Business Development Leader, Digital Manufacturing & Data Services

R.E. Mason

$110K — $130K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in engineering, computer science, information systems, business, or related discipline
  • Demonstrated history of success in business development, consulting, or enterprise solution sales
  • Experience with MES/MOM platforms and industrial data architectures
  • Proficiency in Microsoft 365 and Copilot tools
  • Excellent communication skills, including presentation and writing abilities
  • Ability to navigate complex sales cycles across multiple stakeholders
  • US Citizenship required

Responsibilities

  • Identify and develop new digital manufacturing opportunities
  • Lead customer discussions on operational efficiency and digital transformation
  • Help customers define strategies for MES/MOM and industrial data infrastructure
  • Build business cases and executive presentations linking technology to operational outcomes
  • Partner with technical teams to create solution proposals and implementation roadmaps
  • Develop go-to-market messaging and sales tools for the commercial organization
  • Collaborate across software ecosystems to deliver customer solutions

Benefits

  • Flexible work environment with collaborative culture
  • Access to advanced manufacturing and data technologies
  • Opportunity to work with diverse industrial clients
  • Professional growth and development resources
  • Recognition for innovation in digital transformation
Full Job Description






General Description

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.

Specific Responsibilities

What You'll Be Working On
  • 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

Problems You'll Help Customers Solve
  • 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

Technologies & Platforms You'll Touch

This role is platform-flexible and supplier-agnostic. You may work with technologies including:
  • Manufacturing Execution Systems (MES)
  • Manufacturing Operations Management (MOM)
  • Industrial data platforms and historians
  • Cloud and hybrid data architectures
  • Data engineering and analytics tools
  • Industrial AI and machine learning applications
  • Operational technology (OT) and plant-floor systems
  • Enterprise manufacturing software ecosystems

What Success Looks Like
  • Building a strong pipeline of qualified digital manufacturing opportunities
  • Expanding strategic relationships with industrial customers and technology partners
  • Helping customers move from ideas to funded digital transformation initiatives
  • Driving profitable growth across software and services offerings
  • Creating repeatable sales strategies, use cases, and value messaging that scale across the organization
  • Becoming a trusted advisor for manufacturing modernization and industrial data strategy

Who You Are
  • Experienced in business development, solution selling, or consulting within industrial automation, manufacturing software, or digital transformation
  • Comfortable engaging with plant leadership, operations teams, IT stakeholders, and executive decision-makers
  • Able to translate technical capabilities into operational and financial business value
  • Collaborative, self-directed, and effective in team-selling environments
  • Curious about emerging manufacturing technologies, analytics, and Industrial AI applications
  • Skilled at navigating complex sales cycles and shaping large strategic opportunities

Experiences You'll Need To Draw From

Experience in one or more of the following areas is highly valued:
  • MES/MOM platforms
  • Industrial automation or controls
  • Manufacturing data infrastructure
  • Data analytics or visualization
  • Cloud-based industrial solutions
  • Digital transformation consulting
  • Industrial AI or advanced analytics applications


Qualifications

Required Competencies
  • Microsoft 365 (Word, Excel, PowerPoint, Outlook, OneNote, Teams, SharePoint) and Copilot Proficiency
  • Strong strategic thinking combined with practical execution skills
  • Customer-focused and outcomes-oriented mindset
  • Ability to engage, influence, and present to senior-level customer stakeholders
  • Self-directed, detail-oriented, and comfortable operating across ambiguity
  • Effective both as an individual contributor and a team collaborator
  • Excellent written, verbal, and presentation communication skills
  • US Citizenship required
  • Fluent in English (written and spoken)

Required Education and Experience
  • Bachelor's degree in engineering, computer science, information systems, business, or related discipline
  • Demonstrated history of success in business development, consulting, or enterprise solution sales
  • Experience selling or delivering one or more of the following: MES / MOM platforms; Industrial data architectures and historians; Data engineering, analytics, reporting, or AI/ML solutions; Industrial software, automation, or digital transformation initiatives

Preferred Experience/Competencies
  • Demonstrated success in solution selling of software and services, ideally within industrial or manufacturing environments
  • Ability to operate effectively across a multi-partner, multi-technology ecosystem
  • Prior exposure to regulated or complex manufacturing environments (e.g., Life Sciences, Chemical, Food & Beverage, Energy)

Physical Requirements
  • Standing
  • Walking
  • Sitting
  • Kneeling
  • Reaching Overhead
  • Climbing
  • Pushing and Pulling
  • Lifting - 30 pounds
  • Using a Computer
  • Using a Telephone
  • Driving

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