EnerSys Names Navi Grewal Chief Digital, AI and Information Officer
EnerSys has appointed Navi Grewal to a newly combined executive role overseeing digital operations, AI and information management, signaling a structural bet that AI initiatives must be anchored to data governance rather than run as separate pilots.
EnerSys has named Navi Grewal as its new Chief Digital, AI and Information Officer, according to reporting on the appointment. The move creates a single executive mandate spanning digital operations, artificial intelligence, and information management at the company.
Details beyond the appointment itself remain limited in current reporting, with coverage so far focused on confirming the title and the scope it combines rather than on specific mandates, timelines, or strategic priorities Grewal will pursue.
Folding digital, AI and information leadership into one role signals that EnerSys is treating these three functions as inseparable rather than as parallel initiatives run by separate teams. That structural choice matters more than the hire itself: it suggests the company wants AI deployment and data governance decided by the same person who owns digital infrastructure, rather than negotiated across departmental lines.
For other organizations watching how enterprises are restructuring around AI, this is a useful data point. The emergence of combined "Digital, AI and Information" titles reflects a broader shift in how companies are organizing leadership to avoid AI initiatives becoming disconnected pilot projects, instead anchoring them to the same executive accountable for data quality and digital systems.
Titles are organizational signals before they are job descriptions, and this one is telling. Bundling AI under the same umbrella as information and digital infrastructure is an implicit admission that most AI failures are not model failures — they are data, governance and integration failures.
The real story here isn't the name on the door, it's the sequencing problem most companies get backwards: they hire a Chief AI Officer to chase use cases before anyone owns the information architecture those use cases depend on. A combined mandate like this one is a tacit correction — it puts the person accountable for data integrity in charge of AI ambition, not the other way around. Any leader restructuring around AI should ask the same question EnerSys appears to have asked: who owns the mess before anyone gets to own the model?