DATA & AI RECRUITING AGENCY DALLAS

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Senior Manufacturing Technology Leader

Location: United States preferred

Travel: Moderate travel as needed

Compensation: Competitive executive compensation package

About the Opportunity

We are partnering with a global manufacturing organization undergoing significant expansion and modernization across its production network. As part of that growth, the company is seeking a senior leader to drive the strategy and execution of its manufacturing technology organization on a global scale.

This is a high-impact executive leadership opportunity for someone who thrives at the intersection of manufacturing, software, data, automation, and enterprise technology. The role will be responsible for shaping and leading the technology roadmap that supports factory performance, automation, scalability, and long-term operational excellence across a large international footprint.

The Role

This leader will oversee global manufacturing technology strategy and execution across a complex manufacturing environment that includes advanced production sites, assembly/test operations, and centralized manufacturing organizations. The role carries broad organizational scope, including responsibility for a large global team and multiple senior leaders/direct reports.

This person will be expected to unify and scale historically siloed teams, align technology priorities with business and operational goals, and build the systems, platforms, and capabilities needed to support the next phase of manufacturing growth.

The right candidate will bring a strong mix of executive leadership, operational rigor, technical depth, and transformation experience. This is not purely an innovation-focused role. It is a strategy-and-execution leadership seat for someone who can define the roadmap and ensure it is delivered effectively across a global organization.

Key Responsibilities

Strategic Leadership

• Define and execute a global manufacturing technology vision and roadmap
• Align technology investments with broader manufacturing growth and operational priorities
• Lead large-scale transformation efforts across manufacturing systems, digital infrastructure, and automation capabilities
• Build a cohesive global operating model across distributed teams and locations
• Balance short-term delivery needs with long-term platform modernization

Manufacturing Technology & Digital Transformation

• Lead modernization of manufacturing technology platforms and factory systems
• Oversee initiatives across manufacturing systems, process control, automation, data infrastructure, and digital operations
• Drive adoption of scalable, future-state architectures that support increasingly automated and data-driven factories
• Partner with operations, engineering, and manufacturing leadership to improve plant performance through technology
• Establish and standardize global solutions rather than localized one-off site approaches

Data, Software, and AI Enablement

• Lead the evolution of enterprise data and analytics capabilities within manufacturing
• Drive adoption of modern data platforms, predictive analytics, and AI/ML use cases in industrial environments
• Enable technology capabilities tied to productivity, throughput, cost optimization, quality improvement, and decision support
• Support modernization of software engineering practices, including agile delivery, DevOps, and scalable platform development
• Help integrate manufacturing systems with broader enterprise technologies and business platforms

Operational Excellence

• Improve factory performance through better use of systems, data, and automation
• Increase speed of deployment for new capabilities across the manufacturing network
• Support efforts tied to uptime, throughput, cost reduction, and scalable automation
• Develop and track performance metrics that tie technology outcomes to operational business results
• Build organizational discipline around execution, prioritization, and continuous improvement

Leadership & Organization Building

• Lead and develop a large, globally distributed team through multiple senior leaders/direct reports
• Build strong leadership bench strength across software, automation, data, and manufacturing technology disciplines
• Foster a culture of collaboration, accountability, innovation, and operational excellence
• Create alignment across business, IT, and manufacturing stakeholders in a highly matrixed environment
• Help scale the organization to support long-term manufacturing expansion

Ideal Candidate Profile

We are looking for an executive leader who has successfully operated in large, complex environments and understands how to use technology to improve manufacturing performance at scale.

The ideal background will include:

• Significant experience leading manufacturing technology, digital manufacturing, smart manufacturing, operational technology, or manufacturing IT functions
• Proven success driving both strategy and execution in large global organizations
• Strong leadership experience managing senior leaders and distributed teams
• Deep understanding of how software, data, cloud, and automation can improve manufacturing operations
• Experience leading complex transformations across multiple sites, regions, or business units
• Strong cross-functional partnership skills with operations, engineering, and enterprise technology stakeholders
• Executive presence with the ability to influence at senior leadership levels

Preferred Technical / Functional Experience

Strong candidates will bring depth in several of the following areas:

• Manufacturing technology platforms
• Manufacturing execution systems and factory systems
• Process control and automation environments
• Operational technology and industrial systems
• Enterprise data platforms and analytics
• AI/ML applications in industrial or manufacturing settings
• Cloud modernization and scalable digital infrastructure
• Modern software engineering and platform delivery models
• Global standardization of systems, processes, and manufacturing technologies

Required Qualifications

• 15+ years of leadership experience in manufacturing technology, industrial technology, factory systems, automation, or related areas
• Experience leading large-scale transformation initiatives in complex enterprise environments
• Demonstrated success managing large, global, cross-functional teams
• Proven track record of delivering measurable operational improvements through technology
• Strong understanding of the intersection of manufacturing, data, software, and automation
• Bachelor’s degree required; advanced degree in engineering, computer science, data science, or related discipline preferred

Preferred Backgrounds

Candidates may come from a range of large-scale manufacturing or industrial environments, including:

• Advanced manufacturing
• Electronics
• Automotive
• Aerospace
• Industrial equipment
• Consumer manufacturing
• Other complex global manufacturing environments

Large-company experience is important. The strongest candidates will have led within highly matrixed organizations where scale, complexity, and cross-functional alignment were critical to success.

