If you need H-1B sponsorship, USCIS registration opens each March for an October 1 start date. Engaging NTT DATA's recruitment team in January or February gives their HR and legal teams enough lead time to register you before the window closes.
Document Your Data Governance Experience in Concrete Terms
USCIS specialty occupation reviews for Data Manager petitions increasingly scrutinize whether the role requires a specific degree field. Frame your resume around data architecture, lifecycle management, or compliance, not general project coordination, to strengthen the petition.
Frequently Asked Questions
Does NTT DATA sponsor H-1B visas for Data Managers?
Yes, NTT DATA sponsors H-1B visas for Data Manager roles. The company has a well-established immigration program that handles petitions through the annual USCIS cap process. If you're already in H-1B status with another employer, NTT DATA can also file an H-1B transfer, which lets you start work as soon as USCIS receives the petition.
Which visa types does NTT DATA commonly sponsor for Data Manager roles?
NTT DATA sponsors H-1B, E-3 visa, TN visa, and F-1 OPT and CPT for Data Manager positions, and supports EB-2 and EB-3 Green Card pathways for longer-term employees. Australian citizens can use the E-3 visa route, while Canadian and Mexican nationals may qualify for TN visa status under the USMCA professional worker category.
How do I apply for Data Manager jobs at NTT DATA?
Browse open Data Manager postings on Migrate Mate to find NTT DATA listings filtered by visa sponsorship type. Apply directly through NTT DATA's careers portal with a resume that highlights data governance, pipeline ownership, and platform experience. Their recruiting process typically includes a screening call, technical interview, and stakeholder review before an offer is extended.
What qualifications does NTT DATA expect for Data Manager roles?
NTT DATA generally looks for a bachelor's degree in computer science, information systems, or a related field, along with hands-on experience managing data pipelines, governance frameworks, or enterprise data platforms. Familiarity with cloud environments such as AWS, Azure, or GCP and experience in client-facing or managed services contexts strengthens your profile significantly.
How do I understand the timeline for visa sponsorship after receiving an offer from NTT DATA?
Timeline depends on your visa category. TN and E-3 can be processed within a few weeks of an offer. H-1B transfers are typically effective within days of USCIS receiving the petition. New H-1B cap filings require waiting for the October 1 start date. PERM-based Green Card sponsorship, if offered, runs on a separate multi-year track coordinated through the DOL process.