Transition from Data & AI Practitioner to Executive

New
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4 Days

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Cohort-based Course

Our course equips Data and AI professionals like you to transition from individual contributor to a successful and effective executive.

Worked With

Google
Unilever
L'Oréal
DeepLearning.AI
Forbes

This course is popular

8 people enrolled last week.

Course overview

Get out of the Practitioner Rut and Become a Successful Data & AI Executive

Are you an individual contributor in data who can't seem to get out of the practitioner rut?


Are you striving for career success, with an eye on being an executive (maybe the C-Suite)?


Do you want actionable, real-world, and battle-tested lessons and coaching from people who've actually done what they teach?


Our goal is to help you avoid making common mistakes that stalls your career progress and the never ending doom loop of professional frustration and despair that comes with it.


This course is for you if


😭 You were passed up for a promotion

😭 You are tired of not being heard in the professional setting

😭 Have a strong desire to move up in the world, but feel stuck in your role

😭 You can't seem to develop a strong enough business case for your data initiatives

😭 You have great ideas but can't seem to get the support to get them launched

😭 Want to communicate better because you know its the key to building capabilities, driving impact, creating value


And...


⚡ You want to be a better data leader

⚡ You're ready to 'level-up'

⚡ You want to have presence & impact

⚡ You're trying to avoid making the same mistakes people make time and time again


By enrolling in our course, you'll learn real-world, battle-tested skills (no theory or BS) needed to pivot from a practitioner to leadership, including:


⚡ Learn the fundamentals: Build a strategy, develop a business case, amplify influence with techies & non-technies

⚡ Drive organizational growth through scalable technical and non-technical strategies

⚡ Know the difference between Leading vs. Contributing: The mindset shift required and avoiding mistakes people often make

⚡ Organizational Architecture: Impact on scalability of systems & architecture

⚡ Develop your EQ, BQ, and SQ to complement your IQ for effective communication

⚡ Conway's Law & Team Topologies: Exploring the relationship between organizational structures and software and data architecture

⚡ Roles, Skills, and Work Methods: Defining roles, skill sets, and ways of working for successful teams


+ Live Q&A with Sol and Joe

Who this course is for ...

01

Practitioners


Data scientists, analysts, data engineers, architects, developers, etc who are interested in progressing in their career

02

Team Leads & Managers


Who want to learn the skills needed to 'level up' and learn what it takes to rise to VP and C-Level positions

03

Entrepreneurs


Who want to learn how to scale their business, attract investors, grow & manage teams

What you’ll get out of this course

Learn the difference between Leading vs. Contributing and what the transition requires.

How do you pivot from getting guidance and being led to setting the direction and motivating others towards achieving common goals, establishing a vision, strategy, business case, and with the ability to inspire. Its more difficult than you think!

Learn to develop your EQ, BQ, and SQ to compliment your IQ

To help you become impactful with your presence, your communication, and develop a strong network of trusted advisors, peers, teammates, investors, leaders, and more.

How to scale your Organizational Architecture, Data Architecture, Software and Systems.

Exploring the relationship between organizational structures and software and data architecture and how the 2 go hand in hand to scale your operations.

Frameworks for Roles, Skills, and Working Methods

Learn about the different roles, skills, and work methods needed to lead and scale and the various ways of working successful teams.

Eliminate the frustration that comes with being a Data & AI Practitioner

Learn how to communicate what we do into business jargon to avoid being misunderstood or not being heard, get stakeholder support to launch your idea, learn

This course includes

3 interactive live sessions

Lifetime access to course materials

29 in-depth lessons

Direct access to instructor

2 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Week 1

    Jun 17—Jun 20

    Week dates are set to instructor's time zone

    Events

    • Jun

      17

      The Impact of The Organization on Data Architecture & Systems, Practical Frameworks for Strategy & Articulating Value

      Mon, Jun 17, 10:30 PM - 12:30 AM UTC

    • Jun

      18

      Leader vs. Contributor: Embracing the Mindset Shift, Essential Skills for Leading a Data Team

      Tue, Jun 18, 10:30 PM - 12:30 AM UTC

    • Jun

      20

      Bringing it Together - The Transition From Practitioner to C-Level

      Thu, Jun 20, 10:30 PM - 12:30 AM UTC

    Modules

    • Leader vs. Contributor: Embracing the Mindset Shift

    • Practical Frameworks for Strategy & Articulating Value

    • The Impact of The Organization on Data Architecture & Systems

    • Bringing it Together - The Transition From Practitioner to C-Level

Meet your instructors

Sol Rashidi

Sol Rashidi

Former CDO, CAO, CDAO, and CAIO.

With 8 patents, and named Forbes 'AI Maverick of the 21st Century' , 'CAO of the year', 'CDO of the year', 'Top 100 Innovators in Data & Analytics', and 'Top 100 AI Thought Leaders' , Sol Rashidi is an esteemed executive, leader, and influencer within the AI, Data, and Technology space. Having helped IBM launch Watson in 2011 as one of the earliest world applications of Artificial Intelligence (AI), Sol was the 1st 'Chief Data & AI Officer' appointed back in 2016, has held over 4 C-Suite positions across Fortune 100’s, and has been at the forefront of ideation & development of Data & AI applications.

Joe Reis

Joe Reis

Data Practitioner, Author, "Recovering Data Scientist"

Joe Reis, a "recovering data scientist" with 20 years in the data industry, is the co-author of the best-selling O'Reilly book, "Fundamentals of Data Engineering." His extensive experience encompasses IC and leadership roles in data engineering, software engineering, data architecture, machine learning, and more. Joe also holds 2 patents. In his free time, Joe speaks around the world, hosts popular data podcasts, and writes new books and articles to push the data industry forward.

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Join an upcoming cohort

Transition from Data & AI Practitioner to Executive

Cohort 1

$748 USD

Dates

June 17—20, 2024

Payment Deadline

June 14, 2024
|

Bulk purchases

Course schedule

6+ hours
  • Monday, Tuesday, Thursday

    6:30pm - 8:30pm EST

    We will meet for one week, 2 hours a night, for three nights.

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
How does this differ from Joe and Sol's books and online content?
A pattern of wavy dots
Join an upcoming cohort

Transition from Data & AI Practitioner to Executive

Cohort 1

$748 USD

Dates

June 17—20, 2024

Payment Deadline

June 14, 2024
|

Bulk purchases

$748 USD

4 Days