AI & Data Pre-Sales Leader ? Manufacturing Sales & Revenue

Role: AI & Data Pre-Sales Leader - Manufacturing Sales & Revenue

Location:
Remote

Department: Manufacturing Sales
Level: Director/Senior Director

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

• Sales Forecasting & Demand Planning

• Aftermarket Revenue Analytics

• Campaign & Effectiveness Analysis

• Data Management & Reporting

• Business Partnering & Insights

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