About the Role
We're looking for an AI & Data Consultant who has worked on the commercial side of a manufacturing business, helping sales, marketing, and aftermarket teams make better decisions with data and applied AI. This is a business-facing role, but a hands-on one: you'll partner with client stakeholders to improve how they forecast demand, grow aftermarket revenue, run and measure campaigns, and turn scattered sales and ERP data into usable insight, and you'll build demos that show them the art of the possible. What matters is that you understand the sales and revenue problem, know how data and AI can solve it, and can bring it to life for a client.
The background we have in mind is someone who has led or been second-in-command on a sales or revenue initiative inside (or for) a manufacturer, and brings a data-and-AI-first way of working. Industry can be any manufacturing segment: automotive, industrial, construction, consumer, or process.
What You'll Do
- Partner with client sales, marketing, and aftermarket leaders to identify where better data and AI can lift revenue, and shape those into clear, prioritized opportunities
- Lead work across the core focus areas: sales forecasting and demand planning, aftermarket and parts revenue analytics, campaign and effectiveness analysis, data management and reporting, and business partnering and insights
- Build working demos and prototypes that showcase the art of the possible and help clients see how a data/AI approach would work in their environment
- Translate messy commercial data (CRM, ERP, dealer, marketing, third-party) into a reliable foundation for forecasting, reporting, and decision-making
- Help clients improve lead management, campaign effectiveness, and forecasting accuracy using analytics and AI-augmented decision-making
- Build the business case: quantify the opportunity, define KPIs, and show the expected impact on sales and revenue
- Present findings, roadmaps, and recommendations to senior client and internal stakeholders
- Mentor analysts and consultants on commercial-data use cases and client delivery
What You Bring (Required)
- 5+ years in sales, revenue, marketing, or commercial analytics roles, gained in or serving a manufacturing business
- Direct experience with commercial use cases such as sales forecasting, demand planning, aftermarket/parts revenue, or campaign effectiveness
- Ability to build demos and prototypes that bring a use case to life, using GenAI tools, low-code/no-code platforms, notebooks, or BI tools
- Working knowledge of how sales and ERP data flows and how to turn it into reporting and insight
- Practical understanding of how AI and analytics apply to sales and marketing (forecasting, lead scoring, next-best-action, GenAI copilots for sales enablement)
- Strong stakeholder management and executive communication; able to explain a data/AI approach to a business audience
- Comfort building simple business cases and ROI justifications
- Bachelor's degree required
Preferred
- Experience in a specific manufacturing segment relevant to our clients (automotive, commercial vehicles, heavy equipment, industrial)
- Familiarity with common commercial and data platforms (CRM such as Salesforce or Dynamics; ERP such as SAP; cloud data/BI tools such as Snowflake, Databricks, or Power BI)
- Deeper hands-on experience with GenAI or analytics tooling for building richer prototypes
- Advanced degree in a business or quantitative field
What Success Looks Like
- Measurable improvement in a client's forecasting accuracy, campaign effectiveness, or aftermarket revenue within the first engagements
- Compelling demos and prototypes that move client conversations forward
- Strong client relationships that lead to repeat and expanded work
- Contribution to reusable frameworks and accelerators the practice can apply to future clients