Vice President, Artificial Intelligence & Automation

Patrick Industries•Elkhart, IN

1d•Onsite

About The Position

Patrick Industries, a publicly traded company headquartered in Elkhart, Indiana, invites you to join a team of dedicated Team Members who are passionate about delivering high-quality products and exceptional customer service. As a leading solutions provider serving a diverse range of markets across the United States, our commitment to innovation, quality, and sustainability has positioned us as a high growth, diversified and empowered Team of more than 10,000! Your adventure awaits! Reporting to the CIO, the Vice President of AI & Automation is responsible for governing, prioritizing, and delivering enterprise AI and automation initiatives that drive measurable business value across Patrick Industries. This role serves as the execution engine behind the enterprise AI strategy, translating prioritized use cases into scalable, production-grade solutions through a DevOps-enabled, agile delivery model.The VP will operate at the intersection of business and technology—ensuring full lifecycle accountability from intake and prioritization through build, deployment, and scaled adoption. This leader will drive traceability from AI use cases to defined KPIs, business outcomes, and alignment to Patrick’s IT Strategic Pillars: Innovative Advantage – Scale AI-driven capabilities and enable new business value Value Optimization – Ensure measurable ROI, efficiency gains, and cost discipline Agility & Efficiency – Enable rapid, iterative delivery through modern DevOps practices Resilient Operations – Maintain secure, stable, and governed AI solutions

Requirements

Proven executive leadership in AI, automation, advanced analytics, or digital product delivery
Strong experience operating DevOps and agile delivery models at enterprise scale
Demonstrated track record of delivering measurable business value tied to technology initiatives
Experience working within federated or decentralized business environments
Ability to lead cross-functional teams and influence senior business stakeholders
Balances governance and execution speed, aligning to Agility & Efficiency pillar
Strong technical foundation in AI/ML, data platforms, cloud architectures, and DevOps practices
Deep understanding of enterprise governance disciplines including security, data, and architecture (Resilient Operations)
Relentless focus on ROI, KPI alignment, and business outcomes (Value Optimization)
Ability to scale solutions from pilot to enterprise-wide deployment (Innovative Advantage)
Executive communication skills with ability to engage C-suite and Board-level stakeholders
The ability to set clear and challenging goals while committing the organization to improved performance; tenacious and accountable in driving results.
Comfortable with ambiguity and uncertainty; the ability to adapt nimbly and lead others through complex situations.
An accountable risk-taker who seeks new perspectives, data and input from others to foresee possible threats or unintended circumstances from decisions; someone who takes smart risks.
A leader who is viewed by others as having a high degree of integrity and forethought in his/her approach to making decisions; the ability to act in a transparent and consistent manner while always considering what is best for the organization.
Leads by example; demonstrating Patrick’s principles of effective leadership; Leading for Positive Influence and culture, Leading with Humility, Embracing Responsibility, Communicating with Excellence, Leading with Accurate and Social Awareness, Builds Healthy Accountability and is a Servant Leader.
Supreme diplomat who promotes healthy debate on issues with goal of “win-win” value add outcomes.
Proven ability to inspire teams with an approachable style and creates confidence within the team.
A leader who thrives in a relatively undefined, “zero to one” environment and unafraid to “roll up sleeves” in a wide-ranging set of topics, projects, and deliverables.
Passionate about building relationships with people with encouragement and professionalism.
Gains understanding of challenges and empowers individuals and teams to find solutions.
Self-reflective and aware of his/her own limitations; and drives team performance with an attitude of continuous improvement by being open to feedback and self-improvement.
Naturally connects and builds strong relationships with internal stakeholders, and others, demonstrating strong emotional intelligence and an ability to communicate clearly and persuasively.
An ability to inspire trust and followership in others through compelling business understanding and track record of providing innovative solutions.
Notable global business understanding and developed relationships across industries and technologies.

Responsibilities

Lead end-to-end execution of the enterprise AI portfolio, ensuring delivery of prioritized use cases aligned to business objectives and strategic pillars
Translate AI Executive Steering Committee priorities into executable roadmaps, product backlogs, and delivery plans
Establish and operate a DevOps-based AI delivery model, including CI/CD pipelines, model deployment, monitoring, and continuous improvement
Drive agile product delivery practices with rapid iteration cycles focused on measurable business outcomes
Ensure all AI initiatives meet enterprise governance standards across security, data, architecture, and compliance (Resilient Operations)
Own full lifecycle value realization for AI initiatives—defining KPIs, tracking performance, and ensuring achievement of targeted business outcomes (Value Optimization)
Create and maintain traceability from use case → KPI → financial/operational impact → strategic pillar alignment
Partner with business leaders to quantify benefits, prioritize investments, and ensure accountability for results
Design and scale reusable AI platforms, pipelines, and automation capabilities to accelerate enterprise adoption (Innovative Advantage)
Drive standardization of delivery frameworks, playbooks, and engineering practices to enable repeatable success across business units
Lead cross-functional teams spanning data, engineering, automation, and business stakeholders in a federated operating model
Enable rapid execution while maintaining governance discipline—balancing speed with enterprise standards (Agility & Efficiency)
Scale successful AI use cases across business units, ensuring adoption, sustainability, and measurable impact
Serve as the primary bridge between business demand and technical execution, ensuring clarity, prioritization, and alignment