As a Technical Portfolio Lead my duties include:Goals and Vision- Stakeholder Engagement: Maintain strong communication and relationships with stakeholders.- Strategic Planning: Define and align program objectives with organizational goals.Knowledge- Literature Review: Review existing literature to inform research design and understand current knowledge.- Stay Informed: Keep up-to-date with the latest advancements in AI, machine learning, and assurance methodologies by reading research papers, attending conferences, and participating in relevant workshops.Working with others- Team Leadership: Inspire, guide, and support cross-functional teams.- Collaboration: Work with other researchers, institutions, and stakeholders to achieve research objectives.- Mentorship: Guide and support junior researchers, interns, and students in their research activities.Interdisciplinary Collaboration: Work with experts from various fields, including ethics, law, and domain-specific experts, to ensure comprehensive evaluation and assurance of AI systems.Research- Conduct Research: Design and execute research projects, experiments, and studies.- Data Collection and Analysis: Gather, process, and analyze data to derive meaningful insights.Technical Writing- Report Writing: Prepare detailed reports, papers, and presentations to communicate research findings.AI Assurance Research Topics include:- Data quality and operational realism- Robust test design- Performance metrics- Model generalization- User feedback- Continuous monitoring in operational contextPortfolio Management- Resource Allocation: Ensure optimal use of personnel, budget, and materials.- Performance Monitoring: Track progress and ensure alignment with key performance indicators (KPIs).- Risk Management: Identify, evaluate, and mitigate potential risks.- Quality Assurance: Uphold high standards for program outcomes and deliverables.Documentation- Reporting and Communication: Provide regular updates and reports to senior management and stakeholders on portfolio performance and progress.- Dissemination: Present research findings at conferences, seminars, and workshops.- Documentation and Reporting: Maintain thorough documentation of research processes, findings, and assurance activities, and provide clear reports to stakeholders and regulatory bodies.Continuous Learning and Improvement- Continuous Improvement: Foster a culture of innovation and ongoing improvement.- Continuous Learning: Stay updated with advancements in the field and continually improve research skills and knowledge.
Listed skills include Latex, Data Analysis, Statistics, Idl, and 37 others.
