9 Ai Governance Jobs

Key Deliverables: Lead AI innovation and develop scalable ML features across strategic projects Define and implement AI governance, ensuring compliance with ethical and legal standards Guide and manage a high-performing team of data scientists through mentoring and leadership Collaborate with engineering and legal to integrate AI solutions at scale Role Responsibilities: Frame and scope complex data science problems with multiple business stakeholders Promote responsible AI and ensure risk assessments and mitigation strategies are in place Set strategic direction for data science initiatives and influence architectural decisions Represent Tesco in external data science communities and academic collaborations

Role & responsibilities Perform AI model training activities such as generating/loading large datasets, document samples, process documentation, and prompts to support rapid and complete development of high impact models. Execute daily monitoring of AI and process performance. Identify, troubleshoot, and resolve issues with AI-based process performance in collaboration with users and various stakeholders Identify and drive implementation of improvements in process, AI prompts, and model accuracy and completeness in conjunction with Ecolab Digital AI team. Support objectives to ensure AI performance meets business value objectives. Ensure compliance with established responsible AI policies. Maintain documentation on AI processes. Monitoring the performance of business processes, such as cash applications, order processes, and billing. Identifying issues and resolving them in collaboration with development teams. Providing training data sets for AI models. Interacting with users to understand and solve performance issues in automated processes. Analyzing data and metrics to detect anomalies and optimize processes. Preferred candidate profile Minimum Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Masters degree preferred Process domain expertise Experience with AI/ML operations and monitoring tools. Strong problem-solving and analytical skills. Knowledge of AI governance and ethical guidelines. Excellent communication and collaboration skills. Knowledge of machine learning frameworks and libraries Preferred Qualifications: Deep understanding of business processes and how they operate. Technical aptitude to understand systems and processes, including AI solutions. Experience with SAP and ServiceNow is ideal. Competence in data analysis and the ability to interact with large volumes of data. Focus on business analysis and problem-solving rather than software development. Ability to interact with users and provide support in optimizing processes.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

We are seeking a motivated Manager of AI Enablement to join our Data and Analytics organization. In this role, you will promote a culture of Responsible AI across the enterprise, ensuring governance and ethical data management in all business units. You will lead AI risk management, collaborate with cross-functional teams, and integrate governance into the AI lifecycle. Your strategic thinking will enhance efficiency and optimize workflows, while your leadership will explore new AI technologies and manage proof of concepts to keep the organization competitive. Responsibilities include monitoring AI models for responsible use, equipping teams with best practices, empowering staff, and ensuring the right talent is onboarded for AI initiatives. You will coordinate with our Data and Model Stewards Network to implement and monitor Model Policies and Ethics Frameworks across key domains. This role also involves working on AI ethics research projects and using AI to enhance the organization's efficiency and optimize workflow. This role is crucial in upholding regulatory standards and mitigating AI-related risks, contributing to the future of AI governance and enablement. About the Role In this opportunity as Manager, AI Enablement , you will: As the Manager of AI Enablement, you will play a critical role in our AI Enablement team within the Data and Analytics organization. This position is vital in embedding responsible AI practices across all business units, ensuring that our AI initiatives are innovative, ethically sound, and compliant with governance standards. You will collaborate with cross-functional teams to drive AI risk management and help the organization stay ahead of market trends through strategic AI implementations. Champion the development of a culture that values Responsible AI and data across the enterprise. Oversee AI risk management processes and collaborate closely with cross-functional teams. Think creatively about using AI to increase organizational efficiency and optimize workflow. Explore new AI technologies and work with vendors or partners on proof of concepts and implementations. Monitor AI models for responsible considerations and equip business functions with responsible AI development and deployment practices. Coordinate and collaborate with our distributed Data and Model Stewards Network. Define, implement, and monitor Model Policies, Standards, and Ethics Framework across critical business domains. About You You're a fit for the role of Manager of AI Enablement if your background includes: Experience in AI governance, risk management, and validation. Strong understanding of ethical considerations in AI and data management. Proven leadership skills with experience in managing cross-functional teams. Excellent communication and collaboration skills. Ability to think strategically and drive innovation within an organization. Experience in implementing AI technologies and managing proof of concepts. Experience working with vendors and partners in AI technology implementations. Familiarity with regulatory standards related to AI and data governance. Advanced degree in a relevant field such as Computer Science, Data Science, or AI. Join us and be a part of a team that is shaping the future of AI governance and enablement!

