Role Purpose

The Division Digital Manager – Cables will lead the development, deployment, and scaling of digital solutions across North America cable manufacturing operations. This role is responsible for driving measurable improvements in productivity, yield, and operational efficiency through the application of advanced analytics, vision systems, machine learning, and process optimization.

In addition to leading project execution, this position will establish a structured digital intake and prioritization framework, enabling consistent identification, evaluation, and deployment of high-impact opportunities. The role will ensure solutions are designed for scalability across plants, integrated into existing systems, and adopted effectively by operations to deliver sustained business value.

The successful candidate will combine deep understanding of cable manufacturing processes with strong technical expertise and the ability to lead cross-functional teams in a matrixed environment.

Key Responsibilities

• Lead the design and implementation of digital solutions in: Advanced data analytics, Machine learning and AI-enabled workflows, Vision systems, and Process optimization and automation
• Ensure adherence to rigorous development methodologies (DMAIC, DESGN, MEE) to deliver robust, measurable, and sustainable outcomes
• Drive development of data-driven and prescriptive solutions, enabling improved decision-making and operational performance
• Coordinate and balance a portfolio of digital workstreams across plants and functional groups
• Ensure digital solutions are built on integrated, scalable data architectures, connecting shop-floor systems (PLC, SCADA, MES) to analytics platforms.
• Define and enforce standards for: Data pipelines and data quality, system integration and interoperability, and reusable digital components and platforms.

Responsibilities Cont.

Skills and Competencies:

Strong understanding of cable manufacturing processes and equipment, with ability to decompose processes into fundamental drivers of performance

• Advanced analytical capabilities using tools such as SQL, Databricks, and Python
• Experience with industrial systems including PLCs, SCADA (e.g., iFIX), and data historians
• Familiarity with vision systems (e.g., Cognex, Keyence) and machine learning applications in manufacturing
• Experience developing optimization or decision-support models preferred
• Strong knowledge of process improvement methodologies (DMAIC, DESGN, MEE)

Leadership & Problem-Solving:

• Proven ability to lead teams and deliver results in a matrixed organization
• Strong problem-solving and decision-making skills grounded in data and process understanding
• Demonstrated ability to influence without direct authority and drive cross-functional alignment
• Track record of delivering measurable operational improvements

Long Description

Analytical & Organizational Skills

• Ability to translate complex data into clear insights and actionable strategies
• Strong project management capabilities, including planning, tracking, and prioritization
• Skilled at aligning technical solutions with business objectives

Experiences/Education - Required

Qualifications

• Bachelor’s or master’s degree in engineering, Computer Science, Physics, or related technical field
• Minimum 8 years of experience in manufacturing, preferably within cable or similar process industries
• Proven experience leading digital, analytics, or process improvement initiatives
• Experience managing teams and delivering cross-functional projects
• Demonstrated success in driving productivity, yield, or cost improvements

Additional Information

• Travel Requirements: 20% or more, with occasional weekend/after-hours support for projects resolution.
• Work Schedule: 40 hours/week, with flexibility for additional hours as needed.