TN Visa Technical Director Jobs
Technical Director roles qualify for TN visa sponsorship under the USMCA's engineer and scientist categories when the position requires a relevant bachelor's degree or higher. Canadian citizens can apply at the border or a pre-clearance site without a cap. Mexican citizens require a U.S. consular appointment under the TN annual allocation.
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Get Access To All JobsINTRODUCTION
The Technical Director of AI & Automation is responsible for translating enterprise AI and automation strategy into technical architecture and delivery, leading the design and implementation of scalable solutions across the organization. This role demands deep technical expertise in artificial intelligence, machine learning, and intelligent automation platforms, with a strong emphasis on cloud-native (including Microsoft Azure and Amazon Web Services (AWS) solutions). The ideal candidate will have hands-on experience with AI/ML model development, deployment pipelines, and MLOps practices, as well as advanced proficiency in automation platforms such as Microsoft Power Automate and Automation Anywhere. This leader will be responsible for driving innovation through scalable and modular AI architectures, ensuring robust integration and practices with enterprise systems and standards, and fostering a culture of technical excellence in automation, data, and AI/ML engineering. The Technical Director will work in close partnership with internal IT stakeholders (architecture, applications, infrastructure analytics, IT operations, informatics), business partners (operations, clinical or shared business services), and external partners (vendors, academic or others) to accomplish program goals for AI, Automation, and AI governance. The ideal candidate will possess excellent communication and technical skills, enabling them to effectively engage with stakeholders at all levels and across the enterprise. A deep understanding of healthcare data and regulatory requirements is essential, as this leader is responsible for ensuring compliance and maintaining the highest standards of data security and privacy. The candidate should have hands-on experience working with classic statistics, classic AI/ML approaches, and generative AI frameworks including their optimization; deploying AI models in production environments; leading development with teams leveraging a range of programming languages (e.g., Python, R, Java), AI tools (e.g., TensorFlow, PyTorch, scikit-learn) and associated enabling technologies including familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
Responsibilities
- AI and Automation Strategy Execution: Deliver technical execution of the organization's AI and automation strategy, ensuring alignment with overall business goals and objectives as well as judicious capability development.
- AI and Automation Solution Implementation: Oversee the deployment of AI solutions often working with solution owner(s), including machine learning models, natural language processing including generative AI, and computer vision applications.
- AI Performance Monitoring: Establish and utilize metrics and processes to monitor the performance and impact of AI solutions, directing adjustments as needed to optimize outcomes and minimize organizational risk. Work with operational owners on business case development.
- Innovation: Stay current with AI, automation, analytics, and data and AI governance advancements and trends, driving continuous improvement and innovation within the organization.
- Collaboration and AI/Automation Value: Work closely with IT, data science, and business teams to identify promising AI and automation opportunities, integrate AI and automation solutions into existing and redesigned workflows. Monitor solution outcomes to demonstrate solution value.
- Global High Performing Team: Create a team culture focused on high performance through effective recruitment, coaching and development, team modeling and design, work assignments focused on improving and growing our key talent, and enabling the success and empowerment of the team. Foster a culture in which creativity and innovation thrive; identify changes in the technology stack or processes that will motivate innovative problem-solvers. Ability to lead a global, technical staff of internal resources and strategic partners. Previous experience working closely with external vendors to internalize capabilities and build competency of internal staff in data technologies.
BASIC QUALIFICATIONS
- Bachelor of Science IT, Computer Science, Data Science, Biostatistics Healthcare, Business or related field OR an equivalent combination of experience, education and/or training.
- 8 years related IT experience and a strong understanding of data science, data integration technologies and their applications.
- 5 years experience managing enterprise software development teams.
- 5 years leadership including direct mentoring and managing of others, including managing leaders of others.
- Knowledge of clinical data integration including RESTful and SOAP oriented web service development, ETL technology (SSIS, Data Stage, Informatica, etc.), interface protocol models (HL7, X12), EDI standards, ESB (MuleSoft) knowledge.
- Experience with database management, data warehousing, SQL, master data management, and data modeling including healthcare common data models.
- Strong leadership and project management skills, with the ability to inspire and guide cross-functional teams.
- Expertise in AI technologies, including machine learning, deep learning, and data analytics and the maintenance of these solutions.
- Excellent communication and presentation skills, with the ability to convey complex AI, automation, data and other technology concepts to non-technical stakeholders.
- Proven experience in leading AI and automation projects and teams, with a strong track record of successful AI and automation solution implementations.
- Experience with business intelligence, analytics, and data visualization platforms.
- Results-oriented with strong coaching, decision making, influencing, mentoring, negotiation, problem-solving and situational analysis skills.
- Think innovatively and strategically, keeping in mind organizational goals and objectives.
- Possess strong analytical thinking skills, ability to deconstruct complex problems and define and implement solutions.
PREFERRED QUALIFICATIONS
- Master of Science Computer Science, Biostatistics, Data Science, AI, Information Technology, or a related field.
- 10 years industry experience, some in health care preferred.
