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Team Overview
The Global Cyber Governance, Risk & Compliance (GRC) team oversees cybersecurity governance, risk management, compliance, controls, and regulatory readiness across TransUnion. The team partners with Information Security, Technology, Audit, Compliance, Legal, Privacy, and Enterprise Risk Management to strengthen cyber resilience and support trusted business operations. This position reports to the SVP, Global Cyber Governance, Risk & Compliance.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Role Overview and Core Responsibilities
- Serve as a strategic advisor and operational partner to the SVP, Global Cyber Governance, Risk & Compliance, translating organizational priorities into executable plans and measurable outcomes.
- Develop and maintain multi-year strategies, annual operating plans, organizational roadmaps, performance objectives, and a centralized operating rhythm for the Global Cyber GRC organization.
- Lead the development and communication of key performance indicators, key risk indicators, risk-reduction measures, executive dashboards, and governance reporting for the CISO, executive leadership, and business stakeholders.
- Create executive presentations, board-ready materials, and communication artifacts that translate complex cybersecurity, risk, compliance, and controls information into clear business insights.
- Lead a small team responsible for Cyber GRC reporting, performance metrics, data analysis, governance reporting, and executive communications.
- Modernize and automate Cyber GRC processes through artificial intelligence, workflow automation, analytics, and emerging technologies to improve efficiency, consistency, and scalability.
- Partner with Information Security Officers, Technology, Audit, Compliance, Legal, Privacy, Technology Risk, Enterprise Risk Management, Finance, and business leaders to improve risk, control, and compliance reporting.
- Oversee budget planning, workforce planning, resource allocation, and financial tracking activities for the Global Cyber GRC organization.
Monitor strategic initiatives and transformation efforts, providing leadership with visibility into progress, dependencies, risks, issues, remediation priorities, and business outcomes. *
Required Knowledge and Experiences
- At least 10 years of experience in cybersecurity, information security, risk management, compliance, governance, controls, technology risk, audit, or a related field, including experience operating in a complex enterprise environment.
- Experience supporting senior executives through strategic planning, organizational governance, executive communications, operational management, and data-driven decision-making.
- Demonstrated experience leading Cyber GRC, cyber risk, compliance, controls assurance, technology risk, or governance programs and translating complex requirements into measurable business outcomes.
- Strong knowledge of cybersecurity governance, control effectiveness, regulatory compliance, and risk management methodologies, including frameworks such as the NIST Cybersecurity Framework, NIST Special Publication 800-53, ISO/IEC 27001, COBIT, CIS Controls, FFIEC, PCI DSS, and SOX.
- Bachelor’s degree in cybersecurity, business administration, information technology, risk management, or a related discipline; a master’s degree is preferred.
Required Technical Skills
- Advanced proficiency with Microsoft 365 and Power BI, including the development of executive presentations, dashboards, scorecards, and performance reports.
- Experience using reporting and analytics platforms to analyze complex datasets and translate results into actionable recommendations for executive audiences.
- Experience developing and managing key performance indicators, key risk indicators, risk-reduction measures, compliance reports, and control-effectiveness metrics.
- Experience implementing artificial intelligence-enabled solutions and workflow automation tools to improve manual governance, assessment, reporting, and compliance processes.
- Ability to design and maintain governance reporting frameworks, organizational operating models, and performance-measurement programs.
We’re also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we’re happy to support your career development and growth in:
- A Certified Information Systems Security Professional, Certified Information Systems Auditor, Certified in Risk and Information Systems Control, Certified in the Governance of Enterprise IT, or comparable professional certification.
- Experience supporting a CISO-level organization and developing executive operating models, governance processes, and organizational performance frameworks.
- Experience leading large-scale Cyber GRC transformation, modernization, process-improvement, or automation initiatives.
- Experience working in a highly regulated industry, such as financial services, credit reporting, banking, insurance, or healthcare.
- Lean Six Sigma certification or experience applying structured process-improvement practices.
