Total 2 job vacancies by Td International Services Ltd.

Manage Third Party Business Arrangements through all stages of the Third Party Management Lifecycle (TPML), in alignment with relevant frameworks, policies and standards. Vendor Managers are expected to understand and maintain knowledge of Business Arrangement terms (including key Third Party and business segment or corporate function (TD) deliverables). Vendor Managers are also responsible for monitoring, analyzing and reporting on performance of Business Arrangements and identifying and escalating issues where identified in order to mitigate risk. On more strategic, critical and/or complex relationships across multiple business segments or corporate functions, role may also act as the Lead Vendor Manager supporting the Accountable Executive that owns TD's relationship with the Third Party.

This position is part of a newly formed Singapore Vendor Management team.

CUSTOMER

• Own the management of Third-Party Business Arrangements through all stages of the TPML, in alignment with relevant Third-Party frameworks, policies and standards
• Initiate intake via a Sourcing Request and follow the Third-Party Risk Assessment process
• Set up and onboard Third Parties post contract execution including the implementation of the governance structure and interaction models between key TD and Third Party stakeholders
• Understand the financial terms of a Business Arrangement and monitor a Third Party's financial health to mitigate risk related to costs and services
• Collaborate with internal stakeholders to support business needs by delivering a transition or termination of a Third Party
• Support Lead Vendor Managers in consolidating an enterprise view of the relationship with the Third
• Party in support of the Accountable Executive
• Maintain strong relationships with internal stakeholders
• Ensure integrity in dealing with Third Parties, complying with TD's Expense Policy, Enterprise Procurement Policy, Vendor Management Policy and Code of Conduct and Ethics
• Focus on continuous improvements to facilitate entering into Third Party Business
• Arrangements and promote effective delivery

SHAREHOLDER

• Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate
• Manage Third Party Business Arrangements through all stages of the TPML, in alignment with relevant frameworks, policies and standards
• Monitor, analyze and report a Third Party's performance through delivery against SLAs, SLOs, KPIs or other contractual commitments
• Identify issues and monitor trends with a Third Party in a responsive manner, to reduce risk in alignment with Third Party Risk Management (TPRM) Policies and related Standards
• Document Third Party risk issues, as per the TPRM Issues Management process and standards, escalate issues as appropriate, and partner with Third Party to develop a remediation plan to drive resolution
• Participate in cross-functional initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations
• Conduct internal and external research projects; support the development/delivery of presentations / communications to management or broader audience
• Conduct meaningful analysis at the functional level using results to draw conclusions, make recommendations, assess the effectiveness of programs or practices
• Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exists
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite

EMPLOYEE / TEAM

• Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
• Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit
• Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques
• Participate in personal performance management and development activities, including cross training within own team
• Keep others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities
• Contribute to team development of skills and capabilities through mentorship of others by sharing knowledge and experiences and leveraging best practices
• Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships
• Contribute to a fair, positive and equitable environment that supports a divere workforce
• Act as a brand ambassador for your business area/function and the bank, both internally and/or externally

BREADTH & DEPTH

• Expert level professional role requiring substantial knowledge / expertise in a complex field and knowledge of broader related areas
• Integrates knowledge of the enterprise sub-function’s or business line’s overarching strategy in developing solutions across multiple functions or operations
• Interprets internal/external business challenges and the industry environment, recommends course of action and best practices to improve products, processes or services
• Acts as a lead integrating cross-function understanding within their own field of specialty; with significant resource requirements, risk and / or complexity
• Independently manages business arrangements
• Solves or may lead others to solve complex problems; leads efforts or partners with others to develop new solutions
• Uses sophisticated analytical thought to exercise judgement and identify solutions
• Impacts the achievement of sub-function or business line objectives within the area they are accountable for
• Supports advanced methods to contribute to new solutions and recommend standards against which others will operate
• Communicates difficult concepts; converts information to compelling business context and advice; influences and gains alignment across increasingly senior stakeholders
• Works autonomously as the lead and guides others within area of expertise

Job Requirements

• Undergraduate degree with minimum 7+ years of related experience
• Advanced knowledge of Vendor Management, Business Arrangements, Third-Party
• Management Lifecycle framework/principles, systems, products/services, product research, assessment & reporting, competitive intelligence, negotiation tactics and/or regulatory requirements
• Knowledge of current and emerging competitor and market trends
• Knowledge of Risk Management environment, standards and regulations
• Knowledge of budgetary management principles/practices/procedures
• Skill in identifying complex problems and reviewing related information to develop/evaluate options and implement solutions and/or governance procedures
• Skill in supporting the development and implementation of change strategies and/or processes
• Ability to negotiate, influence, collaborate and effectively communicate to build relationships
• Ability to contribute to strategic direction of the function and provide advice to senior leadership
• Ability to monitor, analyze, report and assess adherence, performance and risk of information, contractual terms and/or delivery of services
• Skill in researching, collecting, organizing and analyzing complex or technical data and developing plans to address identified issues/problems
• Ability to lead, plan, implement and evaluate program/project activities to ensure completion of initiatives
• Ability to exercise sound judgement in making decisions
• Ability to research, collect, organize and analyze information and prioritize work while meeting multiple deadlines
• Skill in using analytical software tools, data analysis methods and reporting techniques
• Skill in using computer applications including MS Office
• Ability to work successfully as a member of a team and independently
• Ability to handle confidential information with discretion

