With 25+ years of leadership in large, regulated financial institutions, I now partner with executives to deliver enterprise-scale technology and digital transformations end-to-end—from strategy and governance through execution to measurable business outcomes.
Through Perius, I serve as a trusted executive partner helping organizations adopt technology and AI with fit-for-purpose operating models, accountable decision-making, and performance frameworks—making progress measurable and sustainable.
Executive advisory that makes technology measurable and governable.
Executive-level advisory to shape operating models, governance, and decision rights that make IT measurable, controllable, and aligned with business outcomes.
Design and mature IT organizations that are scalable, accountable, and execution-ready—beyond org charts and role definitions.
Executive assessment of ITSM and SDLC to identify gaps, reduce delivery friction, and establish standards that improve reliability and speed.
Define performance and KPI architecture that improves transparency, accountability, and decision quality across IT and delivery.
Ongoing IT health checks and continuous improvement governance to keep operations stable, measurable, and constantly improving.
Controlled adoption of automation and AI with governance and value tracking—focused on measurable outcomes, not experimentation without control.
We work as an executive partner to help organizations adopt technology
and AI with governance, control, and measurable results.
We start by clarifying ownership, decision rights, and success
metrics—then design an operating model and governance cadence that
makes progress visible and manageable. We translate priorities into a
practical roadmap and stay involved through execution: reviewing KPIs,
closing gaps, building a continuous improvement backlog, and ensuring
adoption is controlled—not ad-hoc.
The goal is always the same: sustainable outcomes, not presentations
and slideware.
For executive conversations on technology strategy, governance, operating models, and AI adoption: