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Ai Risk Jobs in New Jersey (NOW HIRING)

Burlington Stores

VP, IT Enterprise AI

Beverly, NJ · On-site

$152K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Model risk management (bias, drift, explainability, monitoring); Data privacy/security requirements and information protection; Vendor/third-party AI risk and contract standards; AI usage standards ...

Burlington

VP, IT Enterprise AI

Edgewater Park, NJ · On-site

$152K - $191K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Model risk management (bias, drift, explainability, monitoring); Data privacy/security requirements and information protection; Vendor/third-party AI risk and contract standards; AI usage standards ...

CoAction

Senior AI Engineer

Morristown, NJ · On-site

$107K - $147K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Collaborate with others to support AI governance controls (vendor/model intake, risk reviews, documentation, and change management). * Contribute to security hardening for AI systems, including ...

CoAction

Senior AI Engineer

Morristown, NJ

$107K - $147K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Collaborate with others to support AI governance controls (vendor/model intake, risk reviews, documentation, and change management). * Contribute to security hardening for AI systems, including ...

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Ai Risk information

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

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For Ai Risk jobs in New Jersey, the most frequently searched job titles are:

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The top searched job categories for Ai Risk jobs in New Jersey are:

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Cities in New Jersey with the most Ai Risk job openings:

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Infographic showing various Ai Risk job openings in New Jersey as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

VP, IT Enterprise AI

Burlington Stores

Beverly, NJ • On-site

$152K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Burlington rating

4.5

Company rating: 4.5 out of 10

Based on 941 frontline employees who took The Breakroom Quiz

20th of 21 rated department stores

Job description

Position Overview
The VP, Enterprise AI will define and deliver the organization's enterprise AI strategy, translating it into a governed, scalable, and measurable portfolio of AI capabilities and solutions. This role defines and implements the enterprise AI roadmap, establishes AI governance and responsible AI practices, leads AI program planning and execution, and serves as the owner of enterprise AI platform architecture as well as a thought partner to Business Sponsors and IT Application Owners for AI systems (build/buy/partner) across the enterprise. The VP, Enterprise AI will partner closely with IT and Business Sr. Leadership, IT Security, ED&A, Legal, HR, Finance, Enterprise Architecture, and Product/Engineering leaders to ensure AI investments deliver measurable business value, reduce risk, and strengthen competitive advantage. The VP, Enterprise AI will provide both strategic oversight and tactical leadership to the business as they develop AI use cases and implement AI solutions. The VP, Enterprise AI will develop AI education and end user support across the enterprise, serve as an AI advisor to executive leadership, develop and mentor direct and indirect reports, and foster a culture of pragmatic architecture and responsible innovation. The role requires a strong blend of retail industry expertise, technical AI acumen, and ability to navigate from strategic vision to detailed execution to ensure the AI roadmap and programs remain aligned with the Company's strategic priorities, risk and compliance requirements, and financial plans.
A Day In The Life
Enterprise AI Strategy & Program Delivery
  • Define and continuously evolve the enterprise AI strategy aligned to corporate goals, operating model, and investment priorities.
  • Establish value hypotheses, measurable KPIs, and benefits tracking for AI initiatives.
  • Create executive-facing narratives and decision materials for SLT/Board-level communication on AI strategy, progress, and risk posture.
  • Maintain the multi-year AI Roadmap, including planning, budgeting, resourcing, and dependency management.
  • Lead AI vendor strategy and partnerships (cloud providers, model providers, tooling vendors, systems integrators).
  • Identify and prioritize AI opportunities across functions and provide oversight to AI portfolio financials, capacity planning, and benefits realization.

AI Governance and Risk Management
  • Lead cross-functional Enterprise AI Governance board.
  • Define and enforce policies for: Model risk management (bias, drift, explainability, monitoring); Data privacy/security requirements and information protection; Vendor/third-party AI risk and contract standards; AI usage standards for employees, including acceptable use, training, and auditability.
  • Implement controls and processes for approvals, audits, incident response, and ongoing compliance with relevant regulatory and ethical expectations.
  • Create intake, evaluation, stage gates, and release standards for AI initiatives-ensuring alignment with architecture, security, and value realization criteria.
  • Drive program execution with clear milestones, risk management, and change management to ensure adoption and measurable outcomes.

