Vice President, Responsible AI

$198K - $424K New York, NY, US Mid Level AI Safety

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Skills & Technologies

Forethought

About This Role

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About the Role

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Reporting to the Global Chief Data \& Analytics Officer, the Vice President of Responsible AI is responsible for establishing and evolving the end\-to\-end firmwide Responsible AI strategy and driving and influencing the implementation of technologies, tools, and best practices to improve AI governance and ensure the creation of safe and secure AI capabilities. Critically, this leader will accelerate Thomson Reuters' Responsible AI program, developing guidelines and implementing technologies that ensure AI systems are transparent, fair, and minimize bias, while prioritizing data privacy and security.

Partnering closely with all business units across TR, the VP Responsible AI will assess business needs and provide thought\-leadership and tactical guidance to improve AI stewardship, model development, safety and security. This leader will deliver industry best practices at scale, creating and implementing automated risk assessments, AI inventory management, continuous monitoring, and importantly embedding Responsible AI directly into the AI model life cycle. The VP Responsible AI will ensure standards and best practices are implemented and adhered to across business functions, product teams, and business segments, while observing regulations and contractual requirements about how AI can be used across the company, including emerging regulations like the EU AI Act.

A strong customer orientation will be critical to ensure that teams are able to drive more effective business decisions and better serve end users from more accessible high\-quality AI\-enabled use cases, ultimately accelerating the delivery of AI at Thomson Reuters. This leader will also need to be an agent of change to build new AI disciplines and drive adoption of AI principles through influence, communication, and education. Critically, the VP Responsible AI will need to be a builder, not only transforming data \& AI capabilities, but also building a high\-performing team capable of rapidly executing data \& AI transformation at scale.

This role will lead a 30\-person team and can be based in New York, NY; Minneapolis, MN; Dallas, TX; Toronto; Canada or Zug, Switzerland.

Key Responsibilities

  • Work collaboratively with all parts of TR to enable a data\-driven culture and create trust in TR’s data and AI assets.
  • Establish the AI Responsible AI and Governance operating model (e.g., policies, standards) and enforce AI best practices while creating a frictionless experience for TR’s workforce and external customers.
  • Oversee and develop appropriate governance structures for firmwide AI practices, technically and functionally.
  • Maintain central repository of AI use cases across TR.
  • Embed Responsible AI capabilities directly into model development, MLOps, SDLC, and related AI development practices to ensure a consistent and automated approach to creating safe, secure, and unbiased AI.
  • Provide thought leadership, stewardship, and support for data product and AI use case owners across the enterprise.
  • Own the Responsible AI strategy including the roll out of frameworks, tools, and technologies that integrate with TR’s broader technology stack and strategy, in support of approach to accelerating AI development and delivery for both internal use cases and customer\-facing products.
  • Create and automate a single unified Responsible AI program inclusive of a consistent ethical framework for use of data, Machine Learning, and AI (partnering with Legal, Risk, TR Labs, and AI platform team).
  • Drive engagement and accountability across business data owners and stewards.
  • Work in partnership with Risk, Privacy, Sourcing and ISRM to mature data \& AI privacy, consent and risk management practices
  • Prevent data \& AI misuse and loss through classification and access controls as well as enforce compliance of data \& AI governance, regulations, and frameworks.
  • Manage data security, incident management, and continuous performance improvements – root\-cause analysis, impact assessment, remediation, and operational health.
  • Drive benefit definition and tracking, meeting Financial Plan targets and creating productivity improvements.
  • Articulate broader business concerns and/or regulatory landscape, including key risks and controls (e.g., GDPR, EU AI Act, MIFID, SOX).
  • Become a proactive trusted advisor to the Business – develop relationships with key Business and IT matrix partners.
  • Serve as coach and mentor, identifying, developing, nurturing, and retaining the next generation of data \& AI leaders at TR.
  • Ensure D\&A is a diverse and inclusive organization.

About You

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We are looking for an innovative, sophisticated and experienced candidate with robust AI leadership experience. The VP Responsible AI will think and act big, exercising a bias for action coupled with a thoughtful approach. They will bring hands\-on experience of developing new solutions and leveraging new technologies for managing enterprise AI at scale. They will be seen as a thought leader, with demonstrated knowledge of data \& AI structure, systems/tools, software, and management policies and practices. The ideal candidate will be an accomplished, innovative AI executive with a demonstrated track record of driving and delivering results with a strategic mindset. They will be a proven leader who has built and managed high performing teams, instilling confidence, focus, discipline, camaraderie, and passion within their organization.

