Sharon M.
CDAO | Honored as Most Influential Data and AI Leader | AI & Machine Learning Expert | Educator | AI Ethics & Governance | Board Member | Conference Presenter | Doctoral Candidate Engineering
- Role
- Chief Data Analytics Officer at Cecom Army Software & Innovation Center Asic
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Sharon M.
I’m a Chief Data & Analytics Officer with over 15 years of experience helping organizations apply AI, analytics, and data governance to solve complex problems and lead responsible innovation. My career spans private-sector leadership and now federal service, where I guide enterprise-scale data strategy and transformation.I’m currently completing a doctorate in engineering with a focus on cybersecurity analytics. My research explores how AI can improve phishing detection in intrusion detection systems (IDS), addressing risks tied to data imbalance, model reliability, and threat classification. This work expands my long-standing focus on building scalable, explainable, and trustworthy analytics systems.I also teach graduate level courses in data science and applied analytics, bridging academic research with practical insight for the next generation of leaders.I’m especially interested in contributing to advisory boards, speaking engagements, and strategic forums that focus on the intersection of AI, cybersecurity, and public impact.
Experience
Chief Data Analytics Officer
Cecom Army Software & Innovation Center Asic
Aug 2024 — Present · NY, US
Leading the enterprise data and analytics strategy to drive mission-critical insight, optimize operations, and elevate decision-making across CECOM/SEC.Currently guiding restructure to foster a culture of data literacy, agility, and analytics fluency. Overseeing AI and machine learning initiatives that enhance operational performance, model trust, and future-readiness.
Education
Hunter College
M.S., Research Methodology and Quantitative Methods
Stony Brook University
B.A., Psychology
CUNY School of Professional Studies
Master’s Degree, Data Science
The George Washington University - School of Engineering & Applied Science
Doctorate, Engineering & Cybersecurity A.I.
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