Data Center Design Manager

📍 Job Overview

Job Title: Data Center Design Manager

Company: Oracle

Location: United States

Job Type: Full time

Category: Infrastructure Design & Engineering (Operations Focus)

Date Posted: 2026-05-09T04:32:27

Experience Level: Mid-Senior Level (3-5+ years)

Remote Status: On-site (with 50% travel)

🚀 Role Summary

• Spearhead the planning, review, and coordination of design activities for cutting-edge data center infrastructure, focusing on OCI's hyperscale and AI workload requirements.

• Drive operational efficiency and ensure design packages meet stringent program standards through effective collaboration with consultants, internal engineering teams, and external development partners.

• Manage assigned design processes for both new build and retrofit projects, contributing to the delivery of robust and scalable cloud infrastructure.

• Provide critical technical coordination and support early-stage due diligence, ensuring projects are aligned with strategic business goals and operational readiness.

📝 Enhancement Note: While the title is "Data Center Design Manager," the core responsibilities and required skills heavily lean into operational efficiency, infrastructure planning, and technical coordination within a data center context. This role is crucial for the Go-To-Market (GTM) strategy by ensuring the underlying infrastructure can support Oracle's cloud services and AI initiatives. The emphasis on "operational efficiency" and "program standards" indicates a strong connection to operational excellence within the infrastructure domain. The required 50% travel suggests a hands-on role directly involved in project execution and site-specific design validation.

📈 Primary Responsibilities

• Lead and manage design package reviews for new data center builds and retrofit projects, ensuring compliance with Oracle Cloud Infrastructure (OCI) program standards and operational best practices.

• Facilitate seamless coordination between external design consultants, internal engineering disciplines (e.g., electrical, mechanical, plumbing), construction teams, and operations stakeholders to achieve project objectives.

• Provide technical guidance and expertise on MEP (Mechanical, Electrical, and Plumbing) systems, ensuring designs are optimized for performance, reliability, and energy efficiency in hyperscale and AI environments.

• Contribute to early-stage due diligence, site selection, and feasibility studies, assessing technical requirements and potential challenges for new data center deployments.

• Support the development and refinement of design documentation, including architectural drawings, engineering specifications, and commissioning plans, to meet project timelines and quality benchmarks.

• Collaborate with construction and commissioning teams to ensure designs are executed accurately and to specification, proactively identifying and resolving design-related issues.

• Assist in the development and maintenance of design standards, templates, and best practices for OCI data centers to foster consistency and continuous improvement.

• Participate in cross-functional meetings to define project requirements, review design progress, and align on technical strategies with various internal departments.

📝 Enhancement Note: The core responsibilities are framed to highlight the operational impact of design decisions. The emphasis on "program standards," "operational efficiency," and "technical coordination" positions this role as a critical link between initial design and operational readiness, a key aspect of GTM enablement for cloud infrastructure services.

🎓 Skills & Qualifications

Education:

Experience:

• Minimum of 3-5+ years of progressive experience in design management, engineering, or project management within the data center or mission-critical facility sector.

Required Skills:

• MEP Systems Expertise: Deep technical understanding and practical experience with mechanical, electrical, and plumbing systems commonly found in data centers, including power distribution, cooling technologies, and life safety systems.

• Design Management: Proven ability to manage multiple design packages concurrently, from conceptualization through construction documentation, ensuring timely delivery and adherence to project scope.

• Technical Coordination: Strong capability to coordinate complex technical information between diverse teams, including consultants, internal engineering, construction, and operations personnel.

• Due Diligence Support: Experience in contributing to early-stage project assessments, site evaluations, and feasibility studies, identifying critical infrastructure requirements and potential risks.

• Data Center Infrastructure Knowledge: Familiarity with hyperscale and AI workload requirements, including power density, cooling demands, and network infrastructure considerations.

• Project Management Fundamentals: Solid understanding of project management principles, including scope definition, scheduling, budgeting, and risk management.

• Communication & Collaboration: Excellent verbal and written communication skills, with a demonstrated ability to collaborate effectively with cross-functional teams and external partners.

Preferred Skills:

• Experience with Oracle Cloud Infrastructure (OCI) specific design standards or similar hyperscale cloud provider infrastructure.

• Familiarity with data center automation, monitoring, and management systems.

• Knowledge of sustainability initiatives and energy efficiency best practices in data center design.

• Experience with BIM (Building Information Modeling) and advanced design visualization tools.

• Professional Engineering (PE) license or equivalent.