Why This Role

This is an opportunity to lead one of the most strategically important functions in a global manufacturing environment undergoing major expansion and transformation. The role offers the chance to shape how technology enables manufacturing performance over the next decade, while building and leading a large organization responsible for execution at scale.

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What You’ll Do

• Own the end‑to‑end strategy and execution for public and private cloud platforms
• Lead a large, distributed organization (50-100+ engineers) across the US and India, including managers and senior technical leaders
• Unify currently siloed private and public cloud functions into a single, coherent platform
• Drive delivery of cloud infrastructure spanning:
• Kubernetes and container platforms
• Compute, GPU, and storage services
• Networking, identity, security, and access
• Infrastructure‑as‑Code and automation
• Provide direction and accountability to architects and senior engineers, ensuring decisions are made and executed
• Build a strong operating model that balances autonomy, reliability, cost control, and speed
• Establish trust and credibility within a deeply technical engineering culture
• Partner closely with leaders across technology, security, and the business to ensure alignment and outcomes

• Public and private cloud are no longer disconnected-they operate as one platform
• Strategy doesn’t stall at design; platforms are built, adopted, and running in production
• Teams are autonomous, accountable, and delivering reliably at scale
• Architects are aligned and decisively driven toward execution
• Cloud platforms are cost‑effective, resilient, secure, and easy for internal teams to consume

Required Experience

• 12+ years in cloud, infrastructure, or platform engineering roles
• 5+ years leading managers and senior technical leaders
• Proven ownership of both private and public cloud environments (this is non‑negotiable)
• Strong public cloud experience across at least two of: AWS, Azure, GCP
• Deep private cloud experience (VMware, Kubernetes‑led platforms, or equivalent)
• Strong Infrastructure‑as‑Code background (Terraform, Ansible, Python, or similar)
• Experience building self‑service internal platforms or IaaS products
• Solid grounding in networking, security, identity, and distributed systems
• Taking strategy from concept to delivery

Nice to Have

• Leadership experience with OpenShift or upstream Kubernetes
• Experience building GUI‑ or portal‑based private cloud platforms
• DevOps, SRE, or Internal Developer Platform (IDP) leadership experience
• Exposure to high‑performance compute, GPU workloads, or advanced analytics platforms

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About the Job

Role Title: Supply Chain Planning Leader

Compensation: Competitive base salary + annual incentive

Location: Dallas, TX

The Opportunity

We’re partnering exclusively with a large, global manufacturing organization to hire a senior leader who will own enterprise planning and demand generation at scale. The business is entering a period of sustained growth and investment, creating a need to fundamentally modernize how demand, supply, inventory, and manufacturing capacity are planned and connected.

This is a rare opportunity to step into a highly influential role where planning is treated as a strategic capability, not a back‑office function. You’ll act as the enterprise owner for planning-defining the vision, shaping the systems, and driving execution across a complex, global footprint.

If you are motivated by scale, transformation, and real operational impact, this role offers the chance to shape how an entire organization plans, builds, and grows.

About the Role

The organization is looking for a senior planning leader who can operate across two equally important dimensions. The first is enterprise planning ownership: demand planning, inventory optimization, supply planning enablement, and manufacturing capacity planning. The second is transformation leadership: modernizing planning processes, platforms, data, and ways of working.

This is not a purely strategic or people‑management role. You’ll be expected to remain technically fluent, challenge system and architecture decisions, and stay close to execution. You will lead through a “leader of leaders” model while setting the technical and analytical direction for planning across the enterprise.

You’ll partner deeply with manufacturing, supply chain, finance, and technology teams to ensure demand signals are actionable, realistic, and aligned with what can actually be produced-both now and as capacity scales over time.

