Tyson Burris Email & Phone Number

Kirkland, Wa, Us

San Jose, California, Us

Bellevue, Wa, Us

Redmond, Washington, Us

• Lead a team of six yield managers and data scientist and eight onshore/offshore vendors to manage marketplace and ensure optimization within a $1B annual native, display, and video advertising business.• Use Python/R through Facebook Prophet Model and multiple TBATs modeling to evaluate performance and make strategic pricing changes.• Monitor metrics, including revenue, impressions, RPM, unique users, sell-through rates, bidder/demand spend, country-level performance, user frequency, bid density, and CTR.• Collaborate with publisher, engineering teams, finance, and monetization teams to perform A/B testing, run simulation models, and define optimal supply, demand, and user engagement parameters to increase yield.• Implemented financial modeling and automation within PBI to improve quarterly forecast/budget goals and daily pacing shared with leadership, reducing MAPE from 10-12% to 4-5%.

Redmond, Washington, Us

• Oversaw a five-member team and drove targeting of video ad product offerings across all Microsoft advertising Properties (MSN.com, Outlook.com, and Xbox) worth $100M+ in annual revenue. • Used metrics such as ID match rates, conversion rates, age of cookie/Id, revenue, CTR, RPM, playback time, sounds on, % of watch, and comScore targeting to evaluate performance and iterate targeting strategy.• Implemented new ID mapping work, improving overall match rate of first party targeting products by 15bps. • Led data science team to run experiments, simulations, and auction analytics to monitor impact of floor price changes based on targeting segments within display advertising.• Reviewed impressions and associated metadata to understand bid actions and behaviors based on target users.

Redmond, Washington, Us

• Managed global data and targeting strategy for display advertising business across all of Microsoft’s assets, including MSN, Outlook.com, Skype, Xbox, Ads in Apps to maximize rate per million impressions in 30+ countries.• Created targeting task force to prioritize and implement key engineering initiatives during Microsoft to AOL & AppNexus’ transition to help drive efficiencies and expedited release to market.• Owned monetization and data strategy roadmap for audience targeting products with a $180M+ annual budget to inform engineering development, partner enablement, and go-to-market communication.• Delivered monthly and quarterly rhythm of business updates to leadership team, including match rates, RPM, CTRs, and revenues. • Led a 15-member data deals product marketplace team to develop ad product roadmap, marketplace policies, and pricing framework for pilot program via AppNexus Programmatic Exchange, generating $15M in yearly revenue.• Led a team of engineers to develop a global ‘Targetable Impression’ dashboard to increase targeting products’ STR by 8%.• Partnered with finance and sales to author three-year long-range planning, $1B annual budgets, and quarterly forecasts.

Redmond, Washington, Us

• Drove pricing, policy strategy, new product launches, and platform enhancements, accounting for $170M global revenue.• Managed global monetization strategy for direct-response (CPM, CPC & CPA) ad solutions across all Microsoft assets to maximize yield on performance display advertisement products within 30+ markets.• Owned roadmap, customer insights, market sizing, engineering influencing/prioritization, and partner management to gain alignment.• Monitored CPC (pay for clicks), CPA (pay for acquisition), and re-messaging.• Developed pricing model, financial projections, and platform requests for new product lines.

Redmond, Washington, Us

• Produced US display advertising pricing optimization and implementation of monthly ratecards for Microsoft assets (MSN, Hotmail, Xbox) for all ad offerings.• Developed and implemented new dynamic ratecard of US MSN homepage that drove a 12% YoY increase in revenue.

New York, Ny, Us

• Led a five-member team to drive residential mortgage pricing strategy and profitability of direct lending channel that accounts for approximately $20B in funded loan volume a year. • Used Bloomberg terminals to access Fannie and Freddie Bond Rates to set interest rates for conventional mortgages and partner with traders to set rates for Jumbo and Arm loans. • Monitored Bond Market change and implemented intra-day price change based on market fluctuations.• Conducted market analysis and competitive pricing to drive more loan locks and implement a sales manager profit/loss profitability model, contributing to revenue increase of 38%.• Rolled out ‘Brand Promise’, which helped increase volume by 24% over previous year.• Increased average loan size by 26% over previous year.

New York, Ny, Us

• Managed a five-member group that calculated and distributed national mortgage pricing, credit adjustments, and profitability for home loans division with approximately $150B in funded loan volume. • Acted as capital markets lead manager for build of WamuBroker.com’s pricing engine, which increased wholesale’s channel online locks by 20% due to its pricing accuracy.

New York, Ny, Us