Model Steward

Key Skills

3D data processing, Aartificial intelligence, Analytical and Problem solving, AWS, Azure, Data Analytics, Data Engineering, Data Modeling, Data science techniques, DevOps, Google Cloud Platform (GCP), Machine learning techniques, Python Programming, PyTorch, R Programming, Scikit-learn, TensorFlow

Job Description

You will play a key role in shaping and translating our Model Governance and Ethics framework into effective controls and scalable implementation practices for the portfolio of AI/ML models you are assigned to.

About the Role

Your responsibilities will include:

• Model Lifecycle Management: Oversee and document the end-to-end lifecycle of models, from development to deployment and decommission, ensuring compliance with external expectations and internal policies and standards. You will track compliance progress for your portfolio and report it to the Data and Model Governance team.
• Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to integrate model governance controls into the model development and deployment processes.
• Risk Assessment: Evaluate risks associated with AI use cases, considering factors such as reliability, use of third-party models, performance degradation, bias, fairness, and interpretability. Develop and implement strategies to mitigate identified risks.
• Documentation and Registration: Create and maintain comprehensive documentation for AI use cases, including preprocessing steps, training techniques and model architecture. Promote transparency in model development and decision-making processes, ensuring high data quality of all governance-related artifacts.
• Monitoring and Performance Evaluation: Establish monitoring protocols to track the performance of deployed models in real-world scenarios. Configure (semi-)automated systems to detect drifts and other performance issues.
• Education and Training: Prepare training and upskilling opportunities on best practices for model governance. Stay current on industry trends and advancements in model governance and ethics, and share knowledge within the organization via the Data and Model Stewardship Network.

About You

You’re a fit for the role of Senior Model Steward if you meet all or most of these criteria:

• Education: BSc/ MSc or equivalent experience in a relevant technical field (e.g., Data Science, Statistics, Computer Science, etc.).
• 2+ years of experience in strong programming skills (Python, R, etc.), experience with data science libraries (TensorFlow, PyTorch, sci-kit-learn) and cloud technologies (AWS, Azure, GCP).
• Excellent communication and stakeholder management skills.
• Experience and proven track record applying collaborative problem-solving, negotiation, and change management skills.
• 4+ years of proven experience in model governance, and risk management with expertise in one of the following specializations:
• Research Specialist: Proven experience in researching and implementing model governance strategies, especially for Large Language Models (LLMs).
• Engineer: Background in DevOps engineering, with a focus on AI model deployment.
• Analyst / Data Engineer: Expertise in data engineering, analytics, and data processing, with a focus on ensuring high-quality input data for models.

What's in it For You?

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

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

Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.

Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet 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.