Cassie Kozyrkov

Kozyr

Speaking and advisory services. Request form: makecassietalk.com

Kozyr was renamed from Data Scientific.

Chief Executive Officer

Federal Reserve Bank of New York

Served a full two year term as Innovation Advisor and Councillor at the Federal Reserve Bank of New York, with a focus on the impact of AI on the financial markets and global policy.

Innovation Advisory Council Member

Google

Decision Intelligence is an interdisciplinary field concerned with all aspects of decision-making.  It combines Data Science (statistics, machine learning, AI, analytics) with the Behavioral Sciences (psychology, neuroscience, economics, and the managerial sciences).

I serve as a thought leader in this new discipline, guiding Google and the world in making safe, effective use of AI and data.

Chief Decision Scientist

My mission is to democratize artificial intelligence and guide business leaders in harnessing the transformative power of machine learning.

Chief Data Scientist, Office of the CTO

Youngest ever member of Google's Office of the CTO, specializing in AI and data science.

I'm also a coauthor of Google's Technical Director training program to teach others how to succeed in the role.

Technical Director, AI and Data

My roles are: statistician, machine learning expert, mentor, data scientist, evangelist, decision scientist, and consultant.  I bridge the gap between leaders and quantitative analysts / researchers.

As Google's statistics and machine learning sensei:
* I've advised 200+ teams at Google on their analytics processes.
* My ideas have sparked 400+ new projects.
* I've trained 20,000+ analysts/leaders/engineers in rigorous data-driven decision-making and/or using machine learning to transform their work.

Largest projects in: Search Advertising, Google Maps, Machine Intelligence, Infrastructure, YouTube

Statistician

Self-Employed

Data science consulting and analytics services for clients from government organizations, private sector firms, and academia.

Data Science Consultant

North Carolina State University

Statistics Lecturer

Statistical Computing, Advanced Topics in Statistics: Big Data, Special Topics in Statistics: Data Mining, Applied Time Series Analysis, Applied Multivariate Data Analysis, Advanced Probability and Measure Theory, SAMSI Computational Advertising, Statistical Methods II, Statistical Consulting, Statistical Theory I, Statistical Theory II, Linear Models and Variance Components, Stochastic Processes, Doctoral Research, Supervised Doctoral Teaching, R Programming

Mathematical Statistics PhD Student

Duke University

Psychology & neuroscience with specialization in transcranial magnetic stimulation (TMS) methods and the science of decision-making.

Neuroeconomics PhD Candidate

Center for Cognitive and Social Neuroscience at the University of Chicago

Coordinated lab research projects and team effort. Designed and ran experiments.

Project Manager

Charitable contributions and decision-making research with Professors Steve Levitt and John List.

Research Assistant - Prof. John List

Cassie is Google’s former Chief Decision Scientist and a sought-after AI advisor, working with senior leaders at places like Lenovo, NASA, and Gucci. She is currently CEO of Data Scientific and is known for founding the field of Decision Intelligence.

Cassie is a beloved personality in the data and AI community, followed by over half a million tech professionals. She is also a renowned keynote speaker and writer. ( If you'd like her to speak at your event, here's her booking form: makecassietalk.com )

In almost 10 years at Google, Cassie personally trained over 20,000 Googlers in data-driven decision-making and AI and has helped over 500 projects implement decision intelligence best practices. Before that, she served in Google's Office of the CTO as Chief Data Scientist. The rest of her 20 years of experience was split between data science, consulting, lecturing, and academia.

If you've had a good chuckle while learning about AI, statistics, or decision-making, chances are you've encountered her writing, which has reached millions of readers. She has been honored as a LinkedIn Top Voice for 5 years and as a #1 Artificial Intelligence writer on Medium for 7 years.

Speaking and advisory services. Request form: makecassietalk.com

86% of enterprises plan to invest more in agentic AI.
6% trust agents to run core processes.

Let's talk about that gap!

Harvard Business Review just released some findings about tech decision-makers (n=603):
🤖 86% expect agentic AI investment to grow in 2 years
🤖 6% fully trust agents with end-to-end processes
🤖 ~25% say they're "ready" on infrastructure, data, security, and governance

That lack of trust is a good thing, in my opinion. Trusting complex probabilitistic systems without re-archtiecting complex processes is a recipe for kablooies. If anything it should give you hope. The trouble is that the redesign is difficult except in narrow use cases.

The model isn't the bottleneck anymore.
The plumbing and the people are.

Fragmented apps and data → agents can't get reliable context 
Legacy processes → never designed for autonomous execution 
Security and compliance → no playbook for "agents at the core" 
Employees → unclear if agents are tools or replacements

The report points to enterprise orchestration as the missing layer—connecting systems, standardizing actions, enforcing governance so agents behave predictably instead of becoming shadow IT.

