TN Visa Data Governance Manager Jobs
Data Governance Manager roles qualify for TN visa sponsorship under the USMCA's Systems Analyst or Computer Systems Analyst category when the position requires directing data frameworks, policies, and compliance programs. Canadian citizens can apply at the border with no cap. Mexican citizens require a consular interview under the annual TN allocation.
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Get Access To All JobsABOUT ROCKEFELLER CAPITAL MANAGEMENT:
Rockefeller Capital Management was established in 2018 as a leading independent financial advisory services firm. Originally founded in 1882 as the family office of John D. Rockefeller, the Firm has evolved to offer strategic advice to ultra- and high-net-worth individuals and families, institutions, and corporations from offices in 37 markets throughout the United States, as well as an office in London. The Firm oversees $236 billion in client assets as of September 30, 2026.
POSITION:
The primary purpose of this role is to enable the safe, deliberate, and accelerated adoption of AI across Rockefeller Capital Management. Partnering closely with Risk, Compliance, Cybersecurity (CISO), and AI Risk Governance teams, the individual translates governance requirements into scalable technical controls that govern the firm's AI ecosystem, including agents, copilots, skills, plugins, connectors, and the large language models that power them.
AI platforms evolve rapidly, with new models, capabilities, and features released on a near-weekly basis. This role is responsible for staying ahead of that pace by continuously evaluating emerging technologies from providers such as Microsoft, Anthropic, and other vendors. The individual will assess new capabilities through both a business value and risk lens, providing clear recommendations on whether they should be adopted, piloted, restricted, or deferred.
This is a highly hands-on technical role focused on operationalizing AI governance. Rather than creating policy, the individual interprets existing requirements and implements them directly through platform configuration, policy enforcement, APIs, automation, and administrative tooling across Microsoft and Anthropic environments. The goal is to ensure AI controls are embedded, measurable, and enforceable while supporting the firm's continued innovation and growth.
Responsibilities:
- Interpret and implement enterprise control requirements. Translate policies, standards, and risk decisions issued by Risk, Compliance, the CISO organization, and AI Risk Governance into concrete technical controls, review gates, and deployment standards for AI capabilities.
- Configure and script the controls. Implement guardrails directly across Microsoft and Anthropic services — tenant and admin center settings, Copilot and Copilot Studio policies, Azure AI Foundry configuration, Anthropic enterprise administration, Entra access policies, and Purview data protection controls.
- Automate governance at scale. Build scripts and automation (PowerShell, Graph API, Python, KQL) to inventory agents and skills, enforce policy, detect drift, monitor usage, and produce audit and compliance evidence.
- Own agents and skills end to end. Maintain the inventory, ownership model, and lifecycle — from intake and review through deployment, monitoring, recertification, and retirement.
- Run capability review assessments. Evaluate new AI features and use cases against firm-defined risk, security, and compliance criteria — covering business value, security exposure, data access and entitlement impact, supervisory obligations, operational readiness, and fit with enterprise architecture standards — and escalate to the appropriate governance body where a policy decision is required.
- Assess LLMs and model changes. Test and compare models across providers, track model and version updates, evaluate capability shifts and failure modes, and provide the technical evidence governance bodies need to decide where each model may be used.
- Stay ahead of AI evolution. Systematically track roadmaps, release notes, and previews across Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Anthropic, and emerging platforms, and translate each change into a clear enable, pilot, restrict, or defer recommendation.
- Implement controls for safe sharing and reuse. Configure how agents and skills are scoped, shared, and permissioned in line with approved requirements, including departmental boundaries, intent review, and guardrails against unintended data exposure.
- Partner across the firm. Work closely with Risk, Compliance, the CISO organization, AI Risk Governance, platform engineering, product, and business teams to confirm intent, close gaps, and ensure capabilities launch with the required controls already in place.
- Report clearly to leadership and governance forums. Produce decision records, review summaries, control evidence, and executive-ready briefings on AI capability posture, risks, and adoption.
QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Systems, Data Science, Cybersecurity, or a related technical field.
- 5+ years in enterprise technology, with at least 2 years working directly with generative AI, LLMs, copilots, or agent platforms.
- Demonstrated hands-on experience configuring tenants, platform, or security controls — not just specifying them.
- Proficiency in scripting and automation with PowerShell, Python, Microsoft Graph API, and KQL, applied to policy enforcement, monitoring, or audit reporting.
- Hands-on experience with at least one major enterprise AI platform: Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, or Anthropic Claude.
- Working knowledge of how agents, skills, prompts, grounding, connectors, and retrieval behave — including where they can leak data or produce unreliable results.
- Strong grasp of identity, access, and data protection fundamentals, ideally in an Entra and Purview environment.