The ideal candidate will have a deep background in managing AI governance standards and technologies that deal with large volumes of data and complex AI use cases in hybrid or cloud environments. As new technologies have emerged in AI, this leader remains abreast of best\-in\-class technologies and capabilities and brings experience transforming and modernizing legacy systems. The successful candidate will have experience operating in a complex global organizational environment, and will bring extensive experience leading transformational change programs. They will also have a track record of delivering improved AI management, platforms, governance, and security to the organization.

The VP Responsible AI will be an effective and credible leader, with the ability to influence and get things done through others. They will be able to communicate a vision and bring people along on a journey. The successful candidate will have strong stakeholder management skills, and will be able to engage effectively with global business functions to drive business results. The successful candidate will be an inspirational and compelling leader, who will foster an environment that supports diversity and reflects TR’s mission orientation.

The ideal candidate will also possess the following traits and competencies:

  • Experience driving large\-scale change across a complex and global organization (breadth of complexity is important and experience handling and leading a large global organization).
  • Leadership experience managing complex delivery across development to implementation and delivery to production \- experience across the entire spectrum delivering solutions at scale.
  • Experience leading and developing highly effective teams.
  • Effective communicator, collaborator – able to work with different organizations that rely on high quality and timely data.
  • Strong organization, analytical and problem\-solving skills with an end\-user focus.
  • Ability to prioritize, self\-initiate, and create momentum, even with partial guidance or information.
  • Knowledge and demonstrated practice of master data management, data \& AI governance practices, Responsible AI program development and business and technology issues related to management of enterprise information assets.
  • Experience with Agile methodologies and an understanding of modern web/SaaS technologies and systems.
  • Not afraid to ‘roll up the sleeves’ and seeks to go outside comfort zone to learn – pushes the team to do the same.
  • Experimental mindset to drive innovation.
  • Bachelor's degree or equivalent experience in Computer Science, Library Sciences, Information Technology or a related field preferred
  • Minimum of 10 years of experience with data \& AI management, governance, and model risk management

In terms of the performance and personal competencies required for the position, we would also highlight the following:

Setting Strategy

  • The ability to create and articulate an inspiring vision for the organization, not only for the areas they are directly responsible for, but the enterprise as a whole.
  • The inclination to seek and analyze data from a variety of sources to support decisions and to align others with the organization's overall strategy.
  • An entrepreneurial and creative approach to developing new, innovative ideas that will stretch the organization and push the boundaries within the industry.
  • The ability to effectively balance the desire/need for broad change with an understanding of how much change the organization is capable of handling, to create realistic goals and implementation plans that are achievable and successful.

Executing for Results

  • The ability to set clear and challenging goals while committing the organization to improved performance; tenacious and accountable in driving results.
  • Comfortable with ambiguity and uncertainty; the ability to adapt nimbly and lead others through complex situations.
  • A risk\-taker who seeks data and input from others to foresee possible threats or unintended circumstances from decisions; someone who takes smart risks.
  • A leader who is viewed by others as having a high degree of integrity and forethought in his/her approach to making decisions; the ability to act in a transparent and consistent manner while always taking into account what is best for the organization.

Leading Teams

  • The ability to attract and recruit top talent, motivate the team, delegate effectively, celebrate diversity within the team, and manage performance; widely viewed as a strong developer of others.
  • The ability to persevere in the face of challenges and exhibit a steadfast resolve and relentless commitment to higher standards, which commands respect from followers.
  • A leader who is self\-reflective and aware of his/her own limitations; leads by example and drives the organization's performance with an attitude of continuous improvement by being open to feedback and self\-improvement.

Relationships and Influence

  • Naturally connects and builds strong relationships with others, demonstrating strong emotional intelligence and an ability to communicate clearly and persuasively.
  • An ability to inspire trust and followership in others through compelling influence, powerful charisma, passion in his/her beliefs, and active drive.
  • Encourages others to share the spotlight and visibly celebrates and supports the success of the team.
  • Creates a sense of purpose/meaning for the team that generates followership beyond his/her own personality and engages others to the greater purpose for the organization as a whole.

