Talent Strategy for Enabling AI and Digital Transformation in your Enterprise.

In this talk we shall discuss what are the key roles which are required for implementing your AI and Data Strategy and if your company is planning to implement a large scale digital transformation projects. This session will be divided into four major parts:

Importance of defining Roles and Responsibilities
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We shall start by addressing why it is important to define roles for your organization considering talent shortage, niche technology and evolving landscape of roles for implementing AI and Data Strategy.
What are the Key Roles and Responsibilities
After discussing the importance of roles and responsibilities, we shall discuss the what are the key roles and responsibilities such as Data Analyst, Data Engineer, BI Engineer, Data Architect, Solution Architect, DevOps Engineer, MLOps Engineer, Data Scientist, Data Strategy Lead, Citizen Data Scientist, Data Testers , Chief Data Officer etc. In this we shall discuss what are the horizontal and vertical roles for e.g. Architect role should be an horizontal role with an eye on End to End data pipeline and ML pipeline ensuring security and guiding principle related to enterprise as well as best practices related to tools and frameworks leveraged in the project are followed. “Data Strategy Lead” is another horizont role which ensures there is end to end view of data assets, mapping of business outcomes to use cases, analytics and data sources. Similarly, vertical roles are the ones with deep tech expertise such as Data Engineers who would be focussing their codes follow the functional requirements, etc.

Operating Model and how key roles (AI and Data roles) fit into Scale Agile
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Next, we shall discuss the operating model which one needs to keep in mind where we shall pick up scaled agile principles and how it could be used for running your large AI and Data teams. We discuss what are the common problems which you could face while running large teams and how scaled agile could be used to iron out many issues.

GEAR-UP framework for filling the right talent for your Teams
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Finally, we shall go through the “GEAR-UP” framework which you could leverage to get the right talent. Here we shall discuss “GE:Get Skills from the market” via hiring, “R:Re Skill your existing legacy database engineers” and “Up:UpSkill” your team on new technology such as AI and Big data.