Sr. Manager – AI Strategy & Implementation
Location: Houston, TX
Reports To: Vice President – Process Excellence & Analytics
Role Summary
The Manager – AI Strategy & Implementation will own the full lifecycle of AI opportunity identification through value realization—championing initiatives that reduce manual effort, increase production and supply chain reliability, and unlock data-driven decision-making across the business.
This is not a heads-down model-building role; instead, you will serve as an AI product owner, strategist, and change-agent who bridges business needs with technical execution, secures leadership buy-in, and delivers measurable ROI.
Core Responsibilities
•AI & Automation Roadmap – Develop and maintain an AI roadmap aligned to business strategy, identifying high-value use cases in manufacturing, supply chain, distribution, field services, customer service, and other back-office functions.
•Opportunity Qualification – Rapidly assess ideas via structured frameworks (e.g., value vs. feasibility matrix, ROI & payback models, risk assessment) to prioritize the portfolio.
•Business Case Development – Build investment cases, clearly articulating financial and operational benefits, resource requirements, timelines, and success metrics.
•Stakeholder Engagement – Translate AI concepts for executives and functional audiences; champion change management.
•Program Execution – Lead cross-functional teams / vendors / SMEs through agile sprints—from proof-of-concept to scaled deployment.
•Governance & Standards – Establish frameworks for data quality and model monitoring, to ensure sustainable value capture.
•Value Tracking & Reporting – Define KPIs; build dashboards to quantify cost savings, and productivity gains.
Required Qualifications
•Bachelor’s degree in Engineering, Computer/Data Science, Business, or related field. Ph.D./Master’s/MBA preferred
•8+ years total experience in Industrial Manufacturing with at least 3 years leading analytics, digital, or automation programs.
•Proven track record translating AI/ML or advanced analytics projects into bottom-line results
•Familiarity with core AI methods (predictive maintenance, computer vision, NLP, generative AI, optimization) and common technology stacks (cloud platforms, data lakes, Machine Learning Operations).
•Demonstrated strength in financial modeling, ROI analysis, and portfolio management.
•Strong communication and stakeholder-management abilities from plant floor to VP level.
Working Conditions
•Occasional travel (~10%) to manufacturing plants, repair facilities, distribution centers, and customer sites.
•Hybrid office/field environment; must be comfortable with PPE requirements in operational areas.
Why Join Us?
•High Impact: Direct line of sight from initiative to EBITDA improvement and environmental performance.
•Executive Support: Role reports directly to VP Process Excellence & Analytics with BU-President level visibility
•Growth Opportunity: Shape the AI agenda for a BU investing significantly in transformation initiatives to drive step change in productivity
•Culture of Safety & Integrity: Work within a values-driven organization committed to safe, sustainable operations.