Old question: "Which LLM should we use?"
New questions:
Which processes are we willing to redesign around agents?
How do we orchestrate data, tools, and guardrails so we can trust them with real work?

In 3 years, the gap won't be "who has agents."
It'll be who rebuilt their processes so agents can actually run them.

Where is your team right now?
A) Still experimenting at the edges (help desks, copilots) 
B) Re-architecting workflows so agents own real outcomes 
C) Somewhere in between, trying to figure out where to start
D) Waiting and watching others stub their toes

Drop your letter below. Your comments make my (digital) world 'round.

P.S. On a completely different note,  my Decision-Making with ChatGPT course is running on demand right now with a live Q&A with me next week. Come ask me anything! decisiongptcourse.com

CEO, Google's first Chief Decision Scientist, AI Adviser, Decision Strategist, Keynote Speaker (makecassietalk.com), LinkedIn Top Voice

Agentic HBR

Been wondering when my next cohort will be? Surprise! The time is NOW. If you missed the previous run or have been waiting to join, enrollment is now live:

 👉 https://lnkd.in/eG7EBtTv

The last cohorts made something clear: leaders aren’t looking for more information. They’re looking for clearer judgment. ChatGPT helps - but only when you use it in the right parts of the thinking process.

In this cohort, we’ll continue the work of turning AI into a genuine thinking partner instead of a shortcut. You’ll learn how to:

• Use ChatGPT to reduce effort without losing rigor
• Avoid the trap that turns “AI-assisted” into lazy thinking
 • Spot cognitive biases before they distort outcomes
 • Separate luck from decision quality
 • Build a decision scribe so you finally learn from your choices
 • Operate with confident judgment instead of drowning in advice

You’ll get 30+ on-demand videos (available as soon as you enroll), a 2-hour live Q&A with me (at 1 PM ET Dec 18), prerecorded Q&A from earlier cohorts, templates, frameworks, and a global community.

If you're working on sharpening your thinking in an AI world, Cohort 3 is now open.
 👉 https://lnkd.in/e-RaxVJJ

If this resonates, a repost or subscribing to decision.substack.com helps the course reach the leaders who need it.

#DecisionIntelligence #AILeadership #StrategicThinking #DecisionMaking #AI

Qintess

Executive Data Manager reporting to the Senior Executive Director, responsible for Pre and After Sales (Data Strategy, Architecture, Data Program/Project; and Data Operations)

Responsible for:
- To support our customers in Data Culture Adoption 
- To elaborate roadmaps/journeys for Data initiatives 
- To help customers with the adoption of tools and processes to leverage their Data Maturity and to generates ROI through Data Initiatives
- To support customers in structuring Data Teams and Centers Of Excellence for Data 
- To promote events to scale Data Culture and Data Literacy (Hackathons;  Tutorials; BootCamp; Meet Up's) 
- To attract and help the development of Data Professionals' careers (Data Engineers; Data Scientists; Data Architects and Data Tech Leads, etc) 
- To support the adoption of Agile Practices
- To assess and recommend Data Tools and Data Platforms
- To plan and deliver Data Programs/Projects and Data Operations

Operations Manager - Data & Analytics

everis

Project 1/2 - Project for an BEVERAGE INDUSTRY customer - to integrate numerous data sources into a consolidated data repository to support data-driven decision-making 
I led 3 teams/Squads with 15 engineers. I led an international project (more than 20 countries involved) to extract, resolve, and unify information of various types from numerous disparate data sources. As a result of it, the data was loaded in a consolidated data repository (Data Lake / Enterprise Data Hub in Cloud). I also led the building and deployment of Dashboards/Panels designed to support executive's data-driven decision-making.  
Technologies: Azure; Shell Script; Talend; Pentaho; SQL Server; TSQL; Hive; BODS; Looker and MS Power BI.

Project 2/2 - Project for an UTILITIES/ENERGY customer - to enhance and automate an ML Solution 
I led 4 engineers to deliver an enhancement for a Machine Learning (ML) Solution based on GBM Model, and to automate the execution process of training it, as well, the process that executes the ML computation (score computation) monthly.  
Technologies: Shell Script; Hive; Python and Jupyter Notebook.

Team Lead - Data & Analytics

Telefônica Brasil

Digital Transformation Delivery Manager ( working as a direct employee )
I managed the delivery of several Digital Transformation initiaves/projects (based on: IoT; Intranet/Internet Connectivity; IT Security; Data Engineering and Data Science, for customer from several industries)

Delivery Manager- Digital Transformation 

Analytics Project Manager ( working in an outsourcing company ) 
I led 15 engineers ( 2 squads ). I led an international project to extract, resolve, and unify information of various types from numerous disparate data sources. The data was loaded in a consolidated data repository modeled to provide reporting information to fulfill regulatory requirements ( IFRS 15 ).  
Technologies: AWS; Azure; Spark; Python and Hive.