- Proven ability to read a policy or control standard and determine what it means in practice for a platform configuration.
- Clear, concise writing and the confidence to present recommendations to senior stakeholders.
SKILLS:
- Familiarity with AI cost and consumption management — token metering, prompt-caching economics, spending limits, and chargeback or show back models.
- Exposure to responsible AI or AI risk frameworks such as the NIST AI Risk Management Framework or ISO/IEC 42001.
- Familiarity with AI supply-chain risk — untrusted skills, plugins, and MCP servers as an attack vector — and with registry, scanning, and gating approaches to control them.
- Practical experience with model evaluation, benchmarking, red-teaming, or prompt-injection and jailbreak testing.
- Experience ingesting AI platform telemetry into Microsoft Sentinel or Defender XDR and extending incident-response playbooks to AI-specific alerts.
- Experience with network- and proxy-layer enforcement of AI traffic, including application-identity or URL-category policy, TLS inspection, and egress control for cloud-resident agents that bypass the corporate firewall.
- Familiarity with Microsoft Purview DLP, sensitivity labels, Entra External ID, and data entitlement enforcement.
- Hands-on experience deploying client and endpoint policy through Intune or Group Policy — for example, pinning an AI desktop application to the enterprise tenant and forcing SSO.
- Familiarity with agent and non-human identity models, including on-behalf-of execution, admin-assigned agent permissions, and central agent registration in Entra, Agent 365, or Azure AI Foundry.
- Experience administering the agent and skill lifecycle in Copilot Studio, Agent 365, or Anthropic enterprise administration — inventory, ownership, sharing controls, and inactivity review.
- Experience with infrastructure-as-code or configuration management (Terraform, Bicep, ARM) applied to platform governance.
- Experience supporting technology intake, control testing, or audit and evidence process.
- Experience in financial services or another regulated industry, including familiarity with supervisory and recordkeeping obligations.
- Experience validating audit, e-discovery, and records-retention coverage for a new platform, including provider compliance or audit APIs and OpenTelemetry-based log export.
COMPENSATION RANGE:
The anticipated base salary range for this role is $150,000 to $200,000. Base salary for the role will depend on several factors, including a candidate’s qualifications, skills, competencies, and experience, and may fall outside of the range shown. In addition, this role may be eligible for a discretionary bonus. Rockefeller Capital Management offers a comprehensive benefit package including health coverage, vacation time, paid leave, retirement plan, and more.
DISCLOSURE:
Rockefeller & Co. LLC, Rockefeller Financial LLC, Rockefeller Trust Company, N.A., The Rockefeller Trust Company (Delaware), Rockefeller Financial Services, Inc. and all other subsidiaries of Rockefeller Capital Management L.P. (individually and collectively, “Rockefeller”) is an equal opportunity employer and does not discriminate on the basis of race, religion, sex, gender, sexual orientation, gender identity or expression, national origin, citizenship, age, military or veteran status, marital or partnership status, caregiver status, legally recognized disability, or any other basis protected by applicable federal, state or local law (“protected characteristics”).
Rockefeller Capital Management participates in the E-Verify program in certain locations, as required by law.
ABOUT ROCKEFELLER CAPITAL MANAGEMENT:
Rockefeller Capital Management was established in 2018 as a leading independent financial advisory services firm. Originally founded in 1882 as the family office of John D. Rockefeller, the Firm has evolved to offer strategic advice to ultra- and high-net-worth individuals and families, institutions, and corporations from offices in 37 markets throughout the United States, as well as an office in London. The Firm oversees $236 billion in client assets as of September 30, 2026.
POSITION:
The primary purpose of this role is to enable the safe, deliberate, and accelerated adoption of AI across Rockefeller Capital Management. Partnering closely with Risk, Compliance, Cybersecurity (CISO), and AI Risk Governance teams, the individual translates governance requirements into scalable technical controls that govern the firm's AI ecosystem, including agents, copilots, skills, plugins, connectors, and the large language models that power them.
AI platforms evolve rapidly, with new models, capabilities, and features released on a near-weekly basis. This role is responsible for staying ahead of that pace by continuously evaluating emerging technologies from providers such as Microsoft, Anthropic, and other vendors. The individual will assess new capabilities through both a business value and risk lens, providing clear recommendations on whether they should be adopted, piloted, restricted, or deferred.
This is a highly hands-on technical role focused on operationalizing AI governance. Rather than creating policy, the individual interprets existing requirements and implements them directly through platform configuration, policy enforcement, APIs, automation, and administrative tooling across Microsoft and Anthropic environments. The goal is to ensure AI controls are embedded, measurable, and enforceable while supporting the firm's continued innovation and growth.
