Industrial Planning Manager - Houston, TX (TCT)

Tenaris•Houston, TX

About The Position

The Industrial Planning Manager manages and controls industrial engineering for plants, including operating information management, preparation of operating and industrial cost budgets, monitoring compliance, and analyzing investment options. The role identifies best practices and improvement opportunities through continuous benchmarking across Tenaris plants and collaboration with Operations. The position analyzes business performance, market dynamics, industry trends, competitor activity, and customer developments to identify opportunities, risks, and improvements across commercial and industrial operations. It leads management control activities, monitors key performance indicators, costs, operating performance, and business results, and develops analyses, forecasts, and annual budgets integrating sales projections with production requirements, operating regimes, staffing needs, productivity targets, energy consumption, and manufacturing costs. The manager monitors monthly results against targets and budgets, works with relevant teams on corrective actions, and prepares management reports, dashboards, and performance analyses. The role also develops analytical tools and methodologies, evaluates industrial and business investments, supports reliable information flows, uses emerging technologies and analytical tools, and leads continuous improvement groups to improve manufacturing processes, increase capacity, and reduce production costs.

Requirements

Bachelor’s degree or foreign equivalent in Industrial Engineering, Mechanical Engineering, or a closely related field.
Six years of experience in a related occupation in the steel-pipe manufacturing industry.
Experience conducting time studies on steel pipe and oil country tubular goods (OCTG) products to assess manufacturing line capabilities and establish standard productivity metrics.
Experience identifying cycle-time optimization and resource-utilization improvements.
Experience managing KPIs and performing data analytics using analytical tools to monitor and improve operational performance.
Experience ensuring data accuracy across data pipelines.
Experience defining annual industrial production budgets and setting performance commitments.
Experience leading continuous improvements using Lean, Six Sigma, Kaizen, or Agile methods, including planning scope, milestones, and deliverables.
Experience maintaining project dashboards and databases.
Experience developing labor-utilization forecasting models.

Responsibilities

Analyze business performance, market dynamics, industry trends, competitor activity, and customer developments to identify opportunities, risks, and areas for improvement across commercial and industrial operations.
Lead management control activities and monitor commercial and industrial KPIs, costs, operational performance, and business results to support management decisions.
Develop analyses, forecasts, and annual budgets that integrate sales projections with production requirements, operating regimes, headcount needs, productivity targets, energy consumption, and manufacturing costs.
Monitor monthly performance against targets and budgets, identify deviations, and work with commercial, production, maintenance, and other teams to define corrective actions and improvement plans.
Prepare and present management reports, dashboards, and performance analyses, translating market, financial, and operational information into conclusions, business implications, and recommended actions.
Develop analytical tools, models, and methodologies to improve competitiveness, optimize costs, increase capacity and productivity, and enhance business performance.
Evaluate business and industrial investment opportunities, assessing technical and economic feasibility, expected benefits, cost implications, and return on investment.
Ensure the quality, consistency, and reliability of business information and data flows, including information exchanged across industrial and commercial systems, in accordance with company management guidelines.
Use emerging technologies and advanced analytical tools to improve forecasting, performance monitoring, decision support, and identification of commercial and operational improvement opportunities.
Lead continuous improvement groups to improve manufacturing processes, increase capacity, and reduce production costs.