AI Platform Architecture & Applications
  • Develop enterprise AI platform blueprint and reference architecture spanning: Data pipelines, feature stores, and data governance integration; Model development, fine-tuning, evaluation, and lifecycle management; MLOps/LLMOps tooling, CI/CD, monitoring; Integration patterns.
  • Partner with CISO to develop and maintain identity, access, and security controls (zero trust principles) and with Legal to embed controls and standard terms into vendor contracts.
  • Align AI capabilities to target-state architecture and technology standards. Ensure scalability, reliability, and cost optimization across environments.
  • Partner with ED&A leaders to ensure data readiness, quality, lineage, and governance enabling AI success.
  • Serve as the technology owner for enterprise AI systems and services, including AI platforms, enterprise copilots and productivity AI, and domain AI products
  • Define support and escalation paths with ITSM integration; ensure resilience, incident response, and continuity for AI services.

Adoption and End User Support
  • Create a scalable enablement model (training, communities of practice, 3rd party resources).
  • Develop change management strategies to drive adoption, shift ways of working, and ensure responsible use.

Leadership
  • Oversee AI programs, projects, and activities, coordinating with IT Leadership.
  • Implement performance metrics and executive-level reporting to support innovation and continuous improvement.
  • Coach and mentor team members, fostering a culture of development and professional growth.
  • Serve as an advisory and thought-partner to cross-functional executives and AI champions.

You'll Come With
Education and Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or Data Science.

Experience:
  • 12+ years in technology leadership with 5+ years in AI/ML, data platform, or advanced analytics at enterprise scale.
  • Proven executive leadership in defining and executing multi-year transformation programs with measurable outcomes.
  • Hands-on understanding of AI/ML lifecycle, modern model approaches (including GenAI patterns), and operationalization; AI architecture and platform design (Gemini/Azure/AWS/Claude) and generative AI tools
  • Enterprise architecture design and oversight.
  • Design and oversight of governance and risk management programs.
  • Familiarity with cybersecurity architecture and compliance regulations (PCI, privacy-by-design).
  • Retail experience across multiple portfolios (Stores, Supply Chain, Merchandising).

Skills and Abilities:
  • Highly accountable and results-driven with a focus on operational excellence.
  • Flexible and adaptable to the fast-paced, highly responsive, customer-centric nature of retail.
  • Comfortable operating with ambiguity and leading through change.
  • Able to manage multiple projects, effectively leveraging multi-disciplinary resources.
  • Executive-level presentation with ability to influence indirectly and collaborate effectively across all levels of the organization.
  • Proficiency in financial analysis, budgeting, business case development.
  • Proficiency in Microsoft applications: MS Office Suite (Word, Excel, PowerPoint, Copilot).

Come join our team. You're going to like it here!
You will enjoy competitive wages, flexible hours, and an associate discount. Burlington's benefits package includes medical, dental and vision coverage including life and disability insurance. Full-time associates are also eligible for paid time off, paid holidays and a 401(k) plan. We are a rapidly growing brand and provide a variety of training and development opportunities so our associates can grow with us. Our teams work hard and have fun together! Burlington associates make a difference in the lives of customers, colleagues, and the communities where we live and work every day. Burlington Stores, Inc. is an equal opportunity employer committed to workplace diversity.
Individual pay decisions will be based on a variety of factors, such as but not limited to, qualifications, education, job-related skills, relevant experience, and geographic location.
Posting Number R103320
Location New Jersey-Edgewater Park
Address 4287 Route 130 S
Zip Code 08010
Pay Rate Salaried
Career Site Category Corporate
Position Category Information Technology
Job Type Full-Time
Remote Type Hybrid
Evergreen No

What Burlington employees say

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Get the full story on Breakroom

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About Burlington

Sourced by ZipRecruiter

At Burlington, we embrace the many facets of diversity that strengthen our communities where we live and work every day. If you want to grow your retail career with a caring and inclusive organization, come join the Burlington Stores team as a Customer Service Supervisor, Selling Floor Supervisor or Receiving Team Supervisor!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Burlington, NJ, US

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