What You’ll Be Doing

Own end‑to‑end enterprise planning, spanning demand planning, inventory optimization, supply planning, and capacity planning

Generate high‑quality demand signals that drive inventory strategy, supply plans, and long‑term manufacturing investment

Ensure tight alignment between demand, supply planning, manufacturing operations, and financial plans

Define and own the planning technology vision, architecture, and multi‑year roadmap

Lead transformation initiatives leveraging modern planning platforms, advanced analytics, automation, and AI/ML capabilities

Drive legacy planning system modernization and ERP‑integrated planning transformations

Partner closely with manufacturing to support factory start plans, scenario planning, and footprint expansion

Interpret large, complex datasets to identify trends and guide enterprise decision‑making

Lead change management, communication, training, and adoption efforts across global planning teams

Develop and mentor senior leaders, establish consistent processes, and define future skill requirements for the planning organization

What They’re Looking For

Significant experience leading enterprise‑scale planning or supply chain transformation initiatives

Deep expertise across demand planning, supply planning, inventory optimization, and manufacturing capacity planning

Proven track record delivering modern planning systems and migrating from legacy platforms

Strong technical fluency with planning technologies, analytics, and data‑driven decision frameworks

Experience operating in complex, global manufacturing environments

Demonstrated success leading managers and senior leaders in distributed, global teams

Ability to operate hands‑on while setting long‑term strategic direction

Comfortable owning ambiguous, high‑impact problems and seeing them through end‑to‑end

Nice to Have

Background in highly technical or capital‑intensive manufacturing environments

Exposure to advanced analytics, automation, AI, or machine‑learning‑enabled planning

Experience supporting large‑scale manufacturing expansion or capacity growth programs

Strong change‑management instincts and experience driving adoption at scale

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Title:

Senior AI Solutions Architect – Agentic AI (Enterprise / Production)

Overview

We are hiring a Senior AI Solutions Architect to design and deploy production-scale, multi-agent AI systems integrated into enterprise workflows.

This is a hands-on role focused on building real systems – not research or proof-of-concepts.

You’ll work on high-impact initiatives across operations, IT, and business functions, delivering AI-driven automation at scale.

What You’ll Do

• Design and build multi-agent AI systems for enterprise use cases
• Deploy production-grade AI solutions using LLMs and orchestration frameworks
• Integrate AI into systems like ERP, CRM, and internal platforms
• Architect end-to-end solutions across cloud, APIs, and data layers
• Collaborate with cross-functional teams to deliver high-impact AI initiatives
• Contribute to best practices around AI architecture, scalability, and governance

What We’re Looking For

• Experience building and deploying AI systems in production environments
• Hands-on experience with:
• Multi-agent systems or orchestration frameworks (LangChain, AutoGen, etc.)
• LLM-based applications
• Strong background in:
• Cloud platforms (Azure, AWS, or GCP)
• API development and system integration
• Ability to move between architecture and hands-on implementation
• Experience working in complex, enterprise environments

Nice to Have

• Experience building reusable AI platforms or frameworks
• Exposure to AI governance, security, or compliance
• Experience leading technical initiatives or mentoring teams

What This Role Is NOT

• Not a research role
• Not limited to proof-of-concepts
• Not purely architecture without hands-on work

Location & Compensation

• Location: Dallas or Houston (relocation support available for strong candidates)
• Compensation: $165K-$220K base + potential sign-on
• Employment Type: Open to full-time or contract-to-hire

Final Note

We are specifically looking for candidates who have deployed AI systems into real-world production environments and can speak in detail about scale, performance, and impact.

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Global Network Director

Role Overview

We are seeking a hands-on, high-impact Global Network Director to lead, align, and deliver across a large, distributed global organization.

This leader will operate with a builder mindset – architecting, modernizing, and scaling a global network ecosystem that supports enterprise offices, hyperscale data centers, and private cloud infrastructure.

The role requires a rare combination of deep technical credibility, strategic alignment with executive leadership, and the ability to execute at speed. This is not a maintenance role – it is a transformation mandate.

Scope of Responsibility

Oversight includes:

• Enterprise administration offices
• Global sales offices
• Design offices
• Enterprise data centers
• Hyperscale data center environments
• Private cloud infrastructure with AWS and Azure footprint

You will lead approximately 40-55 professionals across global teams, including internal engineers, support functions, and managed service partners.

Budget ownership and operational accountability are expected at scale.

Core Mandate

• Lead and deliver a global network transformation
• Treat Network as a Product / Network as a Service
• Drive an automation-first infrastructure strategy
• Align network strategy tightly with enterprise vision and business objectives
• Build and evolve teams end-to-end (hire, mentor, scale, optimize)
• Execute both strategic roadmap creation and hands-on architectural oversight

Technical Requirements

Network Architecture

• Deep expertise in spine-leaf architecture (strong preference)
• Experience with Arista or Cisco (leading or participating in Cisco-to-Arista transformation preferred)
• Design and build enterprise and hyperscale data centers from scratch
• Modern network design principles and scalable architectures

Network Engineering & Automation

• Network engineering leadership at enterprise scale
• Strong automation mindset (Terraform / DevOps frameworks)
• Infrastructure-as-Code expertise
• SRE / NRE operational philosophy
• VPN technologies

Network Security

Hands-on experience with:

• Palo Alto
• Fortinet
• CIS Controller or similar security governance platforms

Security architecture must be integrated into network design from day one.

