Matthew Paris — CEO

Experienced AI and digital transformation leader with over 19 years of expertise in data science, artificial intelligence, and predictive analytics. I specialize in helping organizations leverage cutting-edge technologies to drive innovation, improve operational efficiency, and create exceptional customer experiences. As the founder of Le Marais Advisory, I partner with both private and public sector clients to develop and implement comprehensive AI strategies. My approach combines strategic vision with hands-on technical skills to deliver tangible results. Key areas of expertise: • AI strategy development and roadmapping • Enterprise-wide digital transformation • Advanced analytics and machine learning • Cloud migration and architecture (AWS certified) • Process automation and optimization • Change management for AI adoption I have a proven track record of leading high-impact AI initiatives for Fortune 500 companies, government agencies, and innovative startups. My experience spans industries including healthcare, financial services, retail, and defense. Prior to founding Le Marais Advisory, I held leadership roles at top consulting firms including Booz Allen Hamilton, EXL Services, and Blue Orange Digital. I hold an MBA from the University of Maryland and am a certified Project Management Professional (PMP). I'm passionate about empowering organizations to harness the transformative potential of AI and analytics. Let's connect to discuss how emerging technologies can drive value for your business.

Stackforce AI infers this person is a leader in AI-driven digital transformation across various industries.

Location: Washington, DC, United States

Experience: 15 yrs 10 mos

Skills

Ai Strategy Development
Digital Transformation
Go-to-market Strategy
Digital Capability Scaling
Team Building
Data Science Leadership
Machine Learning Solutions
Robotic Process Automation

Career Highlights

19 years of experience in AI and digital transformation.
Led high-impact AI initiatives for Fortune 500 companies.
Expert in developing AI strategies for operational efficiency.

Work Experience

Marais Advisory

Managing Partner (2 yrs 8 mos)

EXL

Vice President of Artificial Intelligence (2 yrs 5 mos)

Blue Orange Digital

Vice President of Data Science (1 yr 3 mos)

Booz Allen Hamilton

Chief Data Scientist (6 yrs)

U.S. Department of Veterans Affairs

Senior Veteran Service Representative (Operational Analyst) (6 yrs 2 mos)

Education

Master of Business Administration - MBA at University of Maryland

Bachelor’s Degree at Cabrini University

Matthew Paris

CEO

Washington, DC, United States15 yrs 10 mos experience

Highly StableAI Enabled

Key Highlights

19 years of experience in AI and digital transformation.
Led high-impact AI initiatives for Fortune 500 companies.
Expert in developing AI strategies for operational efficiency.

Stackforce AI infers this person is a leader in AI-driven digital transformation across various industries.

Contact

matthew.paris85@gmail.com LinkedIn

Skills

Core Skills

Ai Strategy DevelopmentDigital TransformationGo-to-market StrategyDigital Capability ScalingTeam BuildingData Science LeadershipMachine Learning SolutionsRobotic Process Automation

Other Skills

IT & Business Strategy AlignmentEnterprise SoftwareOperational efficiencyTechnical due diligenceAI/ML capabilitiesBusiness StrategyData scienceMachine learningGoogle Cloud Platform (GCP)Microsoft AzureMicrosoft SQL ServerAgile MethodologiesPython (Programming Language)Management ConsultingData Analysis

About

Experience

Marais advisory

Managing Partner

Jul 2023 – Present · 2 yrs 8 mos · Washington DC-Baltimore Area · Remote

AI transformation executive specializing in mid-market private equity value creation. With 19+ years driving enterprise AI initiatives, I help PE firms unlock operational efficiencies, enhance portfolio company EBITDA, and identify strategic AI opportunities across their investments.
🎯 Private Equity Services
Portfolio Company Value Creation:
Develop AI roadmaps that identify $50M-$85M+ in operational savings and revenue opportunities
Conduct rapid AI maturity assessments (2-4 weeks) to prioritize high-impact initiatives
Build 100-day AI implementation plans aligned with PE value creation timelines
Design strategies leveraging existing tech stacks (ServiceNow, Salesforce, Microsoft 365) for rapid ROI
Create competitive intelligence frameworks to defend market position and identify expansion opportunities
Deal Support & Due Diligence:
Technical due diligence on AI/ML capabilities and digital maturity for target companies
Identify AI-driven synergies and integration opportunities for platform acquisitions
Assess technology debt and modernization requirements impacting valuation
Map competitive landscape and emerging AI threats in target sectors
Evaluate build vs. buy decisions for AI capabilities
Post-Acquisition Value Enhancement:
Design post-close AI strategies for G&A efficiency and margin expansion
Implement automation frameworks reducing operational costs 20-40%
Build scalable data infrastructure enabling AI-driven decision making
Establish responsible AI governance meeting enterprise buyer requirements
Create centers of excellence for AI deployment across platform companies

