Product Manager Resume

Candidate Pitch:

Experienced technical product manager specializing in SaaS analytics and machine learning (AI) with a strong background in cloud architecture, including Microsoft Azure, and AWS. Proven leadership in managing product lifecycles, with exceptional communication skills and a commitment to continuous professional development. PROFESSIONAL EXPERIENCE OpenText - Cybersecurity Data Science and AI Product Manager May 2021 – July 2024 • Designed and led the development of a next-generation intelligence platform that unified AI-driven analytics, business intelligence, and real-time data processing to improve decision-making across security, compliance, and customer insights. • Built a machine learning-powered analytics engine that processed structured and unstructured data from emails, logs, cloud applications, and customer interactions to detect anomalies and predict risks. • Enhanced AI/ML threat detection accuracy (96% → 98%) while also applying the same methodologies to business intelligence use cases, such as identifying customer churn risks and product engagement trends. • Developed an event correlation system using graph-based relationships, enabling predictive analytics for security, fraud prevention, and operational intelligence. • Led execution across engineering, AI/ML, and product teams, improving cross-functional collaboration and streamlining workflows, increasing operational efficiency by 10%. • Integrated real-time data streams from enterprise SaaS platforms, security systems, and behavioral analytics tools, applying AI to identify trends, optimize user experiences, and automate decision-making Zix|AppRiver Product Manager, Email Threat Protection and Compliance November 2015 – May 2021 • Spearheaded initiatives to enhance cybersecurity product features, directly addressing customer feedback and KPIs to improve satisfaction and retention rates. • Secured a patent for a machine learning-based email filtering system, enhancing compliance and raising the standard for advanced threat protection. • Collaborated with customers and stakeholders to prioritize ML-driven feedback features, enhancing product performance by 15%. • Delivered data protection solutions ensuring GDPR, CCPA, and HIPAA compliance, improving data risk and governance for customers. • Partnered with MSP/MSSP stakeholders to increase adoption and upselling. Senior Research Engineer March 2014 – November 2015 • Researched and evaluated the viability of new regulatory email content filters for HIPAA and other compliance standards to determine their return on investment (ROI) for our email gateway product. • Produced comprehensive dashboard reports in PowerBI to analyze filtering errors by vertical, location, and time, providing data-driven insights for feature prioritization. • Retained an enterprise-level customer by devising and implementing a 6-week troubleshooting plan, leading to a 3-year contract extension worth $140k. • Acted as a technical subject matter expert on the regulatory content scanning engine, ensuring strategic alignment with customer compliance needs. Master of Science – University of Texas at Dallas, Social Statistics – Focus on regression models, econometrics, and human capital economics. Bachelor of Science Organizational Psychology – University of North Texas CERTIFICATIONS Quantitative Analysis Certification – University of Texas at Dallas Specialization in structural equation modeling, time series analysis, and Bayesian analysis. Microsoft Certified: Azure Fundamentals 1F4724-CAFA37 PATENTS Email Risk and Compliance: Machine Learning with Attribute Feedback Based on Express Indicators (Patent 20200364605 - 16/410412).