Jobs · Business Development · North Carolina

Business Development Leader, Digital Manufacturing & Data Services

R.E. Mason · Raleigh, NC · 1 mo ago
On-siteBusiness DevelopmentFull-time

About the role

We’re looking for a commercially driven leader who can help manufacturers modernize operations through digital transformation, industrial data, and advanced software solutions. This role sits at the intersection of manufacturing, technology, and business strategy. You’ll work directly with industrial customers to uncover operational challenges, shape high-value digital solutions, and drive growth across services such as MES/MOM, data platforms, analytics, and Industrial AI. You’ll collaborate closely with account managers, solution architects, practice leaders, and delivery teams to turn complex operational problems into measurable business outcomes.

Responsibilities

  • Identifying and developing new opportunities in digital manufacturing and industrial data services
  • Leading customer conversations around operational efficiency, production visibility, quality, downtime reduction, and digital transformation
  • Helping customers define strategies for MES/MOM, industrial data infrastructure, analytics, and AI-enabled operations
  • Building business cases, ROI narratives, and executive presentations that connect technology investments to operational outcomes
  • Partnering with technical teams to shape solution concepts, proposals, pilots, and implementation roadmaps
  • Developing go-to-market messaging, customer success stories, and reusable sales tools for the broader commercial organization
  • Working across multiple software ecosystems and technology partners to deliver best-fit customer solutions
  • Limited visibility into plant performance and production data
  • Disconnected manufacturing systems and siloed operational data
  • Manual reporting and inefficient decision-making processes
  • Downtime, quality, throughput, and OEE challenges
  • Difficulty scaling digital manufacturing initiatives across facilities
  • Lack of actionable insights from industrial data
  • Identifying practical and scalable Industrial AI use cases
  • Aligning operational technology investments with measurable business value

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