Responsibilities:
- Interpret and implement enterprise control requirements. Translate policies, standards, and risk decisions issued by Risk, Compliance, the CISO organization, and AI Risk Governance into concrete technical controls, review gates, and deployment standards for AI capabilities.
- Configure and script the controls. Implement guardrails directly across Microsoft and Anthropic services — tenant and admin center settings, Copilot and Copilot Studio policies, Azure AI Foundry configuration, Anthropic enterprise administration, Entra access policies, and Purview data protection controls.
- Automate governance at scale. Build scripts and automation (PowerShell, Graph API, Python, KQL) to inventory agents and skills, enforce policy, detect drift, monitor usage, and produce audit and compliance evidence.
- Own agents and skills end to end. Maintain the inventory, ownership model, and lifecycle — from intake and review through deployment, monitoring, recertification, and retirement.
- Run capability review assessments. Evaluate new AI features and use cases against firm-defined risk, security, and compliance criteria — covering business value, security exposure, data access and entitlement impact, supervisory obligations, operational readiness, and fit with enterprise architecture standards — and escalate to the appropriate governance body where a policy decision is required.
- Assess LLMs and model changes. Test and compare models across providers, track model and version updates, evaluate capability shifts and failure modes, and provide the technical evidence governance bodies need to decide where each model may be used.
- Stay ahead of AI evolution. Systematically track roadmaps, release notes, and previews across Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Anthropic, and emerging platforms, and translate each change into a clear enable, pilot, restrict, or defer recommendation.
- Implement controls for safe sharing and reuse. Configure how agents and skills are scoped, shared, and permissioned in line with approved requirements, including departmental boundaries, intent review, and guardrails against unintended data exposure.
- Partner across the firm. Work closely with Risk, Compliance, the CISO organization, AI Risk Governance, platform engineering, product, and business teams to confirm intent, close gaps, and ensure capabilities launch with the required controls already in place.
- Report clearly to leadership and governance forums. Produce decision records, review summaries, control evidence, and executive-ready briefings on AI capability posture, risks, and adoption.
QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Systems, Data Science, Cybersecurity, or a related technical field.
- 5+ years in enterprise technology, with at least 2 years working directly with generative AI, LLMs, copilots, or agent platforms.
- Demonstrated hands-on experience configuring tenants, platform, or security controls — not just specifying them.
- Proficiency in scripting and automation with PowerShell, Python, Microsoft Graph API, and KQL, applied to policy enforcement, monitoring, or audit reporting.
- Hands-on experience with at least one major enterprise AI platform: Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, or Anthropic Claude.
- Working knowledge of how agents, skills, prompts, grounding, connectors, and retrieval behave — including where they can leak data or produce unreliable results.
- Strong grasp of identity, access, and data protection fundamentals, ideally in an Entra and Purview environment.
- Proven ability to read a policy or control standard and determine what it means in practice for a platform configuration.
- Clear, concise writing and the confidence to present recommendations to senior stakeholders.
SKILLS:
- Familiarity with AI cost and consumption management — token metering, prompt-caching economics, spending limits, and chargeback or show back models.
- Exposure to responsible AI or AI risk frameworks such as the NIST AI Risk Management Framework or ISO/IEC 42001.
- Familiarity with AI supply-chain risk — untrusted skills, plugins, and MCP servers as an attack vector — and with registry, scanning, and gating approaches to control them.
- Practical experience with model evaluation, benchmarking, red-teaming, or prompt-injection and jailbreak testing.
- Experience ingesting AI platform telemetry into Microsoft Sentinel or Defender XDR and extending incident-response playbooks to AI-specific alerts.
- Experience with network- and proxy-layer enforcement of AI traffic, including application-identity or URL-category policy, TLS inspection, and egress control for cloud-resident agents that bypass the corporate firewall.
- Familiarity with Microsoft Purview DLP, sensitivity labels, Entra External ID, and data entitlement enforcement.
- Hands-on experience deploying client and endpoint policy through Intune or Group Policy — for example, pinning an AI desktop application to the enterprise tenant and forcing SSO.
- Familiarity with agent and non-human identity models, including on-behalf-of execution, admin-assigned agent permissions, and central agent registration in Entra, Agent 365, or Azure AI Foundry.
- Experience administering the agent and skill lifecycle in Copilot Studio, Agent 365, or Anthropic enterprise administration — inventory, ownership, sharing controls, and inactivity review.
- Experience with infrastructure-as-code or configuration management (Terraform, Bicep, ARM) applied to platform governance.
- Experience supporting technology intake, control testing, or audit and evidence process.
- Experience in financial services or another regulated industry, including familiarity with supervisory and recordkeeping obligations.
- Experience validating audit, e-discovery, and records-retention coverage for a new platform, including provider compliance or audit APIs and OpenTelemetry-based log export.
