Achievements:• Led a 5-person cross-functional team to implement the first experimental design with AI/ML experimental capabilities at Pocket, a B2C social bookmarking product for storing, sharing and discovering web bookmarks.• $3M revenue growth by expanding Pocket Recommended content to international markets.• Managed the Go-to-Market (GTM) strategy for the B2C AI/ML home surface product, impacting 600k monthly active users (MAU), leading to an 8.18.% increase in customer engagement.Responsibilities:• Managed 3 B2C AI/ML products, including a B2C AI/ML content delivery product, a cross-platform B2C AI/ML home surface product, and a B2C AI/ML international expansion product.• Led Product Roadmap, design, and MVP of B2C AI/ML platform in order to decrease machine learning model time to production.• Led the Product Roadmap for the B2C AI/ML content delivery product in order to decrease the bounce rate on the Home page.• Prioritized requirements for B2C product user onboarding by completing user interviews (Voice of Customer) to decrease Home bounce rate.• Wrote and prioritized User Stories, requirements, enhancements, and issues for a B2C AI/ML Pocket recommended content based on strategic, product, and business goals.• Set data-driven OKRs and KPIs in order to drive prioritization and roadmap decisions.• Collaborated cross-functionally to deliver B2C AI/ML Pocket-recommended content to new markets via Firefox New Tab (France, Italy, & Spain).

Achievements:• Collaborated with the Product Details Page (PDP) team to increase and improve the recommendations shown on the page, leading to a 30% increase in average order value.• Led a 12-person team to implement in-house recommendations using Google Cloud Platform (GCP) across the entire product catalog, leading to increased recommendation placement by 75%, engagement by 11%, and overall rec revenue by 10%.Responsibilities:• Led the Product Roadmap for a B2C AI/ML personalization product in order to increase average order value (AOV).• Collaborated cross-organization to re-platform the pricing engine MVP and its go-to-market (GTM) rollout across 3500 stores, leading to an estimated 75% reduction in manual pricing and pricing exceptions.• Interviewed 12+ customers and studied e-commerce market trends to understand customer needs and converted them into actionable engineering-focused user stories.• Set data-driven OKRs and KPIs in order to drive prioritization and roadmap decisions.• Organized and led agile ceremonies to prioritize user stories, provide guidance, and drive progress.

Achievements:• Launched the first personalized content within MGM in collaboration with Microsoft which resulted in $500k in net new revenue over a 90-day period.• Launched a Recommendation-as-a-Service Product (RaaS) serving both external and internal customers.Responsibilities:• Wrote user stories, requirements, and prioritized for a B2C AI/ML product in Azure.• Conducted Voice of Customer Interviews and studied hospitality trends to understand customer needs, and converted them to actionable engineering-facing user stories.• Collaborated cross-functionally across 8 lines of business and engineering channel partners to scope, build requirements, develop, and deploy a RaaS Product.

Achievements: • Led a 2-person team to launch a 0 to 1 MVP for restaurant recommendations via email, leading to $50k in net new revenue over 30 days.• Launched the first personalized content within MGM in collaboration with Microsoft which resulted in $500k in net new revenue over a 90-day period.Responsibilities: • Conducted Voice of Customer Interviews and studied hospitality trends to understand customer needs, and converted them to actionable engineering-facing user stories.

- Worked with customers to refine their processes and improve delivery times by up to 20%- Created implementation analytics with Engineering team using PowerBI to track delivery times- Worked with Ellie Mae to build and implement new cloud based software platform for next-gen experience

- Wrote user stories and Implemented ML-powered moderation techniques to manage messages and reduce customer support burden for a marketing agency, reducing support moderation by over 90% through ML image classification and natural language processing (NLP).- Initiated work with Data Science to implement machine learning systems to improve user recommendations and increase user engagement- Initiated work to understand the Google Ad Manager platform to work with Data Science and Digital Marketing to implement site-wide analytics and improve site ad conversion- Initiated Ownership of Messaging and User Engagement of the Seeking site, increasing member engagement by 13%- Worked within the Atlassian ecosystem (JIRA/Confluence) and managed feature backlog and spec creation for Dev, including prioritization

- Developed user interview strategy to improve Digital Asset Management (DAM) product offering- Developed metadata reporting structure to understand user metrics and usage- Owned product from Ideation through initial Growth phase- Increased from 20 base customers to 132 customers in 6 months with no marketing, a 560% increase