Job Description Summary
As part of the AI Platform, within Data as a Service (DaaS), our passion is to advance AI capabilities and deliver AI-powered solutions to optimize processes, maximize productivity and increase value for our customers and colleagues. We are seeking a highly skilled and experienced Senior AI/ML Cloud Engineer to join our team and drive the delivery of cutting-edge enterprise capabilities and solutions on the Azure AI Platform. In this role, you will be at the forefront of designing, implementing, and maintaining cloud-based infrastructure specifically tailored to support our ambitious AI initiatives. This position also calls for individuals with strong leading capability to mentor team members and contribute toward the vision and strategy for Generative AI.

Key Responsibilities:

• Infrastructure Design and Implementation: Design and deploy scalable, reliable, and efficient cloud-based solutions that meet the complex requirements of our AI projects. This involves selecting appropriate Azure services, configuring resources, and optimizing performance to ensure seamless integration with our AI models and applications.
• AI Application Development and Operation: Integrate AI models into production environments using Azure AI Platform tools such as Azure ML, Azure AI Studio, Open AI, Vector Databases, and Databricks. Manage model inventory and artifacts life cycles, ensuring proper documentation, version control, and compliance with industry standards.
• Cloud Services Management: Implement and manage cloud-based services and infrastructure, including compute, storage, access, and networking. Oversee disaster recovery and backup solutions to ensure data integrity and availability.
• Automation and Orchestration: Build automation and orchestration to streamline processes and reduce manual intervention for AI applications. Utilize tools like Terraform, Ansible, or Kubernetes to automate deployment and management processes.
• API Management: Develop and manage APIs for online endpoints for model inferencing, leveraging cloud services to automatically manage infrastructure, scaling, and availability, ensuring efficient and cost-effective model inferencing.
• Collaboration: Partner with engineers to design scalable and resilient platforms that leverage the full potential of cloud services. Cooperate with architects, data scientists, platform engineers, AI security teams, and other key stakeholders to ensure alignment and success in our AI endeavors.
• Security and Compliance: Ensure the security and compliance of cloud-based AI solutions. Collaborate with AI security groups to implement necessary controls and safeguards to protect sensitive data and intellectual property.
• Performance Monitoring and Optimization: Proactively monitor and optimize the performance of AI workloads and cloud resources. Analyze resource utilization, identify cost-saving opportunities, and implement strategies like rightsizing instances, utilizing spot instances, and leveraging auto-scaling capabilities.
• Troubleshooting: Identify and resolve issues related to cloud infrastructure and AI applications, ensuring minimal downtime and optimal performance. Conduct root cause analysis, implement corrective actions, and develop preventive measures to avoid future problems.
• Continuous Improvement: Stay up to date with the latest trends and advancements in cloud computing and AI technologies. Take ownership and share the vision of creative patterns, frameworks and tools that enhance our AI and ML capabilities.
• Technical Guidance and Mentorship: Provide technical expertise and mentorship to team members. Share knowledge and best practices with the team to foster a culture of continuous learning and improvement. Lead project teams and contribute to strategic decision-making processes.

Qualifications:

• Educational Background: Master's degree in Computer Science, Engineering, or a related field. A Ph.D. in ML/AI or analytical sciences is a plus.
• Coding Languages: Proficiency in Python with various coding paradigms; competence in SQL and query optimisation. Familiarity with web stacks such as JavaScript, HTML and CSS is a plus.
• Machine Learning and AI: Deep knowledge in traditional machine learning from statistics to model building and fine tuning; hands on experience in the latest Generative AI modelling, RAG, prompt engineering.
• Big Data Technologies: Experience with big data technologies such as Hadoop, Spark, and other relevant frameworks.
• Data Engineering and ETL Processes: Knowledge of data engineering and ETL processes.
• Cloud Technology: Extensive experience with Azure Cloud Services, including tools like Azure ML, Azure AI Studio, Open AI, Vector Databases, Databricks, Databases, Azure Function, Azure App Services
• Containerization and Orchestration: Significant experience with containerization (Docker) and orchestration tools (Kubernetes).
• Infrastructure as Code (IaC): Expertise with IaC tools like Terraform, Ansible, etc.
• MLOps Practices: In-depth knowledge of CI/CD pipelines and DevOps practices, particularly GitHub Actions.
• Problem-Solving and Collaboration: Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to collaborate effectively with cross-functional teams.
• Leadership Skills: Proven leadership experience, with the ability to guide strategic decisions and manage teams effectively.
• Cloud Certifications: Certification in cloud platforms.
• Industry Experience: 10+ years of relevant industry experiences in a similar role within the AI or tech industry.

If you are passionate about leveraging cloud technology to advance AI capabilities and enjoy working in a dynamic, collaborative environment, we would love to hear from you. Join us in our mission to harness the power of AI to drive innovation and business success.