Plant Manager

Position Overview :

We are seeking an experienced Plant Manager with deep expertise in pulp and paper manufacturing operations to serve as a Subject Matter Expert (SME) supporting an AI-driven process optimization engagement with a leading paper manufacturer. This is a fractional or project-based role focused on bridging operational expertise with advanced analytics and machine learning initiatives.

Key Responsibilities

Guide AI/ML feature engineering and data collection strategy based on operational priorities and process physics

Validate model outputs and recommendations for operational feasibility and business impact

Translate business objectives (energy efficiency, chemical optimization, quality improvement) into measurable process parameters and KPIs

Support hypothesis development and testing around process improvement opportunities

Identify and explain process interdependencies that affect model accuracy and real-world implementation

Provide domain context for model interpretation—why certain patterns matter operationally

Advise on data quality issues, anomalies, and their root causes

Support pilot implementation, change management, and operational rollout planning

Participate in stakeholder discussions with plant operations teams and C-suite

Required Qualifications

15+ years of hands-on experience in pulp and/or paper manufacturing operations

Proven experience as a Plant Manager, Operations Director, or equivalent leadership role at a paper/pulp mill

Deep knowledge of paper production processes: pulping (chemical/mechanical), paper machine operations, drying, coating

Strong understanding of energy management, chemical consumption optimization, and process control in paper mills

Familiarity with SCADA systems, DCS (Distributed Control Systems), and mill instrumentation

Track record of driving operational efficiency improvements (cost reduction, yield improvement, energy savings)

Experience working with data analytics teams or process improvement initiatives (Six Sigma, Lean, etc.)

Ability to communicate complex operational concepts to non-technical audiences (data scientists, executives)

Strong analytical and problem-solving skills with comfort working in ambiguous, evolving situations

Preferred Qualifications

Experience with AI/ML applications or data analytics projects in manufacturing

Background in kraft paper, specialty paper, or corrugating paper production

Knowledge of agro-waste based pulping (bagasse, straw) or sustainability-focused operations

Experience at paper mills in India or South Asia

Prior work with external consulting firms or technology partners on operational transformation

Basic understanding of statistics, predictive modeling concepts, or optimization