Glass Lewis is a trusted ally to more than 1,300 investors globally who use our corporate governance research, custom policy recommendations, engagement services and tools, and industry-leading proxy vote management solution to help drive value across their governance activities. We also work with over 3,000 corporate issuer clients, providing research reports, thought leadership, customized voting policies, equity plan models, and opportunities for direct engagement on material governance and disclosure practices.
Glass Lewis’ industry-leading research and analysis covers more than 30,000 meetings each year across approximately 100 global markets. Our clients include many of the world’s leading pension funds, mutual funds, and asset managers, collectively managing over $40 trillion in assets. We have teams located across the United States, Europe, and Asia-Pacific regions, giving us global reach with a local perspective on the most important governance issues. Founded in 2003, Glass Lewis is headquartered in San Francisco, California with additional offices in Kansas City, Missouri; London, U.K.; Paris, France; Amsterdam, Netherlands; Limerick, Ireland; Karlsruhe, Germany; Stockholm, Sweden; Manila, Philippines; Toronto, Canada; Sydney, Australia; Timișoara, Romania; and Tokyo, Japan. Our team includes more than 600 full-time employees globally, over half of which are dedicated to research. For more information, please visit www.glasslewis.com.

Glass Lewis provides governance, stewardship and research services to institutional investors globally. This role sits within the sustainability products group, a new business line building research and data products on the company’s existing research platform. The team is small, senior and building from the ground up, with direct influence over methodology, product design and how the function is staffed and run.

This Director owns that capability. During the build, the role designs the incidents monitoring process: triage criteria, escalation thresholds, source strategy, and calibration of the pipeline’s recall and precision balance alongside the engineering team. Post-launch, the role runs the incidents function day to day and manages an AI-supported team of incidents analysts as volume and coverage grow.
The role sits at the boundary between research and engineering. The incidents engine determines what the product sees. Misses are the most damaging failure mode in norms-based screening, and this role is accountable for keeping them rare and explainable.

This role is permanent and hybrid, based out of our Timișoara office, with regular in-person attendance three days a week.

• Experience running an incidents or controversies monitoring function at scale in an established screening or ESG research operation.
• Enough command of international norms frameworks, including the OECD Guidelines and the UNGPs, to set triage criteria the research team can rely on.
• A process and operations mindset. This role is measured on the reliability of a daily function, not on individual assessments.
• Experience working with engineering teams on automated or AI-assisted screening, and the ability to translate research requirements into system behaviour.
• Vendor evaluation and management experience for news and data sources.
• People management experience, or the readiness to build and lead a junior team.

• Design and own the news and incidents monitoring engine: source coverage, screening, triage and escalation into the assessment process.
• Lead the incidents pipeline build with the engineering team. Define triage criteria, calibrate recall and precision against the reference case set, and iterate screening guidance with knowledge engineering.
• Set the source strategy: evaluate and select news and data providers, map coverage gaps by language, region and sector, and manage vendor relationships.
• Run the daily incidents process from launch: review escalated incidents, catch and diagnose misses, handle edge cases.
• Own the handoff from incident identification to in-depth assessment, including the criteria for when an incident triggers a review.
• Manage the AI-supported incidents team. Define the division of labour between automated screening and analyst review, and hire and develop junior incidents analysts as the function scales.
• Run pipeline quality assurance, including precision and recall monitoring, miss analysis and periodic adversarial testing.
• Maintain and evolve triage guidance as the precedent base grows and new issue areas come into coverage.
• Lead the retrospective backfill run that establishes the product’s initial assessed universe, working with the research team.
• Report on operational metrics: volumes, escalation rates, miss rates and cycle times.