Vice President, Responsible AI

Thomson Reuters•Frisco, NY

6h•Hybrid

About The Position

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.

Requirements

Robust AI leadership experience.
Hands-on experience of developing new solutions and leveraging new technologies for managing enterprise AI at scale.
Demonstrated knowledge of data & AI structure, systems/tools, software, and management policies and practices.
Proven leader who has built and managed high performing teams.
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.
Experience operating in a complex global organizational environment.
Extensive experience leading transformational change programs.
Track record of delivering improved AI management, platforms, governance, and security to the organization.
Effective and credible leader, with the ability to influence and get things done through others.
Ability to communicate a vision and bring people along on a journey.
Strong stakeholder management skills, and will be able to engage effectively with global business functions to drive business results.
Experience driving large-scale change across a complex and 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
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.
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.
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.
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.
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.

Nice To Haves

Experience transforming and modernizing legacy systems.

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.

Benefits

Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Hybrid Work Model
Flex My Way
Work from anywhere for up to 8 weeks per year
Grow My Way programming
Skills-first approach
Comprehensive benefit plans
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more.
Two paid volunteer days off annually
Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Market competitive health, dental, vision, disability, and life insurance programs
Competitive 401k plan with company match
Competitive vacation, sick and safe paid time off
Paid holidays (including two company mental health days off)
Parental leave
Sabbatical leave
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
Access to Employee Stock Purchase Plan