Normally when defining their data governance model's roles, companies have been using the same "standard" roles for a long time (since the "boom" of Data Governance a few years ago). Many of them (probably a vast majority) have been struggling since the very moment they "implemented" (put into operations) that model and those roles.

Why? There are many reasons:

• There is no single formula that fits all.
• Each company, as each person, has its own character(istics).
• Roles evolve (like people/companies), and they were once defined as static, normally.
• Short-term necessity vs. long-term vision. 

Speaker: Moises Dueñas

After some years as a management consultant, Moises landed in Peru at Alicorp (a huge CPG company; 11k+ employees and 10+ countries) where Moises was offered to create from scratch the Data Management area of the company, and this is where the story begins.

Moises is passionate about people, organizations, and data, of course. He truly believes that any digital transformation or data analytics journey must have the people at the very center and not technology as companies normally do. Now, after launching from scratch and leading by +2yrs the Data Management Consultancy practice at Keepler, Moisés joined the Data & Analytics EY Europe West team with the aim of adding a new point of view, people and data-centered, to a one of the largest professional services firms in the world.