Director, Enterprise Data and AI Architecture
AI summary of the role
This role defines the enterprise data and AI architecture strategy for a global electrical solutions company pivoting into AI infrastructure.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Own the enterprise data and AI reference architecture and multi-year technology roadmap
- Lead architecture governance, defining standards, patterns, and decision authority across domains and acquired entities
- Architect end-to-end data solutions spanning ingestion, integration, storage, modeling, and consumption layers
- Define architecture for AI/ML including generative AI patterns (RAG, vector stores, agentic workflows) and embed responsible AI controls
What you’ll bring
- 12+ years in data engineering, data architecture, analytics, and enterprise or solution architecture
- 5+ years in an enterprise or solution architecture leadership role with ownership of enterprise-scale data, analytics, and AI solutions
- Hands-on experience architecting AI and machine learning solutions, including modern generative AI patterns, in production
- Proven track record delivering production-grade solutions across the modern data stack
Technologies
Snowflake · dbt · Matillion · Informatica · AWS · NIST AI Risk Management Framework · RAG · vector stores · agentic workflows · MDM
About nVent Electric
Global provider of electrical connection and protection solutions for industrial, commercial, and hyperscale data center infrastructure; rapidly expanding into liquid cooling and high-density power products for AI workloads.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
We’re looking for people who put their innovation to work to advance our success – and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions. WHAT YOU WILL EXPERIENCE IN THIS POSITION: As Director of Enterprise Data and AI Architecture at nVent, you will define the technical direction for how data and AI create value across the organization. You will shape our multi-year architecture strategy, enable enterprise reference architectures, and partner with executives to align technology investment with business priorities, while staying engaged in the technology to make sound, hands-on design decisions. This role demands architectural vision, deep technical expertise across the modern data, analytics, and AI stack, and the business acumen to translate complex data challenges into solutions that
More from the job description
We’re looking for people who put their innovation to work to advance our success – and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions. WHAT YOU WILL EXPERIENCE IN THIS POSITION: As Director of Enterprise Data and AI Architecture at nVent, you will define the technical direction for how data and AI create value across the organization. You will shape our multi-year architecture strategy, enable enterprise reference architectures, and partner with executives to align technology investment with business priorities, while staying engaged in the technology to make sound, hands-on design decisions. This role demands architectural vision, deep technical expertise across the modern data, analytics, and AI stack, and the business acumen to translate complex data challenges into solutions that deliver lasting value. You are a change agent with an enterprise architecture focus who will engage leadership stakeholders on our highest priority initiatives and business transformation programs. You will define the blueprint for how governed data flows to power decision-making and AI solutions across the organization, and you will set the architecture standards, principles, and governance that keep that blueprint coherent as our company scales and grows. Key Responsibilities: Enterprise Arc [... source excerpt omitted ...] oss the data platform ecosystem, partnering to evaluate emerging capabilities and plan platform investments Project Leadership: Lead complex data projects from discovery through production delivery, managing scope, dependencies, risks, and timelines Engage in M&A integration projects, designing data integration strategies, harmonization approaches, and migration plans that enable rapid time-to-value from acquisitions Manage multiple concurrent initiatives with competing priorities, maintaining quality and architectural integrity under delivery pressure Data Integration: Design and implement data integration patterns across batch, near-real-time, and streaming workloads connec [... source excerpt omitted ...] ervice analytics, and AI consumers across the enterprise Partner with AI governance, security, privacy, and legal stakeholders to ensure AI solutions are scalable, compliant, and production grade Evaluate emerging AI and data capabilities, separating durable value from vendor marketing, and fold the relevant advances into the enterprise roadmap Stakeholder Engagement: Build trusted relationships with executive stakeholders, business leaders, and technology partners, serving as a credible bridge between business needs and technical solutions Lead workshops and architecture reviews with cross-functional teams including Finance, Supply Chain, Sales, HR, and IT to uncover data req
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