Job Description 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 ****, Glass Lewis is headquartered in San Francisco, California with additional offices in Kansas City, Missouri; London, U.K.; Paris, France; Limerick, Ireland; Karlsruhe, Germany; Stockholm, Sweden; Manila, Philippines; Toronto, Canada; Sydney, Australia; Timi?oara, Romania; and Tokyo, Japan.
Our team includes more than 400 full-time employees globally, over half of which are dedicated to research.
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The Project Manager, Business Transformation maintain a clear RAID log consistent with Enterprise PMO standards.
Collaborate with the Tech PMO to ensure technology risks, environment readiness, data dependencies, and integration timelines are incorporated into overall plans.
Support budget visibility by tracking business-side resource needs, forecasting operational effort, and highlighting variances to Finance and project sponsors.
Escalate high-impact risks, timeline deviations, or decision requirements to the PMO Director and project leadership.
Ensure business-side mitigation plans are aligned with global stakeholders across Operations, Research, Product Operations, Client Services, and Compliance teams.
3. Business Readiness and Operational Adoption Conduct business readiness assessments to ensure global teams, processes, and regions can absorb upcoming changes.
Define and coordinate operational transition plans, training requirements, SOP updates, and support models.
Validate that regional teams—especially during peak periods (e.g., proxy season)—have the capacity to participate in requirements, testing, and deployment.
Ensure operational KPIs, workflow impacts, and downstream dependencies are understood, documented, and managed.
Support rollout sequencing across global regions based on operational and seasonal capacity constraints.
4. Internal Systems and Operational Technology Implementation Lead business-side planning and readiness for internal system implementations, migrations, decommissioning efforts, and operational technology changes.
Translate business needs into structured requirements, user journeys, acceptance criteria, and process adjustments.
Coordinate closely with the Tech PMO and engineering teams to align business workflows with technical sequencing, environment setup, QA cycles, and deployment timelines.
Drive business-side UAT planning, tester coordination, scenario development, issue triage, and sign-off for go-live.
Support change management efforts including: communications, training coordination, readiness assessments, and post-release stabilization.
Ensure deployments comply with data governance, security, privacy, compliance, and operational standards by collaborating with Compliance, Security, IT, and business SMEs.
Lead business-side transition-to-BAU, including operational handoffs, SOP completion, readiness sign-off, and benefits realization tracking.
5. Data and Integration Readiness Coordinate business-side data preparation activities: data mapping, cleanup, validation, and migration readiness.
Identify and escalate upstream/downstream data dependencies affecting research workflows, automation, reporting, or publication cycles.
Ensure data quality requirements, validation steps, and sign-offs are reflected in UAT, cutover planning, and operational acceptance.
Track data-related risks (translation, localization, volume constraints, late-arriving data, API variability) and integrate them into business planning and deployment readiness.
6. Stakeholder