Product Related:- Part of core team to establish/test/deploy new Digital Asset Management (DAM) offering via agile product management methodology- Initiated/Completed Market research of asset management competition- Created insights, personas, user stories, and prioritization from interview process to establish an MVP- Launched white label beta product to 20 businesses for testing and feedback- Developed implementation methodology and initial KPI measurements to report to executive management- Revised Digital Asset Management (DAM) process upon feedback and analytics of usageDesign Consultant Related:- Created and tested new ways to deliver implementations using lean/agile methodology improving certain implementation tier delivery times down to 60 days from 4 to 6 months- Process Mapped and streamlined customer processes thru Lean Six Sigma methodologies and worked with the customer to build into the Workfront tool

- Worked with “At Risk” clients to re-engage Executive management and increase Workfront usage- In a year’s time, worked with nearly $5M worth of Annual Run Rate (ARR) At Risk clients and only had a $180k reduction in ARR- Worked within our strategic team to develop product offerings whose end results were pushed out to the entire company, adding 10 additional products for Sales to generate revenue- Worked with executive management on user adoption strategies and built process around it for additional product offerings for Customer Success to reduce overall cost center- Subject Matter Expert (SME) for End-to-End solution for Workfront, Proof HQ, and Workfront DAM for Customer Success and Ops departments

- Created and Developed a Project Management Office (PMO), creating a new department within the company- Developed training programs to improve project management culture within the enterprise- Head of the Project Review Committee, other members include C-Level and SVPs- Managed projects with budgets of $250k up through $25M+-- Cross-departmental collaboration of 24 different departments (inc vendors)-- Timelines that spanned from a few months up to 1.5 years- Researched and procured new PPM/Work Management solution (AtTask).- Developed and Launched AtTask/Workfront to company of 2000 users over the course of 6 months

- Project Management of new programs, initiatives and revenue channels.- Contract Negotiation with External Vendors and Investors.- Review and interpret Investor/Agency/MI memos and determine impact to the corporation.- Identify/implement opportunities to leverage systems to reduce risk associated with programs.- Research and gather business and/or financial information, perform ad hoc analysis to support business decisions and provide feedback to executive management regarding results.- Develop a thorough understanding of the business and its functions, processes and operations.- Keep abreast of business and market trends, which may affect the organization.- Research new investors, establish any requirements, determine market need, build out program, launch to company

- Facilitate and manage the lock pipeline for Secondary.- Analyze existing reports used by the Secondary Marketing team to ensure accuracy and completeness of data. - Identify issues with current reporting mechanisms, determine cause and recommend solution to ensure accuracy and completeness.- Analyze the delivery and transaction functions to identify opportunities to become more efficient.- Assists in identifying and implementing process improvements for secondary marketing functions.- Supports the Capital Market team as needed to assist in the fulfillment of trades.- Supports the Program Admin team on the implementation of new products.

- Took existing risk management systems and applied those towards existing credit card customers. - Created new processes for enhanced risk management which resulted in lowering defaults by 20%.

- Sales of new services and products to existing client base via inbound calls- Tech Support of online banking platform- Customer Service for outstanding issues related to customer accounts

- Started in Customer Service and was promoted within six (6) months to Retention- Was promoted to Tech Support within six (6) months of going to Retention

- Created a new platform for game companies to create new content delivery methods while in the alpha/beta testing phase to increase beta pull through rates.- Worked with several large companies such as Warner Bros. Entertainment, SOE, Wind-Up Records and Warner Bros. Records as well as a few smaller companies such as Turbine and Perpetual. - Created (3) three radio stations for three games which each had their own Personnel and management structure.- Managed three (3) Station Managers, of which managed their respective personnel (i.e. DJs, HR Personnel, Programmers, etc.)

- Created a new platform for game companies to create new content delivery methods while in the alpha/beta testing phase to increase beta pull through rates.- Worked with several large companies such as Warner Bros. Entertainment, SOE, Wind-Up Records and Warner Bros. Records as well as a few smaller companies such as Turbine and Perpetual. - Created (3) three radio stations for three games which each had their own Personnel and management structure.- Managed three (3) Station Managers, of which managed their respective personnel (i.e. DJs, HR Personnel, Programmers, etc.)