Maria Zervou

CEO

London, England, United Kingdom9 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in translating AI strategies into actionable business outcomes.
Proven track record in leadership and decision-making in AI.
Keynote speaker and co-host of AI-focused discussions.

Stackforce AI infers this person is a strategic leader in AI and data-driven decision-making within the SaaS industry.

Contact

Skills

Other Skills

Business AnalyticsDecision SciencesData AnalysisSQLMatlabTeamworkSASPythonDecision and Risk AnalysisBusiness StrategyScalaTableauGithubInformation SystemsJava

About

I help executives turn AI ambition into clear, confident decisions. As Chief AI Officer at Databricks, I work across industries seeing what actually drives impact with AI—and what repeatedly gets in the way. Most challenges aren’t technical; they’re about focus, ownership, and trust. I don’t approach AI as a standalone strategy exercise. I focus on helping leaders prioritize, avoid common pitfalls, and connect AI efforts to real business outcomes. I also speak with leadership teams and co-host VectorLab, where we share practical perspectives on AI, data, and decision-making beyond the hype.

Experience

9 yrs 10 mos

Total Experience

1 yr 7 mos

Average Tenure

5 yrs 5 mos

Current Experience

Databricks

5 roles

Chief AI Officer EMEA

Promoted

Oct 2025 – Present · 7 mos

ML/AI Product Specalist EMEA

Promoted

Feb 2025 – Oct 2025 · 8 mos

ML & GenAI Specialist | D&B Lead

Promoted

Sep 2022 – Feb 2025 · 2 yrs 5 mos

Senior Solutions Architect

Promoted

Jul 2022 – Sep 2022 · 2 mos

Solutions Architect

Oct 2020 – Jul 2022 · 1 yr 9 mos

Bt

Senior Data Scientist

Sep 2019 – Oct 2020 · 1 yr 1 mo · London, United Kingdom

Kantar

Data Scientist

Nov 2017 – Sep 2019 · 1 yr 10 mos · London, United Kingdom

The british library

Data Scientist

Nov 2016 – Nov 2017 · 1 yr · London, United Kingdom

Satalia

Research Data Scientist

May 2016 – Aug 2016 · 3 mos · London, United Kingdom

Data analysis on customers’ purchasing behavior. Change point analysis methods were applied to identify the time locations where the behavior of the customer changes and effectively identified the reasons that caused the changes.

Psychsignal

Research Data Scientist

Jan 2016 – Mar 2016 · 2 mos

Data Analytics project: Trading on social media mood.
Based on StockTweets, Tweeter messages and their corresponding sentiment, I investigated if some business sectors are more sensitive to sentiment than others. A prediction model was constructed to predict the stock return for the following day. Seasonality, causality and correlation tests were applied to ensure the robustness of the model. Based on predictions of the model, a portfolio of stocks was built.

Connect line

Spring Internship: Technology Consultant

Mar 2015 – Jun 2015 · 3 mos · Athens, Greece

Training on the use of a Greek ERP and CRM system -SoftOne- (side of user, technical side), Realtime projects for customers (make improvements or personalize the ERP system based on the
customers’ needs), Data Extraction projects and Data Visualisation with the use of QlickView(BI
tool)