Driving Sustainability

  • Firmly believes that both sustainability and profit are in the organization’s best long\-term interest.
  • Integrates economic, societal, and environmental factors into a purpose\-driven strategy, turning sustainability into a competitive advantage.
  • Understands and incorporates viewpoints from all key stakeholders to drive decision making and share the benefits.
  • Delivers breakthrough innovations and business models that create value for all stakeholders, continually challenging traditional approaches.
  • Sets audacious business and sustainability goals, driving concerted action and investments, and stays the course in the face of setbacks or push\-back from short\-term oriented stakeholders.

\#LI\-PFF

Replacement: This position is open due to an existing vacancy to support our evolving business needs.

What’s in it For You?

  • Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2\-3 days a week in the office depending on the role) for our office\-based roles while delivering a seamless experience that is digitally and physically connected.
  • Flexibility \& Work\-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work\-life balance.
  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real\-world solutions. Our Grow My Way programming and skills\-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI\-enabled future.
  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company\-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized, award\-winning reputation for inclusion and belonging, flexibility, work\-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro\-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
  • Making a Real\-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt\-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.

In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD\&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption \& Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.\&\#xa;\&\#xa;Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $228,000 USD \- $424,000 USD.\&\#xa;For any eligible US locations, unless otherwise noted, the base compensation range for this role is $198,200 USD \- $368,000 USD.\&\#xa;\&\#xa;Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.\&\#xa;This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.\&\#xa;

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug\-free workplace.

Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave\[email protected] . Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com

Salary Context

This $198K-$424K range is above the 75th percentile for AI Safety roles in our dataset (median: $254K across 6 roles with salary data).

Role Details

Company Thomson Reuters
Title Vice President, Responsible AI
Location New York, NY, US
Category AI Safety
Experience Mid Level
Salary $198K - $424K
Remote No

About This Role

This role sits at the intersection of AI and engineering, building systems that bring machine learning capabilities into production environments. The scope varies by company, but the common thread is applying AI technology to solve real business problems at scale. Most AI roles today require a combination of software engineering fundamentals and domain-specific ML knowledge, with the exact mix depending on the team's maturity and the product they're building.

The AI job market is evolving fast. New role categories emerge as companies figure out what they need to ship AI-powered products. What matters most is the ability to learn quickly, build working systems, and iterate based on real-world performance data. The specific title matters less than the skills you bring and the problems you can solve. Companies are past the experimentation phase and want engineers who can deliver production-quality systems that work reliably at scale.

Across the 1,809 AI roles we're tracking, AI Safety positions make up 0% of the market. At Thomson Reuters, this role fits into their broader AI and engineering organization.

AI hiring keeps growing across industries. Companies in tech, finance, healthcare, and retail are all building AI teams. The strongest demand is for people who can bridge the gap between AI research and production engineering. The shift toward generative AI has created new role types (LLM Engineer, Prompt Engineer, AI Agent Developer) that didn't exist three years ago, while traditional roles (Data Scientist, ML Engineer) have evolved to incorporate LLM capabilities.

What the Work Looks Like

Day-to-day work involves a mix of building, debugging, and collaborating. You'll write code, review pull requests, participate in design discussions, and work with cross-functional teams (product, design, data) to define what AI features should do and how they should behave. Expect to spend time on both technical implementation and communication. Most AI teams operate in two-week sprint cycles, with regular demos and retrospectives. The ratio of heads-down coding to meetings and reviews varies by seniority, with senior roles spending more time on architecture decisions and mentorship.

AI hiring keeps growing across industries. Companies in tech, finance, healthcare, and retail are all building AI teams. The strongest demand is for people who can bridge the gap between AI research and production engineering. The shift toward generative AI has created new role types (LLM Engineer, Prompt Engineer, AI Agent Developer) that didn't exist three years ago, while traditional roles (Data Scientist, ML Engineer) have evolved to incorporate LLM capabilities.

Skills Required

Forethought

Python and cloud platform experience are common requirements. Specific skill needs vary by company and focus area, but familiarity with ML frameworks, data pipelines, and API design covers the basics for most roles. RAG (Retrieval-Augmented Generation), vector databases, and LLM API integration are increasingly standard requirements across role types.

