MENKA HARIANI

A Harvard Alumni and a visionary product leader with 15 years of extensive experience in product innovation, design, and delivery. In 2024 I designed two patent-worthy products using generative adversarial networks (GANs) and super minds and have been awarded as an exemplary at MIT. Also recognized as Top 50 Women of Impact in the Tech industry, I'm deeply passionate about data-driven decision-making and leveraging cutting-edge technologies to create products that consistently exceed customer expectations. I am eager to apply my expertise in shaping product roadmaps and addressing evolving market demands to accelerate growth and success of a forward-thinking company.

• Drove a $95M increase in Allstate Identity Protection's cyber product revenue, including a 6% rise in 2023 and 2.7% in Q1 2024, by expanding client relationships and introducing new distribution channels.
• Led integration with top OEM vendors and executed cybersecurity strategies, resulting in a 51% market share increase.
• Launched AIP's first direct-to-consumer plan on app stores, boosting user acquisition by 5% and expanding market reach.
• Spearheaded passwordless authentication, reducing customer onboarding time by 70%.
• Standardized mobile cybersecurity UX, increasing activations by 3% and cutting costs by $1.5M.
• Integrated identity protection into Allstate's app, expanding reach to 16 million households (5.3M customers).
• Reorganized UX, enhancing feature visibility and boosting adoption by 12% with Pendo-guided tutorials.
• Led product improvements at AT&T, raising NPS from 13 to 43 in 12 months.
• Launched a chatbot in a Mobile Banking App, reducing operational costs by 30% and boosting CSAT by 25%.
• Released award-winning mobile apps for over 100 media publishers, reaching over 2 billion users across 100 countries.
• Increased activated users by 25% and boosted premium conversions by 5% through targeted campaigns.
• As a Cloud Security faculty member, mentored 350+ cybersecurity professionals, guiding cloud migration for C-level executives.
• Optimized D&B's data ingestion and identity verification processes by leveraging IoT data and applying machine learning techniques to impute missing data. This resulted in a 50% reduction in operational costs and an 80% increase in data accuracy.
• Automated Mobifusion's content conversion, cutting down the go-to-market time by 96% - from an average of six months to six weeks, and enhancing efficiency and customer experience.
• Established and scaled the Product Department at Mobifusion, growing it into a high-performing team of 10, including product managers and UX/UI designers.
• Conceptualized an AI-driven dark web monitoring solution that proactively identified stolen credentials and alerted users when their personal information was compromised.