- 5 years experience designing and building analytics solutions across multiple cloud vendors including leveraging open-source ecosystem.
- 5 years experience working with clinical data, preferably with the integration of EHR data, data governance and with analytics supporting a range of solutions.
- Large language modeling (LLM) prompt engineering and other LLM optimization techniques (e.g., RAG – retrieval augmented generation, fine-tuning) experience.
- Experience working with global strategic partners.
- Experience with web services integration and development.
- Thrives in a fast-paced, collaborative environment, efficiently works under pressures, within deadlines or other time essential constraints.
- Experience with JIRA and Confluence and other productivity tools.
- PMP Certification.
- TOGAF or other architectural certification.
- ITIL Foundation Certification.
- Lean IT Management Certification.
- Agile & Scrum Certification.
- Relevant certifications in AI or data science.
COMPENSATION
- $174,657.60 - $246,584.00 Annual
INTRODUCTION
The Technical Director of AI & Automation is responsible for translating enterprise AI and automation strategy into technical architecture and delivery, leading the design and implementation of scalable solutions across the organization. This role demands deep technical expertise in artificial intelligence, machine learning, and intelligent automation platforms, with a strong emphasis on cloud-native (including Microsoft Azure and Amazon Web Services (AWS) solutions). The ideal candidate will have hands-on experience with AI/ML model development, deployment pipelines, and MLOps practices, as well as advanced proficiency in automation platforms such as Microsoft Power Automate and Automation Anywhere. This leader will be responsible for driving innovation through scalable and modular AI architectures, ensuring robust integration and practices with enterprise systems and standards, and fostering a culture of technical excellence in automation, data, and AI/ML engineering. The Technical Director will work in close partnership with internal IT stakeholders (architecture, applications, infrastructure analytics, IT operations, informatics), business partners (operations, clinical or shared business services), and external partners (vendors, academic or others) to accomplish program goals for AI, Automation, and AI governance. The ideal candidate will possess excellent communication and technical skills, enabling them to effectively engage with stakeholders at all levels and across the enterprise. A deep understanding of healthcare data and regulatory requirements is essential, as this leader is responsible for ensuring compliance and maintaining the highest standards of data security and privacy. The candidate should have hands-on experience working with classic statistics, classic AI/ML approaches, and generative AI frameworks including their optimization; deploying AI models in production environments; leading development with teams leveraging a range of programming languages (e.g., Python, R, Java), AI tools (e.g., TensorFlow, PyTorch, scikit-learn) and associated enabling technologies including familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
Responsibilities
- AI and Automation Strategy Execution: Deliver technical execution of the organization's AI and automation strategy, ensuring alignment with overall business goals and objectives as well as judicious capability development.
- AI and Automation Solution Implementation: Oversee the deployment of AI solutions often working with solution owner(s), including machine learning models, natural language processing including generative AI, and computer vision applications.
- AI Performance Monitoring: Establish and utilize metrics and processes to monitor the performance and impact of AI solutions, directing adjustments as needed to optimize outcomes and minimize organizational risk. Work with operational owners on business case development.
- Innovation: Stay current with AI, automation, analytics, and data and AI governance advancements and trends, driving continuous improvement and innovation within the organization.
- Collaboration and AI/Automation Value: Work closely with IT, data science, and business teams to identify promising AI and automation opportunities, integrate AI and automation solutions into existing and redesigned workflows. Monitor solution outcomes to demonstrate solution value.
- Global High Performing Team: Create a team culture focused on high performance through effective recruitment, coaching and development, team modeling and design, work assignments focused on improving and growing our key talent, and enabling the success and empowerment of the team. Foster a culture in which creativity and innovation thrive; identify changes in the technology stack or processes that will motivate innovative problem-solvers. Ability to lead a global, technical staff of internal resources and strategic partners. Previous experience working closely with external vendors to internalize capabilities and build competency of internal staff in data technologies.
BASIC QUALIFICATIONS
- Bachelor of Science IT, Computer Science, Data Science, Biostatistics Healthcare, Business or related field OR an equivalent combination of experience, education and/or training.
- 8 years related IT experience and a strong understanding of data science, data integration technologies and their applications.
- 5 years experience managing enterprise software development teams.
- 5 years leadership including direct mentoring and managing of others, including managing leaders of others.
- Knowledge of clinical data integration including RESTful and SOAP oriented web service development, ETL technology (SSIS, Data Stage, Informatica, etc.), interface protocol models (HL7, X12), EDI standards, ESB (MuleSoft) knowledge.
- Experience with database management, data warehousing, SQL, master data management, and data modeling including healthcare common data models.
- Strong leadership and project management skills, with the ability to inspire and guide cross-functional teams.
- Expertise in AI technologies, including machine learning, deep learning, and data analytics and the maintenance of these solutions.
- Excellent communication and presentation skills, with the ability to convey complex AI, automation, data and other technology concepts to non-technical stakeholders.
- Proven experience in leading AI and automation projects and teams, with a strong track record of successful AI and automation solution implementations.
- Experience with business intelligence, analytics, and data visualization platforms.
