Shape and drive alignment around AR/XR and Generative AI product strategy and roadmap to build delightful products. Achieve results-oriented goals in a fast-paced, ambiguous, and constantly evolving environment, demonstrating excellent business judgment to build the future of AR/XR and GenAI.Capture product requirements, prioritize requests, establish goals, and drive the feature development process.Define and analyze metrics that inform fast iteration and ultimately the success of AR experiences and the overall platform.Empathize with users to identify areas to improve their experiences.Stay current with the AR technology stack and research, including application of AI/ML.Use quantitative problem-solving skills to break down large problems into smaller solvable chunks.Work as a horizontal leader to foster collaboration between engineering, design, user experience, marketing, legal, and business development teams.Communicate product status, key issues, and launch plans to key constituents across the organization, including the executive team.

Leader in product roadmap development and management, helping enterprise clients apply AI/machine learning to optimize performance at scale. Product Manager for Google Cloud AI Talent Solution's Profile Search and Conversation Engine--AI/ML enabled products in the talent recruitment space. Profile Search powers recruiter-facing search over large datasets of candidate profiles. Conversation Engine delivers a powerful chatbot experience leveraging Google DialogFlow for candidate screenings, interview scheduling, and automated profile updates.Lead a team of 20+ across software development, quality assurance, UX design, analytics, linguistics, customer experience, legal, marketing, and business development to deliver major product releases and feature updates.Own the MVP roadmap for monthly and quarterly releases.Manage client and up-line stakeholder reviews, and prioritize continuously in accordance with client issues and requirements.Apply persuasion and influencing to ensure alignment between client, engineering, and cross-functional teams.Problem decomposition and navigation through ambiguity.Apply agile methodology to translate unstructured or ambiguous work requests into actionable stories.Engage regularly on development team scrums to facilitate discussions, story acceptance and refinement, testing and validation, design activities and decisions, and provide clarification.Manage backlog and continuously prioritize to ensure that 1-2 sprints of backlog are always ready.Mentor junior team members.

Led a highly motivated cross-functional team to deliver IBM Pearl, a client facing marketing analytics service that enables 5K+ worldwide marketers to receive automated near real-time alerts on marketing performance and actionable best practices to improve results.Led a team of 10 analytics consultants, data scientists, UX designers, developers, and data architects to deliver major product releases and feature updates.

Advise and guide internal IBM business unit and geography leaders, as part of a new digital analytics advisory team, on digital marketing analysis and best practices to drive operational improvements.Created and implemented the Decision Analytics (DA) digital marketing best practices framework by audience, content, and user journey to identify problem areas in campaign execution (discovery, engagement, conversion), implement data-driven solutions, and optimize actual performance against benchmarks, with particular emphasis on measurable revenue growth and sales linkages.The Decision Analytics framework serves as the basis for IBM's Decisions Through Data (DTD) digital marketing enablement which is being deployed and adopted across global geographies and 5,000+ IBM global marketers.Launch and enable digital marketing analytics capabilities across IBM, leveraging internal and external digital tools, including IBM Digital Analytics, Hotjar, Optimizely, and Convetro, among others.

Developed and managed the bottom-up Watson Analytics digital marketing funnel to drive discovery, engagement, and conversion performance against targets by paid, owned and earned channels, with measurable improvement in search, social, and display spend planning and efficiency.Managed worldwide planning and cadence, budget allocation, and cross-team coordination across geographies.Developed worldwide and country digital marketing funnel benchmarks, reporting, and revenue targets by tactics, including banner ads, search, social, and content syndication.Applied data-driven marketing services and diagnostics, including content personalization, search engine optimization (SEO), and paid media spend mix in coordination with advertising agency partners to drive impressions and exceed visits, responses, leads, wins, and revenue targets.

Created scalable client segmentation and targeting analyses across millions of global enterprise prospects to guide internal IBM sales, marketing, finance, and strategy groups to target optimal clients and sales opportunities.Design and develop company level sales opportunity models, market share analysis, and insights across IBM Hardware, Software, Services, and Finance, covering more than 5-million commercial and government clients and prospects across a half-million combinations by geography, industry, enterprise size, product categories, and projected years.Improved model output quality by implementing dynamic user feedback processes, transparent model filters and constraints, and understanding client preferences. Reduced time to access client sales opportunity data from days and hours to minutes and seconds by working with internal partners to develop self-serve web-based interfaces and digital tools.

Led sales opportunity models and market share analysis for internal IBM Global Business Services (GBS) and Global Technology Services (GTS) by industry, geography and product category to drive quarterly go-to-market and strategic planning.Implemented sales opportunity and market share analysis models, including competitive position, for 10 new technology service lines and 6 new business services within IBM Global Services units, representing billions of dollars in opportunity.Selected into IBM's Marketing Leadership Development Program.

Developed market opportunity models and analyses to support multi-million dollar intellectual property licensing and commercialization for university based technology start-ups. Analyses and models served as foundation for licensing negotiations and venture start-up strategies.Technologies included heavy industry turbine technology, advanced material science for ballistics plating defense, and nanotech based sensors for rapid detection and identification of air borne toxins, among others.

Created high fidelity and best in class digital hyperspectral models to study the impact of soil and environmental processes on hyperspectral infrared signatures. Applied computerized soil models to understand phenomenology associated with thermal-optical detection of landmines. Decreased model development cycle from weeks to days.Authored and coauthored six technical papers on Hyperspectral Modeling:Cathcart, J.M., R. Campbell, R. Bock, M. Karlowatz, B. Mizaikoff, T. Orlando, “Impact of Shallow Buried Objects on the Spectral Properties of Terrain Features,” Proceedings of the SPIE, vol. 5089 2003. Cathcart, J.M., R. Campbell, S. Greenwood, R.D. Bock, B. Mauro, “Impact of Soil and Environmental Processes on Hyperspectral Infrared Signatures,” Proceedings of the SPIE, vol. 5415 2003. Campbell, R., S. Greenwood, J.M. Cathcart, “A Digital Hyperspectral LWIR Model for Studying Landmine-Soil Interactions,” Proceedings of the SPIE, vol. 5415 2004. Cathcart, J.M., R. Campbell, S. Greenwood, and R. Bock, “Verification of a LWIR Hyperspectral Landmine Model,” Proceedings of the SPIE, vol. 5415 2004.Cathcart, J.M., B. Mizaikoff, T. Orlando, R. Bock, M. Karlowatz, R. Campbell, “Phenomenological Investigations for Understanding Spectral and Polarimetric Signatures of Landmines,” Proceedings of the SPIE, vol. 5415 2004.Cathcart, J.M., R. Campbell, R. Bock, “Analysis of Soil and Environmental Processes on Hyperspectral Infrared Signatures of Landmines,” 24th Army Science Conference Proceedings, Dec. 2004.

Designed and taught secondary school advanced placement physics courses, included online courses, across 6 countries (South Korea, Germany, Italy, Japan, Spain, and the United States) and more than 1,000 students, increasing physics student enrollment by 20 percent.Created and advised school district's first robotics club.

Created and conducted interactive presentations in astronomy at the City University of New York City College Planetarium.Lectured and facilitated undergraduate physics courses, recitation sessions, and labs in mechanics and optics.

Taught middle school curricula in the physical, earth, and life sciences.