Data Center & Cloud Strategy

• Build and operate modern private cloud infrastructure
• Maintain strong AWS and Azure footprint
• Cloud-agnostic mindset with modern cloud-native mentality
• Lead investments in private data centers as GPU costs and scale requirements increase
• Balance on-prem infrastructure with evolving Software-as-a-Service models

Ideal Background

• Experience in high-growth technology environments preferred
• Proven track record delivering large-scale network and data center transformations
• Experience treating the network as a product rather than a utility
• Strong execution history – not just strategic oversight
• Experience managing significant budgets and large global teams

Candidates from highly traditional environments (e.g., purely finance or healthcare legacy infrastructures) may be less aligned with the transformation mandate.

Leadership Profile

• Builder mentality – energized by creating from scratch
• High energy, delivery-oriented, and hands-on
• Capable of learning, teaching, and scaling teams A-Z
• Strong alignment with executive leadership on strategy and execution
• Long-term ownership mindset

What Success Looks Like

• Fully modernized, automation-first global network
• Successful Cisco-to-Arista transformation
• Scalable private cloud and hyperscale data center capability
• Network operating as a product with strong internal service delivery
• High-performing global team aligned to strategy and execution

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Role Overview

This is a hands‑on leadership role responsible for building a modern cloud engineering function from the ground up. The environment currently includes AWS and GCP, but lacks structure, governance, best practices, and clear ownership. You will be the first dedicated public cloud engineering leader, responsible for assessing the current state, defining strategy, establishing standards, and building a scalable cloud foundation.

The role blends deep technical expertise, team leadership, and cross‑functional partnership, especially with the private cloud organization. The initial phase involves auditing and stabilizing the existing cloud estate; the next phase focuses on building seamless connectivity between public and private cloud environments.

Key Responsibilities

1. Cloud Strategy & Architecture

• Audit the current AWS and GCP environments to understand existing workloads, configurations, and gaps.
• Define a cohesive multi‑cloud strategy with strong governance, security, identity, and operational standards.
• Establish best‑practice architecture for scalable, resilient, cost‑efficient cloud platforms.

2. Hands-On Engineering & Infrastructure Build

• Lead Infrastructure as Code adoption using Terraform (highest priority), plus Ansible and Python.
• Build core cloud foundations: networking, IAM, monitoring, automation, observability, and cost controls.
• Modernize cloud environments to enable workload mobility between public and private platforms.
• Own cloud reliability, incident response, security posture, and FinOps optimization.

3. Leadership & Team Building

• Lead and grow the cloud engineering team; initially operate as a hands-on technical manager.
• Hire, mentor, and develop engineers with strong technical depth.
• Serve as the senior cloud architecture expert for internal stakeholders.

4. Cross‑Functional Partnership

• Partner closely with the private cloud organization to design hybrid connectivity models.
• Align public and private cloud roadmaps, access patterns, networking design, and cost allocation.
• Work with legacy infrastructure teams to standardize architecture and modernize existing systems.

What You’ll Be Doing Day‑to‑Day

• Auditing and restructuring AWS and GCP environments
• Implementing governance, access policies, and cloud operating standards
• Writing Terraform modules and IaC patterns
• Designing hybrid architecture to enable smooth workload mobility
• Managing reliability, incident response, and cloud cost optimization
• Leading cloud engineering hiring and team development
• Acting as the SME for AWS, GCP, and modern cloud patterns

Required Experience

• 8+ years in cloud, infrastructure, platform, or DevOps engineering
• 3+ years leading teams (formal or informal leadership acceptable)
• Deep expertise in AWS (priority) and strong capability in GCP or another public cloud
• Strong experience building cloud environments from scratch-not just maintaining inherited ones
• Expert-level proficiency with Terraform
• Strong understanding of cloud networking, identity, security, distributed systems, and hybrid architectures
• Demonstrated experience designing and operating hybrid/public-private cloud ecosystems

Preferred Qualifications

• AWS Solutions Architect Professional certification (strong signal for this hiring profile)
• Kubernetes, Docker, EKS, GKE
• DevOps or SRE background
• Experience with GPU, AI/ML, or high-performance compute workloads
• Experience in highly scaled enterprise or regulated environments

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