Business & Product Operations

I turn strategy into execution.

Strategic Planning & AnalyticsForecasting & Cost ModelingAI-Enabled Operations

For 11+ years inside a global product organization, I have built the cost models, analytical frameworks, and executive dashboards leaders rely on to forecast revenue, manage risk, and steer multi-million-dollar portfolios. I turn complex, cross-functional problems into clear decisions.

Worcester, MAOpen to remote, hybrid, or relocation.

Portrait of Nicolas Dupuis

Why me

Three strengths, and the evidence behind them.

01

I turn ambiguity into decisions.

I partner with senior product and business-unit leadership as the analyst and operator behind their decisions. I own the executive dashboards and financial reporting they rely on to forecast, prioritize, and manage risk, and I turn ambiguity into decision-ready recommendations through influence, not authority.

Portfolio dashboards three leadership tiers depend on. A $28M problem I framed, analyzed, and helped resolve with executive leadership.

02

I understand how products get built.

11+ years inside a global hardware product organization, and an engineer by training. I have run new-product launches end to end and built the governance that lets programs move faster. I speak product and operations fluently, and translate between them.

A $15M product forecast. The full concept-to-launch lifecycle. Governance and SOPs that compressed time-to-market.

03

AI is how I already work.

I use Microsoft Copilot every day across Microsoft Fabric, Excel, and Power BI to synthesize signals and accelerate analysis, and I work across frontier models like Claude and Gemini to stay fluent as the tools evolve. Beyond the tools, I have a point of view on where this goes: AI that sharpens executive decision support, models portfolio tradeoffs, and surfaces roadmap risk earlier.

This site is one small proof that I build with AI and ship.

Selected work

The substance, stated plainly.

Built from scratch

Cost-modeling tool

A forecasting tool I built and own end to end. It projects the budget impact of rising component costs and how supplier shortages stretch lead times and push fulfillment to higher future prices, giving leadership advance visibility into financial risk before it materializes.

$10Ks saved per order

Order-prioritization program

I drive a program that ranks product orders by forecasted cost impact and material availability, pulling the highest-impact orders earlier ahead of industry-wide RAM and SSD cost spikes. It saves thousands to tens of thousands of dollars per order.

$28M

Inventory surplus, de-risked

I framed an ambiguous, high-stakes problem into a clear plan, ran the analysis, surfaced the risk early, and partnered with executive leadership on the mitigation they adopted to limit financial exposure.

$15M

New-product launches

I drove a new enterprise networking product forecast to $15M in annual revenue over its first three years, coordinating engineering, supply, and go-to-market to hit the release date, and led cross-functional teams through the full concept-to-launch lifecycle.

On AI

How I would put AI to work.

Using AI well is already how I work. The larger opportunity is to build it into the operating model, not just use the tools.

  • Reporting that maintains itself. Dashboards and pre-reads that update and summarize themselves, so the cadence runs on signal instead of manual assembly.
  • Plans that stay current. Priorities, trackers, and strategy docs kept legible and up to date automatically, so leadership always sees the real picture.
  • Risk, surfaced earlier. Synthesizing inputs across a large, distributed organization to flag misalignment between strategy, plans, and resourcing before it escalates.

And the site you are reading. Each one solves a real problem for a real person.