COMPENSATION RANGE:
The anticipated base salary range for this role is $150,000 to $200,000. Base salary for the role will depend on several factors, including a candidate’s qualifications, skills, competencies, and experience, and may fall outside of the range shown. In addition, this role may be eligible for a discretionary bonus. Rockefeller Capital Management offers a comprehensive benefit package including health coverage, vacation time, paid leave, retirement plan, and more.
DISCLOSURE:
Rockefeller & Co. LLC, Rockefeller Financial LLC, Rockefeller Trust Company, N.A., The Rockefeller Trust Company (Delaware), Rockefeller Financial Services, Inc. and all other subsidiaries of Rockefeller Capital Management L.P. (individually and collectively, “Rockefeller”) is an equal opportunity employer and does not discriminate on the basis of race, religion, sex, gender, sexual orientation, gender identity or expression, national origin, citizenship, age, military or veteran status, marital or partnership status, caregiver status, legally recognized disability, or any other basis protected by applicable federal, state or local law (“protected characteristics”).
Rockefeller Capital Management participates in the E-Verify program in certain locations, as required by law.
See all TN Visa Data Governance Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa Data Governance Manager Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship as a Data Governance Manager
Align your credentials to Systems Analyst classification
TN visa eligibility for Data Governance Manager roles depends on framing the position as a Systems Analyst function. Your degree and the job description both need to reflect data systems design, analysis, or architecture, not purely managerial duties.
Request a duties letter before accepting an offer
Ask the hiring manager to draft a support letter that lists specific technical duties like data lineage, metadata management, and policy enforcement. Vague letters citing only leadership responsibilities create unnecessary risk at the border or consulate.
Target employers with established data and compliance teams
Companies already running data governance programs are far more likely to understand TN sponsorship requirements. Look for organizations posting roles alongside titles like Data Steward, Data Quality Analyst, or Chief Data Officer.
Use Migrate Mate to find employers sponsoring TN visas
Search Migrate Mate to identify employers actively filing TN sponsorship for data and technology roles. Filtering by role type helps you focus your applications on organizations already familiar with the USMCA process.
Verify your Canadian or Mexican credentials map to U.S. equivalents
CBP officers assess whether your degree title and field directly support the TN category. A Canadian degree in information management or computer science typically satisfies this, but interdisciplinary degrees may need a credential evaluation letter.
Confirm TN status portability before switching employers mid-year
Unlike H-1B visa, TN status is tied to a specific employer. If you accept a new Data Governance Manager role, your new employer must prepare a fresh TN support letter before your start date, and Canadian citizens can present it at the border the same day.
Data Governance Manager TN Visa: Frequently Asked Questions
Does a Data Governance Manager role qualify for TN visa status?
It can, but the job title alone does not determine eligibility. TN visa status is granted by occupational category, and Data Governance Manager roles most commonly qualify under the Systems Analyst classification. The position must emphasize technical duties like data architecture, metadata management, or compliance system design rather than purely supervisory functions. A well-drafted employer support letter is essential to establish that connection at the port of entry or consulate.
How does TN visa sponsorship compare to H-1B for Data Governance Manager roles?
TN is generally faster and more predictable for this role. There is no lottery for Canadian citizens, no annual cap waiting period, and Canadians can receive approval at the border on the same day they present documents. H-1B requires entering a lottery with roughly one-in-four selection odds and a filing timeline that can stretch over a year before you start. Mexican professionals face a consular appointment process under the TN allocation, but still avoid the H-1B lottery entirely.
What documents does a Data Governance Manager need for TN visa sponsorship?
You need a valid Canadian or Mexican passport, an employer support letter that describes the data governance role in systems analyst terms, and evidence of your qualifying degree. If your degree is in a closely related but not exact field, a credential evaluation from a recognized evaluation service can strengthen your case. Mexican citizens also require a DS-160 application and a consulate appointment before traveling.
How can I find Data Governance Manager jobs that offer TN visa sponsorship?
Migrate Mate is built specifically to surface jobs with TN visa sponsorship for Canadian and Mexican professionals. Rather than filtering through general job boards where sponsorship status is often unclear or absent, Migrate Mate focuses your search on employers already familiar with the USMCA process. For a niche role like Data Governance Manager, targeting employers that understand TN classification makes the offer and filing process substantially more efficient.
Can a Data Governance Manager on TN status change employers without losing status?
Yes, but TN status does not automatically transfer to a new employer. Your new employer must prepare a fresh support letter outlining the Data Governance Manager duties in Systems Analyst terms before you begin work. Canadian citizens can present the new letter at a port of entry or pre-clearance location and receive same-day approval. Mexican citizens need to schedule a new consulate appointment, which adds lead time to any employer transition.