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Benefits that support every part of your life:
At TransUnion, we design benefits to help you feel well, do well, and plan well—from day one.
For Your Health : Enjoy day-one eligibility for medical, dental, and vision coverage, plus supplemental plan options. Spousal, domestic partner, and other eligible dependent coverage is available on select plans. Choose tax‑advantaged HSA and FSA accounts to make everyday care more affordable.
For Your Protection : We’ve got your back with company‑paid basic life and AD&D, optional voluntary life and AD&D for you and your family, and short‑ and long‑term disability. You can also opt into a legal plan, pet insurance, and travel accident coverage.
For Your Family : From adoption assistance and fertility planning coverage to caregiver support, we’re here for every chapter. Access Dependent Care FSA for possibility of an employer match, a complimentary Care@Work membership, and up to 12 weeks of paid parental leave with eligibility for a thoughtful, gradual return.
For Your Future : Build toward what’s next with our 401(k) with employer match and Employee Stock Purchase Plan (ESPP). Tap financial wellness resources, career coaching, and optional long‑term care insurance to plan confidently.
For You : Grow and recharge with tuition reimbursement, flexible time off for exempt employees or paid time off for nonexempt employees, up to 12 paid holidays per year, commuter benefits, employee discounts, charitable gift matching, and paid volunteer time off, plus corporate volunteer events that make it easy to give back.
For Your Wellness : Access 24/7 support including professional therapy, coaching, and emotional well‑being programs alongside guided meditation and resources that support physical, mental, social, and financial wellness.
We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion’s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting [email protected] .
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position.
Pay Scale Information:
The U.S. base salary range for this position is $142,500.00 - $237,500 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion’s annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents.
 TransUnion Overview:
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good , which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
TransUnion's Internal Job Title:
Sr Manager, InfoSec Risk Management & Governance Company:
TransUnion LLC
Salary Context
This $142K-$237K range is above the median for AI/ML Engineer roles in our dataset (median: $175K across 1356 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 8,943 AI roles we're tracking, AI/ML Engineer positions make up 75% of the market. At TransUnion, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $212,000 based on 11,866 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $228,700. This role's midpoint ($190K) sits 10% below the category median. Disclosed range: $142K to $237K.
Across all AI roles, the market median is $213,380. Top-quartile compensation starts at $264,148. The 90th percentile reaches $319,310. For comparison, the highest-paying categories include AI Safety ($253,100) and Research Engineer ($252,000). By seniority level: Entry: $110,408; Mid: $193,200; Senior: $228,700; Director: $272,250; VP: $235,000.
TransUnion AI Hiring
TransUnion has 2 open AI roles right now. They're hiring across AI/ML Engineer. Positions span Remote, US, Chicago, IL, US. Compensation range: $80K - $237K.
Location Context
AI roles in Chicago pay a median of $194,700 across 390 tracked positions. That's 9% below the national median.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 8,943 open positions tracked in our dataset. By seniority: 175 entry-level, 4,132 mid-level, 3,268 senior, and 1,368 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (521 positions). The remaining 8,351 roles require on-site or hybrid attendance.
The market median for AI roles is $213,380. Top-quartile compensation starts at $264,148. The 90th percentile reaches $319,310. Highest-paying categories: AI Safety ($253,100 median, 57 roles); Research Engineer ($252,000 median, 419 roles); AI Engineering Manager ($251,622 median, 51 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 8,943 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,739), AI Product Manager (403), AI Software Engineer (402). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (175) are outnumbered by mid-level (4,132) and senior (3,268) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,368 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (521 positions), with 8,351 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,380. Top-quartile roles start at $264,148, and the 90th percentile reaches $319,310. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $253,100 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,422 postings), Aws (808 postings), Azure (638 postings), Rag (555 postings), Gcp (457 postings), Pytorch (433 postings), Claude (341 postings), Kubernetes (337 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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