Production Planning & Scheduling Manager (AI & Analytics Focus)
| Verified Pay check_circle | Provided by the employer$85000 - $100000 per year |
|---|---|
| Hours | Full-time |
| Location | Houston, Texas |
About this job
Job Description
Salary: $85,000 - $100,000 (DOE)
Location: Houston, TX 77073
Schedule: Monday – Friday | 7:00 AM – 4:00 PM
What You'll Do
- Develop and maintain an integrated production schedule across multiple active projects.
- Analyze production capacity, labor availability, machine utilization, and project priorities.
- Use AI-assisted scheduling tools to improve forecasting and production planning.
- Monitor planned vs. actual production hours and identify schedule risks.
- Build dashboards, reports, and performance metrics for leadership.
- Identify bottlenecks and recommend improvements to maximize productivity.
- Collaborate with Production, Engineering, Purchasing, Quality, and Project Management teams.
- Continuously improve forecasting accuracy and scheduling processes.
Required Qualifications
· Bachelor's degree in Statistics, Industrial Engineering, Operations Research, Data Analytics, Supply Chain, Manufacturing Analytics, or a related field
· Strong analytical and critical thinking skills
· Experience with production planning, forecasting, scheduling, operations analysis, or manufacturing analytics
· Experience using data to support operational decision-making
· Ability to interpret AI-generated recommendations while applying sound professional judgment
· Experience creating dashboards and management reports (Power BI, Excel, SQL, Python, or similar tools is highly preferred)
· Excellent communication and cross-functional collaboration skills
Knowledge of:
- Capacity analysis & workload forecasting
- Comparing planned, earned, actual, and remaining hours
- Identifying trends, bottlenecks, and schedule risks
- Measuring forecast accuracy
- Labor and machine utilization analysis
- Historical production data analysis
- Building dashboards and management reports
- Understanding AI-generated recommendations and recognizing unreliable results
- Using probability and uncertainty when estimating completion dates
- Experience with AI-assisted planning or scheduling tools
- Experience outside of steel fabrication is preferred, as we are looking for someone who can bring fresh analytical thinking and innovative approaches to production scheduling.
Benefits
· Health, Dental & Vision Insurance
· 401(k) with 3% company contribution
· 2 Weeks Accrued Vacation
· 8 Paid Holidays
If you're passionate about using AI, analytics, and data to improve manufacturing operations, we'd love to hear from you!