Advised clients on board governance, executive compensation matters, proxy advisor policies, investor engagement strategies, equity plan modeling,, and proxy disclosure.

Consulted to public companies on corporate governance, executive compensation, ESG and investor outreach.Area of focus include:– Interpreting proxy advisory firm and institutional investor guidelines and implications– Topic-specific governance and ESG audits, including diversity and inclusion practices, shareholder rights and other environmental and social issues– Providing strategic direction for shareholder outreach and engagement campaigns– Providing extensive “say-on-pay” consulting, including CD&A reviewing and drafting, data visualization assistance, and pay-for-performance modeling– Modeling equity compensation and share authorization, including governance concerns, burn rate and dilution considerations

• Managed team of 50+ permanent research analysts and 100+ seasonal analysts• Ensured timely delivery of high quality, detailed analysis for approximately 20,000 advisory reports annually, covering public companies in more than 80 countries • Built and maintained relationships with clients and prospective clients through presentations, conference calls, and on-site visits • Communicated regularly with public issuers to discuss Glass Lewis policy and analytic approach as well as to respond in a timely manner to any issuer concerns • Collaborated with client service, product development, marketing and sales teams to enhance quality and breadth of product offerings and address client needs • Spoke frequently at governance and compensation conferences and legal continuing education seminars • Authored or served as managing editor for white papers on topics such as executive compensation trends, pay and performance, and linking sustainability to compensation • Contributed original content to and edited the Glass Lewis blog • Analysis and opinions were quoted by the Wall Street Journal, New York Times, Bloomberg and other publications

• Managed all global compensation analysis across 30 countries • Created Glass Lewis’ say-on-pay policy and analytic approach • Developed first say-on-pay model for the company to streamline the work process, improve efficiency, and ensure consistency across analysts • Represented the company on client and prospective client visits and calls • Frequently spoke at and represented Glass Lewis at governance and compensation conferences and roundtables

Managed the Global Executive Remuneration Research and Insights team at Mercer. In this role, David drove the global ER research agenda and provided insights and trend analysis on a global basis. While primarily focusing on Top 5 executive compensation and board of director pay, David's research has covered short-term incentives, stock option and full-value awards use, long-term incentive plan design, run rate and dilution analysis, the link between pay and performance, non-executive chairman pay, and executive turnover.

Managed common law (U.K., Canada, Australia, etc.) research team of 8 analysts covering over 2,100 equitiesCollaborated with quantitative research, client services and sales teams on client requestsAuthored firm’s policy manuals and voting guidelines for all common law countriesSupervised the successful integration of an Australian proxy firm acquisitionAnalyzed and published voting recommendations on shareholder proxy issues, including directors, executive compensation and shareholder rightsPresented research to CalPERS and other large institutional clientsRepresented the firm at international and domestic governance conferences and roundtables

Conducted corporate governance analysis and research on domestic and U.K. companies for institutional investors and advisorsExamined board accountability, executive compensation and corporate behavior issues

Responsible for econometric forecasting and modeling in US and international sectorsPresented forecasts and analysis to senior management of current and prospective clientsTrained new hires in economic and financial modeling