Product Owner, Product Manager, AI/ML technologies & understanding of data pipelines. Agile/Scrum. stakeholder management & communication skills.AI governance, ethical AI considerations & regulatory compliance. UX/UI.

Role & responsibilities • Provide expert consultancy and guidance for AI and cyber security, with a focus on implementing robust security measures. • Advise on the deployment of security guardrails for Generative AI applications. • Advise on AI ethics and ensure compliance with industry standards. • Conduct risk assessments and provide recommendations on improving security posture. • Collaborate with cross-functional teams to integrate AI security solutions. • Deliver training sessions on AI security best practices and tools. • Assist in the development of security policies and procedures. • Stay updated with the latest trends and advancements in AI and cyber security. Preferred candidate profile • Minimum 3 years of experience in AI consultancy or 5-10 years in DEVSECOPS. • Proven track record in cyber consultancy. • AIGP or similar certification. • Cloud security certifications are mandatory. • Certified AI security engineer or proven experience in AI security. • Strong understanding of AI ethics. • Experience in deploying security measures for Generative AI. • Relevant technical and non-technical certifications/memberships in cyber security. • Experience in AI within financial services, particularly corporate banking. • Excellent communication and teamwork skills. • Trainer skillsets.

Roles and Responsibilities: Architecture & Infrastructure Design Architect scalable, resilient, and secure AI/ML infrastructure on AWS using services like EC2, SageMaker, Bedrock, VPC, RDS, DynamoDB, CloudWatch . Develop Infrastructure as Code (IaC) using Terraform , and automate deployments with CI/CD pipelines . Optimize cost and performance of cloud resources used for AI workloads. AI Project Leadership Translate business objectives into actionable AI strategies and solutions. Oversee the entire AI lifecycle from data ingestion, model training, and evaluation to deployment and monitoring. Drive roadmap planning, delivery timelines, and project success metrics. Model Development & Deployment Lead selection and development of AI/ML models, particularly for NLP, GenAI, and AIOps use cases . Implement frameworks for bias detection, explainability , and responsible AI . Enhance model performance through tuning and efficient resource utilization. Security & Compliance Ensure data privacy, security best practices, and compliance with IAM policies, encryption standards , and regulatory frameworks. Perform regular audits and vulnerability assessments to ensure system integrity. Team Leadership & Collaboration Lead and mentor a team of cloud engineers, ML practitioners, software developers, and data analysts. Promote cross-functional collaboration with business and technical stakeholders. Conduct technical reviews and ensure delivery of production-grade solutions. Monitoring & Maintenance Establish robust model monitoring , alerting , and feedback loops to detect drift and maintain model reliability. Ensure ongoing optimization of infrastructure and ML pipelines. Must-Have Skills: 10+ years of experience in IT with 4+ years in AI/ML leadership roles. Strong hands-on experience in AWS services : EC2, SageMaker, Bedrock, RDS, VPC, DynamoDB, CloudWatch. Expertise in Python for ML development and automation. Solid understanding of Terraform, Docker, Git , and CI/CD pipelines . Proven track record in delivering AI/ML projects into production environments . Deep understanding of MLOps, model versioning, monitoring , and retraining pipelines . Experience in implementing Responsible AI practices – including fairness, explainability, and bias mitigation. Knowledge of cloud security best practices and IAM role configuration. Excellent leadership, communication, and stakeholder management skills. Good-to-Have Skills: AWS Certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect. Familiarity with data privacy laws and frameworks (GDPR, HIPAA). Experience with AI governance and ethical AI frameworks. Expertise in cost optimization and performance tuning for AI on the cloud. Exposure to LangChain , LLMs , Kubeflow , or GCP-based AI services .