Performance-based Job Description

A New Standard for Defining What Success Looks Like

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Texas Instruments
Example PBJD

Factory Solutions Manager

📍 Dallas, TX
💼 Full-time
🏭 Manufacturing Technology

🎯 What Makes This Different?

Unlike traditional job descriptions that list requirements and responsibilities, this performance-based job description focuses on:

Role Overview

As the Factory Solutions Manager, you will lead the strategy, execution, and continuous improvement of Texas Instruments' 300mm Fab IT organizations. This role is critical to the success of our manufacturing operations, requiring you to synergize software, data analytics, automation, and IT infrastructure to deliver world-class fab performance.

You will translate complex technology investments into clear business outcomes while building an innovative and collaborative engineering culture. You will directly influence the implementation of emerging Data, AI/ML, MES, and automation technologies across multiple connected fabs. The environment is high-tech, collaborative, and demands disciplined leadership with a focus on zero disruption and operational excellence.

Why This Opportunity Matters

Purpose

Drive technological transformation at scale within a global semiconductor leader committed to shaping the future of electronics manufacturing.

Growth

Lead a multi-fab digitalization roadmap, mentor cross-functional teams, and expand your impact by building enterprise-grade solutions for real-time factory operations.

Motivators

Innovate at the intersection of advanced manufacturing, data science, and automation while fostering a culture of excellence, accountability, and continuous learning.

Major Performance Objectives

These are the key deliverables that will define success in this role:

1 Develop and Implement 300mm Fab Technology Roadmap

Timeline: Within the first 12 months

Design, refine, and execute a robust technology roadmap that integrates emerging software, data analytics, and automation solutions to maximize fab efficiency and quality. This includes aligning investment decisions with long-term manufacturing strategies, ensuring total cost of ownership is optimized, and leveraging AI/ML capabilities to deliver measurable business improvements.

2 Elevate IT Operations and Security Standards Across Fabs

Timeline: In the first 6–9 months

Lead multiple fab IT teams to standardize and elevate execution quality, enforce world-class security policies, and embed proactive quality control practices. Implement robust fault detection, statistical process control, and predictive maintenance systems, ensuring all systems achieve zero-disruption goals.

3 Build and Develop a Top-Tier Factory Solutions Engineering Organization

Timeline: By the end of the first year

Assess current capabilities, identify skill gaps, and develop a multi-year talent plan to attract, develop, and retain high-performing engineering teams. Foster a collaborative, innovative culture focused on operational excellence and scalable technology solutions that directly contribute to manufacturing success.

Critical First-Year Subtasks

To achieve the major objectives, you'll need to complete these key milestones:

Conduct Comprehensive Operational Audit

First 60 days: Complete a detailed audit of existing fab IT infrastructure, processes, and security measures. Identify vulnerabilities and inefficiencies, propose short-term corrective actions, and prioritize areas for immediate improvement.

Deploy a 30-60-90 Day Action Plan for Quick Wins

Establish and execute a clear plan to stabilize operations, address urgent system performance issues, and ensure continuity of manufacturing execution systems with measurable early impacts.

Strengthen Cross-Functional Partnerships

First 90 days: Collaborate with manufacturing, engineering, quality, and business leaders to align IT initiatives with production goals. Develop communication channels and reporting systems to ensure transparency and timely decision-making.

Implement Advanced Factory Automation Solutions

Within six months: Lead the integration of fault detection and classification (FDC), SPC, dispatch, scheduling systems, and operator interfaces to enhance end-to-end automation. Use data-driven decision-making to improve yield and production throughput.

Define and Monitor Technical Performance KPIs

Establish clear metrics for system uptime, security compliance, software deployment success, and user adoption rates. Regularly review performance dashboards with stakeholders to ensure alignment with business targets.

Champion Digital Transformation Initiatives

Continuously identify opportunities to expand the use of data analytics, AI/ML, and automation to streamline manufacturing workflows, reduce cost per wafer, and increase predictive capability for production bottlenecks.

Continuously Evaluate and Integrate AI to Improve Performance

Within the first 90–180 days: Own the process of identifying how AI and automation tools can further enhance factory IT operations. Pilot new technologies that improve real-time data use, system reliability, and quality assurance, and develop plans for wider rollouts.

Culture and Situation Fit

You will thrive in Texas Instruments' fast-paced, innovative manufacturing environment, where collaboration across engineering, manufacturing, and IT is vital. The role demands a leader who embraces continuous improvement, champions best-in-class security, and motivates diverse technical teams to deliver exceptional results under high standards of quality and reliability.

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