Beyond the core stack, communication skills matter more than many technical candidates realize. The ability to explain AI capabilities and limitations to non-technical stakeholders is a differentiator at every level. Technical writing, documentation, and clear thinking about tradeoffs are underrated skills in AI roles. Experience with evaluation methodology (how to measure whether an AI system is working well) is becoming a core requirement, especially for roles that involve LLM integration.

Look for job postings that specify the problems you'll work on, the tech stack, and the team structure. Vague postings that list every AI buzzword are often a sign the company hasn't figured out what they need. Strong postings describe the product context, the team you'd join, and the specific challenges you'd tackle.

Compensation Benchmarks

AI Safety roles pay a median of $274,200 based on 57 positions with disclosed compensation. This role's midpoint ($311K) sits 13% above the category median. Disclosed range: $198K to $424K.

Across all AI roles, the market median is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($268,700) and Research Engineer ($260,000). By seniority level: Entry: $97,760; Mid: $165,778; Senior: $227,400; Director: $250,000; VP: $250,000.

Thomson Reuters AI Hiring

Thomson Reuters has 3 open AI roles right now. They're hiring across AI/ML Engineer, Data Scientist, AI Safety. Positions span Frisco, TX, US, New York, NY, US. Compensation range: $152K - $424K.

Location Context

AI roles in New York pay a median of $211,000 across 2,760 tracked positions. That's 5% above the national median.

Career Path

Common paths into AI Safety roles include Software Engineer, Data Scientist, Data Analyst.

From here, career progression typically leads toward Senior Engineer, AI Architect, Engineering Manager, Principal Engineer.

Focus on building things that work. A deployed project that solves a real problem is worth more than any certification. Contribute to open-source, build portfolio projects, and invest in fundamentals (software engineering, statistics, systems design) rather than chasing the latest framework. The AI field moves fast, but the engineers who succeed long-term are the ones with strong fundamentals who can adapt to new tools and paradigms as they emerge.

What to Expect in Interviews

AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.

When evaluating opportunities: Look for job postings that specify the problems you'll work on, the tech stack, and the team structure. Vague postings that list every AI buzzword are often a sign the company hasn't figured out what they need. Strong postings describe the product context, the team you'd join, and the specific challenges you'd tackle.

AI Hiring Overview

The AI job market has 1,809 open positions tracked in our dataset. By seniority: 34 entry-level, 797 mid-level, 728 senior, and 250 leadership roles (Director, VP, C-Level). Remote roles make up 16% of the market (294 positions). The remaining 1,505 roles require on-site or hybrid attendance.

The market median for AI roles is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Safety ($274,200 median, 57 roles); AI Engineering Manager ($268,700 median, 42 roles); Research Engineer ($260,000 median, 442 roles).

AI hiring keeps growing across industries. Companies in tech, finance, healthcare, and retail are all building AI teams. The strongest demand is for people who can bridge the gap between AI research and production engineering. The shift toward generative AI has created new role types (LLM Engineer, Prompt Engineer, AI Agent Developer) that didn't exist three years ago, while traditional roles (Data Scientist, ML Engineer) have evolved to incorporate LLM capabilities.

The AI Job Market Today

The AI job market spans 1,809 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (1,274), Data Scientist (145), AI Software Engineer (132). 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 (34) are outnumbered by mid-level (797) and senior (728) 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 250 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 16% of all AI roles (294 positions), with 1,505 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 $200,700. Top-quartile roles start at $254,000, and the 90th percentile reaches $307,500. 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 $274,200 median, while Prompt Engineer roles sit at $140,000. 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 (877 postings), Aws (592 postings), Azure (458 postings), Rag (380 postings), Gcp (364 postings), Pytorch (277 postings), Prompt Engineering (266 postings), Claude (250 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

Based on 57 roles with disclosed compensation, the median salary for AI Safety positions is $274,200. Actual compensation varies by seniority, location, and company stage.
Python and cloud platform experience are common requirements. Specific skill needs vary by company and focus area, but familiarity with ML frameworks, data pipelines, and API design covers the basics for most roles. RAG (Retrieval-Augmented Generation), vector databases, and LLM API integration are increasingly standard requirements across role types.
About 16% of the 1,809 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
Thomson Reuters is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from AI Safety positions include Senior Engineer, AI Architect, Engineering Manager, Principal Engineer. Progression depends on whether you lean toward technical depth, people management, or product strategy.

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