Datamine leadership changes: workflow and interoperability takeaways for mine teams
Reviewed by Joe Ashwell

First reported on Australian Mining
30 Second Briefing
Datamine has appointed former KPMG and EY consultant Phil Ciezak as chief operating officer and long‑time mining software leader Anthony Cook as chief product officer to drive its integrated geology, planning and fleet management platforms. The move targets tighter linkage between Datamine’s mine planning, scheduling and ore control tools and its real‑time operational systems for drill‑and‑blast, haulage and processing. For engineers, this signals more emphasis on end‑to‑end data workflows, decision support and interoperability across existing Datamine deployments.
Technical Brief
- Executive changes are framed around “connected technology” and “operational excellence” rather than standalone point solutions.
- Focus on “better decisions” implies more emphasis on decision-support tooling than pure data capture or reporting.
Our Take
Datamine’s recent acquisitions of Mineware Africa and Mineware Consulting (March 2026) and its equity stake in Commit Works (May 2026) signal a push to integrate planning, execution and advisory under one umbrella, so strengthening the executive bench in Australia is likely about stitching these disparate platforms into a coherent global offering.
The 2026 upgrades to Datamine’s software suite and the CCLAS deployment at PT Hengjaya Mineralindo’s nickel operation in Indonesia both show the company moving deeper into end‑to‑end production and laboratory control, which typically demands leadership with both technical and enterprise‑software scaling experience rather than pure geology or mine‑planning backgrounds.
Within our 33 Software stories, Datamine appears frequently in Product and Projects‑tagged pieces, suggesting it is one of the more active vendors in rolling out new capabilities; leadership changes in Australia therefore matter for operators who rely on its tools as a de facto standard across multiple sites and regions.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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