Sharon M., Chief Data Analytics Officer at U.S. Army CECOM SEC
Vision AI Award · CDO Vision New York 2026
U.S. Army CECOM SEC logo
U.S. Army CECOM SEC

Attendee

Sharon M.

Chief Data Analytics Officer at U.S. Army CECOM SEC

1Rooms joined
0Sessions on stage
1Awards

On their agenda

One priority, mapped against profiled leaders

01

Operationalizing Data Centricity: Transforming legacy logistics and engineering data into predictive insights that directly enhance equipment availability and soldier readiness. Secure AI Democratization: Scaling internal efficiencies by deploying AI tools that are not only effective but compliant with rigorous DoD Zero Trust and cybersecurity standards.

AI strategy
Source: 734 CIO Vision leader profiles with at least one priority theme, from 742 leaders in the series. Share of those leaders in each theme; leaders may have multiple themes. Yellow marks Sharon's saved themes.

In the room

New York, 30 Jan 2026

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New York room · 30 Jan 2026
New York · 30 Jan 2026
New York room · 30 Jan 2026
New York · 30 Jan 2026
New York room · 30 Jan 2026
On film

Working on now

Project "AI Flow": Overseeing the deployment of an internal agentic AI platform designed to automate administrative workflows and summarize intelligence, acting as a force multiplier for the workforce

About

<p>Sharon Morris is the Chief Data Analytics Officer at CECOM/SEC. In her role, she focuses on</p><p>supporting efforts to use data as an asset to support readiness on the battlefield and to increase</p><p>internal efficiencies. Before joining CECOM/SEC, Sharon was a senior data science leader at</p><p>PGIM Investments, where she focused on using AI to understand and to engage customers,</p><p>empower Sales with tools needed to meet sales goals, and to use GenAI for efficiencies. Prior to</p><p>that, she held leadership roles at Prudential Financial, Real Estate Board of New York, and PwC,</p><p>driving innovation by aligning data and the supported infrastructure, data analytics, trading,</p><p>research, data governance, and performance analytics.</p><p><br></p><p>Sharon holds two M.S degrees. She has a M.S. in Research Methods and statistics from Hunter</p><p>College and a M.S. from CUNY SPS in Data Analytics. She is currently a doctoral candidate at</p><p>George Washington University studying Engineering and Cybersecurity Analytics. Her area of</p><p>research is the refusal behavior of GenAI systems against cybersecurity attacks. She is also a</p><p>CIPP/US holder.</p>

Summarised from public LinkedIn activity ·

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