Team Lead - Data & Analytics 

I led 10 engineers to deliver an automated ETL process to load data from several data sources. The project's purpose was to create and maintain a consolidated data repository (Data Lake/EDH) to support managers/executives in data-driven decision-making. 
Technologies: Hadoop Hortonworks; Oracle Database; Sqoop; Hive; Python and,  TIBCO Spotfire.

Delivery Manager- Data & Analytics 

Inovive

- Research and Development on Data Analytics;
- Digital Transformation Consulting;
- Helping established companies to become more innovative;
- Mentoring for Startups;

Co-founder/CEO

Vitrinu

I co-founded an online social network with the idea to create a platform to connect people involved in sporting activities (professionals and amateurs), including athletes; clubs; sponsors; talent hunters, brand owners; etc. Our aim was to become a “LinkedIn” for the world of sports. 
I led the creation of the Mobile App and Web Site, from the development of the idea until the development of the digital products, together with, the operational management and evolution after the launch.  
Technologies: Python/Django; Postgre DB and Cloud.

Cofounder/CTO/COO

Accesstage Tecnologia Ltda

I managed the delivery of several data analytics projects for clients from different industries, since the pre-sales efforts until the delivery to the Support Team. I also accumulated the role of a business analyst to elaborate the Functional Specification and Test Cases.
I managed the relationship with internal teams; suppliers; clients and other involved organizations. I also helped to structure the PMO process and operation.

SR Program/Project Manager - RPA & Data Integration 

KPMG Brasil

I supported companies in their journeys to create and dimensioning their innovation systems and processes, as well as in the fundraising for their innovative initiatives/projects through tax incentives and lines of investment from government entities such as public banks (FINEP and BNDES).

Research & Development (R&D) and Innovation Consultant for IT and TELCO  

I design the Data Layer and the Application Layer of Enterprise Architecture, and coded and deployed the foundational components to integrate the Data and the Applications applying Microservices Concepts. 
I led the migration of the CRM solution for MS Dynamics into the LATAM KPMG offices, as well as the integration between pre-existing systems such as ERP’s. 
Additionally, I helped to structure and to operate the Shared Services Center for LATAM.

Enterprise System Architect

- Technical setup of IFS Applications - including installation of ORACLE database and application server; Windows Clients (configuring the user’s workstations); 
- User Administration - assessment of the user’s groups and segregation of roles - to define access  and permissions (grant/revoke);
- Elicitation and documentation of business and technical requirements - providing support specially to the Business Consultants, users and development team;
- OO Modeling using Rational Rose/UML and IFS Designer - to create or update software artifacts like database objects (views; packages; functions and store procedures);
- Software developing using Java, Centura, .Net and Oracle PL/SQL;
- Quality Assurance - creation of tests plans to execution of integrated tests (business/users perspective); 
- Controlling Bug FIX and customization packages;

Solutions Engineer

CONSULT

Member of team that build a new IT Tax Solution to Curitiba city hall (capital of state of Paraná of Brazil).  

Responsibilities:
- Elicitation and documentation of business and technical requirements;
- UML documentation - using Sybase Power Designer  (building class diagrams - with derivation of ER diagram, state diagram, etc);
- Design of User Interface prototypes for Web applications;
- Quality Assurance - elaboration of test plans - for integrated tests (business perspective);
- Support to technical team about customer requirements - serving as an interface between customer and development/delivery team;
- Support for the team for the use of UML and good practices for documentation.

Java/ OO Architect

I empower data engineers and data scientists to deliver high-impact data projects with the main goal of supporting the business decision-making process.  

I lead Data Engineers to extract value from data, combining numerous data sources, and building data repositories such as Data Lakes; BI/DW/EDH to promote the data analysis through Data Visualization tools.  

As my main responsibilities, I also lead Data Scientists to bring insights using data and Advanced Analytics Solutions such as Machine Learning, and Process Mining. 

In the manager role, I'm involved in the entire Software Development Life Cycle (SDLC) and DevOps (Continuous Integration / Continuous Improvement) focusing on technical guidance and coordinating to deliver committed features while managing internal and external stakeholder expectations. On people management, I'm involved with the hiring, on-boarding, 1:1, career development, retention, health/safety, objectives, performance. 

Hands-on experience on how to create and sustain software in operation. Experience with BI/DW/ETL, Big Data/Hadoop and, Data Science. I also have working experience with ERP and CRM Solutions and, a variety of IT Tools/Solutions, most of the time working for Big4 (KPMG) and global IT Services consulting companies (such as Everis/NTT Data and, IFS).

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Cassie Kozyrkov

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Rogério Jesus

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Engagements

Likes

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