- Results-oriented with strong coaching, decision making, influencing, mentoring, negotiation, problem-solving and situational analysis skills.
- Think innovatively and strategically, keeping in mind organizational goals and objectives.
- Possess strong analytical thinking skills, ability to deconstruct complex problems and define and implement solutions.
PREFERRED QUALIFICATIONS
- Master of Science Computer Science, Biostatistics, Data Science, AI, Information Technology, or a related field.
- 10 years industry experience, some in health care preferred.
- 5 years experience designing and building analytics solutions across multiple cloud vendors including leveraging open-source ecosystem.
- 5 years experience working with clinical data, preferably with the integration of EHR data, data governance and with analytics supporting a range of solutions.
- Large language modeling (LLM) prompt engineering and other LLM optimization techniques (e.g., RAG – retrieval augmented generation, fine-tuning) experience.
- Experience working with global strategic partners.
- Experience with web services integration and development.
- Thrives in a fast-paced, collaborative environment, efficiently works under pressures, within deadlines or other time essential constraints.
- Experience with JIRA and Confluence and other productivity tools.
- PMP Certification.
- TOGAF or other architectural certification.
- ITIL Foundation Certification.
- Lean IT Management Certification.
- Agile & Scrum Certification.
- Relevant certifications in AI or data science.
COMPENSATION
- $174,657.60 - $246,584.00 Annual
See all 896+ Technical Director jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Technical Director roles.
Get Access To All JobsTips for Finding TN Visa Sponsorship as a Technical Director
Align your credentials to specialty occupation requirements
TN status for Technical Director roles hinges on a direct match between your degree field and the job's core technical responsibilities. A computer science or engineering degree paired with a director-level role in that discipline clears this bar cleanly.
Target employers experienced with visa sponsorship
Not every company knows how to structure a TN support letter. Prioritize mid-to-large technology, media, or engineering firms with recent visa filings, since their HR and legal teams already understand the visa sponsorship process and the documentation requirements for international hiring.
Request a detailed support letter before your appointment
CBP officers assess TN eligibility at the port of entry based almost entirely on your employer's support letter. Get a draft before your travel date and verify it specifies your degree requirement, proffered title, and the technical nature of the director duties.
Clarify whether your role files as engineer or scientist
Technical Director positions are not a named USMCA category. Your employer must map the role to a qualifying occupation like engineer or computer systems analyst. Misclassification is a common denial trigger, so confirm the chosen category with your employer's immigration counsel before filing.
Search Migrate Mate to find sponsoring employers by role
Use Migrate Mate to filter Technical Director openings by TN visa sponsorship. The platform surfaces employers actively hiring TN professionals, saving you from applying to postings where sponsorship is unavailable or the role structure won't support TN classification.
Prepare for secondary inspection if entering as a Canadian
Canadian TN applicants are processed at the port of entry, but Technical Director roles with broad management duties can prompt secondary review. Bring your degree transcripts, the support letter, and an employment contract or offer letter to resolve any questions on the spot.
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Find Technical Director JobsTechnical Director TN Visa: Frequently Asked Questions
Does a Technical Director role actually qualify for TN visa status?
It depends on how the role is structured. Technical Director is not a listed USMCA occupation, so your employer must map your duties to a qualifying category, most commonly engineer or computer systems analyst. If your day-to-day work is primarily technical and your degree aligns to that field, qualification is achievable. Roles that skew toward general management without clear technical delivery functions are more difficult to support.
How does TN compare to H-1B for Technical Director positions?
TN has no annual lottery and no numerical cap for Canadian citizens, so you can start work as soon as CBP approves your application at the port of entry. H-1B requires winning a lottery with roughly a 25 percent selection rate, then waiting until October 1 to begin work. For Mexican citizens, TN has an annual allocation of 5,500, but consular appointments are typically faster than the H-1B cycle. If you qualify for TN, it is almost always faster to activate.
Where can I find Technical Director jobs that offer TN visa sponsorship?
Migrate Mate is built specifically for this search. You can filter openings by TN visa sponsorship and job title, so you're only seeing employers that have indicated willingness to support TN professionals. Posting filters on general job boards don't reliably surface sponsorship intent, and reaching out cold to employers without that signal wastes time in an already competitive senior-level hiring process.
Can a Mexican citizen get TN status for a Technical Director role at a U.S. consulate?
Yes. Mexican TN applicants apply at a U.S. consulate rather than at the border. The USMCA allocates 5,500 TN visas annually for Mexican nationals, and demand has not historically exhausted that cap. You'll need your employer's support letter, proof of your qualifying degree, and a completed DS-160. Approval timelines vary by consulate, but most applicants receive a decision at the interview.
What happens to my TN status if I'm promoted from Technical Director to VP of Engineering?
A title change that significantly shifts your duties requires a new TN filing before you assume the updated role. TN status is tied to the specific position described in the original support letter. If the VP role still maps to a qualifying USMCA occupation and maintains the same technical core, your employer can file a new TN petition reflecting the change. Assuming the new title without updating your TN is a status violation.
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