📝 Enhancement Note: The required skills are tailored to emphasize operational relevance. "MEP Systems Expertise" and "Data Center Infrastructure Knowledge" are crucial for ensuring the physical infrastructure supports the performance and reliability of cloud services, directly impacting GTM. "Technical Coordination" and "Due Diligence Support" highlight the role's importance in the early stages of infrastructure deployment, setting the foundation for successful operations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Design Package Examples: Showcase a portfolio of at least 2-3 complex data center or mission-critical facility design packages (e.g., MEP systems, power distribution, cooling infrastructure) you have managed or significantly contributed to. Highlight your specific role and contributions.

• Process Optimization Case Studies: Include 1-2 case studies detailing how you identified and implemented process improvements within the design or coordination phases, leading to measurable outcomes like reduced design cycles, cost savings, or enhanced operational efficiency.

• Technical Specification Samples: Provide examples of technical specifications or design documentation you have authored or reviewed, demonstrating your understanding of critical systems and compliance requirements.

• Cross-Functional Collaboration Examples: Illustrate instances where you successfully facilitated collaboration between design consultants, internal engineering, construction, and operational teams, perhaps through detailed project communication logs or meeting summaries.

Process Documentation:

• Demonstrate familiarity with standard processes for design review, RFI (Request for Information) management, submittal review, and change order processing within infrastructure projects.

• Ability to contribute to the development and refinement of design checklists, templates, and standard operating procedures (SOPs) for data center design.

• Understanding of commissioning processes and how design documentation supports successful system validation and handover to operations.

📝 Enhancement Note: The portfolio requirements are designed to assess practical application of design principles with an operational focus. Case studies emphasizing "process improvements," "cost savings," and "enhanced operational efficiency" directly align with the role's GTM impact. Demonstrating experience with "commissioning processes" and "handover to operations" is critical for ensuring a smooth transition from design to live infrastructure.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Comprehensive Health Coverage: Medical, Dental, and Vision Insurance.

• Disability & Life Insurance: Short Term Disability, Long Term Disability, Life Insurance, and Accidental Death & Dismemberment (AD&D).

• Supplemental Coverage: Supplemental Life Insurance, Health Care Flexible Spending Account (FSA), and Dependent Care Flexible Spending Account (FSA).

• Retirement Savings: 401(k) Savings and Investment Plan with company matching potential.

• Paid Time Off: Flexible Vacation, Paid Holidays, and Paid Sick Leave.

• Family Support: Paid Parental Leave and Adoption Assistance.

• Financial & Legal Support: Employee Stock Purchase Plan (ESPP), Financial Planning services, and Group Legal services.

• Commuter & Other Benefits: Pre-tax Commuter and Parking Benefits, Auto Insurance, Homeowner Insurance, and Pet Insurance.

Working Hours:

• Standard full-time work week, typically 40 hours per week. Flexibility may be required to meet project deadlines, especially during critical design phases or due to the 50% travel requirement.

📝 Enhancement Note: The salary range is calculated using AI-driven data, factoring in location (United States), experience level (Mid-Senior, 3-5+ years), and the specialized nature of data center design management. The benefits package is extensive, reflecting Oracle's commitment to employee well-being and financial security, which can be a significant draw for operations professionals seeking stability.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Cloud Computing, AI, Enterprise Software)

Company Size: Large Enterprise (100,000+ employees)

Founded: 1977

Company Description: Oracle is a global leader in cloud infrastructure, enterprise applications, and AI solutions. They provide a comprehensive suite of integrated cloud services that empower businesses to innovate and transform. Oracle's commitment extends to leveraging AI across its product portfolio to drive better outcomes for customers.

Team Structure:

• The Design Management team is likely part of Oracle's larger Global Cloud Infrastructure (GCI) or Data Center Operations division.

• This role reports to a senior Design Manager or Director of Infrastructure Engineering, working closely with project managers, architects, and construction leads.

Methodology:

• Oracle emphasizes a data-driven approach to infrastructure development, ensuring designs are informed by performance metrics, operational feedback, and future scaling needs.

• Workflow planning and optimization are critical, focusing on streamlining the design process from conception to handover to ensure efficient deployment of cloud resources.

• Automation and efficiency practices are key to managing hyperscale infrastructure, with a focus on designing systems that are inherently reliable and easy to manage at scale.

Company Website: https://www.oracle.com/

📝 Enhancement Note: The company's scale and focus on cloud infrastructure and AI are crucial context for an operations-focused role. Understanding that this role supports hyperscale environments and AI workloads helps candidates tailor their responses to highlight relevant experience in high-demand, high-performance infrastructure. The emphasis on data-driven methodologies and automation aligns with typical operations principles.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a mid-to-senior level, requiring significant technical expertise and project management capabilities. It serves as a critical bridge between the conceptual design phase and the operational realities of deploying and managing hyperscale cloud infrastructure.