IT & Business Strategy AlignmentEnterprise SoftwareAI strategy developmentDigital transformation

Exl

Vice President of Artificial Intelligence

Oct 2021 – Mar 2024 · 2 yrs 5 mos · Washington DC-Baltimore Area · Remote

Designed and implemented go-to-market strategy to scale $10 million digital capability into $50 million
capability by end of 2023, including building funnel strategies, budgeting, starting CX practice, hiring,
and evangelizing our suite of digital solutions.

IT & Business Strategy AlignmentBusiness StrategyGo-to-market strategyDigital capability scaling

Blue orange digital

Vice President of Data Science

Apr 2020 – Jul 2021 · 1 yr 3 mos · Washington DC-Baltimore Area

Built a 40 FTE cross functional team of Data Scientist, Data Engineers Machine Learning Engineers, ML Ops Architects, and Solution Architects that delivered over $2 million in revenue.
Served as technical expert for white papers, case studies, and webinars with external partners and clients.
Technical leader for all Machine Learning related client engagements. In this role I delivered sophisticated
o SageMaker ML Ops, CI/CD Pipelines
o Churn Models, LTV Models
o Financial Forecasting
o Real-time Kinesis Data Stream Solutions to inform staff when a customer is having a poor experience
o Product Recommendation engines
Identified 95% of customers that were likely to not return to an organizations retail location saving the company over $5 million annually in marketing spend.

IT & Business Strategy AlignmentBusiness StrategyTeam buildingData science leadership

Booz allen hamilton

Chief Data Scientist

Apr 2014 – Apr 2020 · 6 yrs · Washington D.C. Metro Area

Led strategy, procurement, differentiation and delivery of over $10m per year in Machine Learning and Robotic Process Automation solutions across multiple government agencies, with a focus in analytics, fraud waste and abuse, machine learning, data science and automation.
Mentored and lead a staff of 40 FTE (Data Scientist, ML Engineers, Management Consultants, Business Analyst, Data Engineers, Solution to build the Health Analytics team which produces over $8 million in direct labor revenue per year.
Act as firm’s subject matter expert in Robotic Process Automation to present complex ideas to government clients that has resulted in five RPA projects spread across multiple agencies.
Developed Python scripts (Pandas, Numpy, Docx, myPDF, BeautifulSoup, selenium, NLTK, Keras) to automate various business processes (financial reporting, FedBizOpps web scraping procurements, Resume reviews, Monthly Status Reports, Data consolidation)
Developed Center of Excellence, Concept of Operations for Chief Digital Office
Leading strategy, development and delivery of Natural Language Processing algorithm to parse and rank importance of legacy Electronic Health Records for a large government agency.
Created Organizational Robotic Process Automation Strategy to demonstrate a typical RPA Engagement (e.g. Assessment, Strategy, Pilot, Implementation, Operations)
o EHR entity recognition for health care client
o Built Shared Service capability for DoD client (RPA, ML, AI, Virtual Reality, Research)
o IT Modernization project worth $300 million to introduce ML to government agency

IT & Business Strategy AlignmentBusiness StrategyMachine learning solutionsRobotic process automation

U.s. department of veterans affairs

Senior Veteran Service Representative (Operational Analyst)

Feb 2008 – Apr 2014 · 6 yrs 2 mos · Greater Philadelphia

My duties included performing quantitative and qualitative analyzes and evaluations of program efficiency and effectiveness. In 2012, my oversight was integral in reducing the oldest pending claim inventory by 97% and the disbursement of over $30 million in overdue benefits for which I received the gold medal for “Outstanding Technical Support Accomplishment” at the Excellence in Government Awards.