Sr Director, AI Enablement

Job Overview

The Senior Director, AI Enablement is the enterprise leader responsible for defining the IT organization's AI strategy and ensuring the corporate IT ecosystem is fully prepared to adopt AI securely, reliably, and at scale. This role integrates AI into infrastructure, ERP systems, homegrown applications, cloud platforms, legacy environments, and enterprise data ecosystems, and is responsible for establishing the AI vision, building the IT AI roadmap, modernizing foundational systems, and partnering across IT domains to embed AI capabilities into the core technology fabric supporting global manufacturing and supply chain operations.

Responsibilities

Enterprise AI Strategy & Roadmap

Define the enterprise AI strategy aligned with corporate IT, digital transformation, and global manufacturing priorities.

Develop a multi-year roadmap for AI readiness across infrastructure, ERP, integrations, cloud, security, and data platforms.

Evaluate emerging AI technologies and determine strategic applicability within enterprise IT.

Establish prioritization frameworks for AI initiatives across IT domains.

AI Enablement & Architecture Leadership

Lead the design and evolution of enterprise AI enablement capabilities, including MLOps/LLMOps/ModelOps, agentic AI orchestration, RAG frameworks, real-time inference pipelines, and observability, reliability, and evaluation tooling.

Define enterprise reference architectures, reusable services, shared APIs, and integration patterns for AI adoption across IT.

Ensure platforms meet enterprise standards for scalability, security, interoperability, and operational resilience.

ERP, EAI, Legacy Systems & Application Modernization

Partner with ERP teams to embed AI into core modules supporting manufacturing, supply chain, finance, HR, and operations.

Modernize legacy applications and integration frameworks to support AI agents, copilots, and intelligent automation.

Define enterprise integration standards for connecting AI systems to APIs, middleware, event streams, and EAI platforms.

Ensure seamless AI interoperability across MES, WMS, TMS, PLM, CRM, and custom-built applications.

Infrastructure, Cloud & Security Alignment

Collaborate with Infrastructure and Cloud teams to optimize compute, storage, networking, and platform services for AI workloads.

Drive modernization of AI adoption in hybrid and multi-cloud environments.

Partner with Cybersecurity to embed responsible AI, identity, access, and data protection controls into AI engineering workflows.

Ensure AI systems meet enterprise requirements for reliability, disaster recovery, and operational continuity.

Enterprise Data Platforms & Database Strategy

Oversee AI readiness across enterprise data platforms, including Snowflake, Databricks, data lakes, and legacy databases.

Ensure data governance, lineage, quality, and access controls support enterprise AI workloads.

Drive development of governed data products, feature pipelines, semantic layers, and real-time data flows.

Governance, Risk & Responsible AI

Establish enterprise-wide AI governance frameworks covering responsible AI, model risk, compliance, and security.

Define policies for vendor evaluation, model usage, data access, and AI safety across IT systems.

Ensure all AI solutions adhere to regulatory, audit, and enterprise compliance requirements.

Leadership & Organizational Enablement

Build and lead a high-performing AI strategy and enablement organization, including AI architects, platform engineers, integration specialists, and automation engineers.

Drive AI literacy and adoption across IT through structured training, communication, and enablement programs.

Influence senior IT leaders and challenge architectural decisions with clear trade-offs across scalability, risk, performance, cost, and reliability.

Serve as a strategic advisor to executive leadership on AI readiness, modernization, and enterprise technology evolution.

WHO YOU ARE (Qualifications)

Required Skills / Qualifications / Certifications / Tech Stack (List all)

Essential 

Bachelor's degree in computer science, Engineering, Information Systems, or a related field.

15+ years of progressive leadership across enterprise IT, infrastructure, ERP, integrations, cloud platforms, and data ecosystems.

10+ years leading large-scale engineering, platform, or architecture teams within complex enterprise environments.

Proven experience delivering production-grade AI solutions integrated with enterprise IT systems.

Demonstrated success modernizing legacy systems and leading enterprise-scale digital or AI transformation initiatives.

Deep knowledge of AI architecture, Generative AI, agentic AI, RAG, and MLOps/LLMOps/ModelOps.

Strong understanding of ERP ecosystems and enterprise integration frameworks.

Expertise with legacy systems modernization and hybrid cloud environments.

Strong grounding in Infrastructure, Cybersecurity, Identity, Observability, and Cloud-native architecture.

Experience with databases including Oracle, SQL Server, DB2, Snowflake, and other modern data platforms.

Exceptional executive presence with the ability to influence C-suite stakeholders.

Strong communication skills with the ability to translate complex technical concepts into business-aligned outcomes.

Demonstrated ability to lead cross-functional teams and drive enterprise-wide technology adoption.

Preferable

Outcomes and Deliverables

Deliverables 

Enterprise AI strategy and multi-year roadmap covering infrastructure, ERP, integrations, cloud, security, and data platforms.

Enterprise AI reference architectures, reusable services, and governance frameworks (responsible AI, model risk, compliance, and security).

AI-enabled modernization plans for ERP, legacy applications, and enterprise integration platforms.

Outcomes

IT organization is prepared to adopt AI securely, reliably, and at scale across enterprise systems.

AI capabilities embedded into core technology fabric supporting global manufacturing and supply chain operations.

High-performing AI strategy and enablement team established, with increased AI literacy and adoption across IT.

Physical Demands: Primarily sedentary office work; requires prolonged periods of sitting and computer use, occasional travel to meet with stakeholders, and the ability to communicate effectively in person, by phone, and virtually.

Work Environment: Primarily works in a standard indoor office or remote/home-office setting with climate-controlled conditions; may require occasional travel to corporate, plant, or vendor sites to support enterprise initiatives; work is performed largely through virtual collaboration tools given the cross-functional and global nature of the role.The base compensation range for this position is $200,900, to $274,500 per annum. Your actual base salary will be determined based upon numerous factors which may include relevant experience, skills, location (labor market data), credentials (education, certifications), and internal equity.

For this specific role, you may be eligible to participate in an annual bonus plan. 

Vontier partners with you and your family on your health and wellness journey. Visit VontierBenefits.com to view our benefits. We offer a premium suite of health and wellness programs for you and your family, including medical, dental, vision, disability and life insurance. With programs for family planning from Maven Clinic to managing diabetes like Livongo, coverage for women's health, support for adult and elder care, paid parental leave, a generous 401(k) plan with matching company contributions, and more. Vontier is here for all stages of life. We also offer paid time off up to 15 days, 13 paid holidays (including 3 floating holidays) per year and paid sick leave.*

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Sick leave amount may vary based on state or local laws applicable to the applicant’s geographic location. The Company reserves the right to modify this information at any time, subject to applicable law. 

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