Reporting Structure: The Data Center Design Manager will likely report to a Director of Infrastructure Design or a VP of Engineering within the Oracle Cloud Infrastructure organization. They will collaborate extensively with Project Managers, Construction Managers, Data Center Operations teams, and other engineering disciplines.

Operations Impact: The work of a Data Center Design Manager directly impacts Oracle's ability to deliver reliable, scalable, and cost-effective cloud services. Well-designed facilities are foundational to meeting Service Level Agreements (SLAs), supporting AI/ML workloads, and enabling Oracle's overall GTM strategy for cloud adoption. Efficient designs translate to lower operational costs and higher customer satisfaction.

Growth Opportunities:

• Specialization: Deepen expertise in specific areas like advanced cooling technologies, high-density power solutions for AI, or sustainable data center design.

• Leadership Progression: Advance to Senior Data Center Design Manager, Director of Design, or leadership roles within Data Center Operations or Infrastructure Engineering.

• Cross-Functional Mobility: Transition into roles focused on Data Center Operations Management, Capacity Planning, or Global Infrastructure Strategy.

• Learning & Development: Access to Oracle's extensive internal training programs, industry conferences, and potential for professional certifications (e.g., P.E., LEED).

📝 Enhancement Note: This analysis focuses on how the role contributes to the broader operational goals of Oracle Cloud Infrastructure. The growth opportunities highlight pathways that leverage design expertise for operational leadership and strategic impact within the company's GTM for cloud services.

🌐 Work Environment

Office Type: This role is primarily on-site, requiring the candidate to be present at office locations or project sites as needed. Given Oracle's scale, this could involve working from corporate offices, regional engineering hubs, or directly at data center construction/retrofit sites.

Office Location(s): While the listing specifies "United States," Oracle has significant operations and data center footprints across various regions within the US. The 50% travel requirement means the candidate should be prepared to visit project sites across different locations as dictated by Oracle's infrastructure deployment schedule.

Workspace Context:

• The work environment will be dynamic, involving a blend of office-based design coordination and on-site project oversight.

• Expect regular collaboration with diverse teams, utilizing collaborative software and communication platforms for design reviews, problem-solving, and status updates.

Work Schedule:

• The standard 40-hour work week is expected, but the nature of data center projects and the required travel may necessitate flexibility. Candidates should be prepared for extended hours during critical project phases or when managing multiple site visits.

📝 Enhancement Note: The on-site and travel requirements are emphasized, as this is a key aspect of the role for operations professionals who often need to be physically present for critical infrastructure work. The dynamic nature of the workspace reflects the reality of managing large-scale projects.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or a recruiter will conduct an initial screening to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: A discussion with the hiring manager to delve into your experience with data center design, MEP systems, project management, and specific examples of your contributions.

• Technical Interview(s): Likely involve interviews with senior engineers, design leads, or operations managers to assess your technical depth in MEP systems, data center infrastructure, and problem-solving abilities. This may include scenario-based questions.

• Portfolio Review: A dedicated session where you will present selected examples from your portfolio, walking through your contributions, design decisions, and the impact of your work on project outcomes.

• Cross-Functional Team Interview: An opportunity to meet with potential peers or collaborators from engineering, construction, or operations teams to assess teamwork and communication skills.

• Final Interview: Potentially with a senior leader within the infrastructure or operations division to discuss strategic alignment and overall fit.

Portfolio Review Tips:

• Curate Strategically: Select 3-4 strong examples that best represent your experience in data center design management, focusing on projects with significant MEP complexity, operational efficiency improvements, or successful stakeholder coordination.

• Quantify Impact: For each project, clearly articulate your role, the challenges faced, the solutions implemented, and the measurable outcomes (e.g., % reduction in design time, cost savings, improved energy efficiency, successful commissioning).

• Highlight Process: Explain your approach to design coordination, risk management, and collaboration with different teams. Detail how you ensured designs met operational requirements.

• Prepare for Technical Deep Dives: Be ready to discuss specific technical aspects of your designs, such as power distribution strategies, cooling load calculations, or redundancy measures.

• Practice Presentation: Rehearse your portfolio presentation to ensure a clear, concise, and engaging delivery within the allotted time.

Challenge Preparation:

• Scenario-Based Questions: Prepare to answer questions about how you would handle common data center design challenges, such as unexpected site conditions, scope creep, or conflicts between design requirements and operational needs.

• MEP System Scenarios: Expect questions related to troubleshooting common MEP issues in data centers or optimizing systems for specific workloads (e.g., AI).

• Collaboration Scenarios: Think about how you would manage communication and resolve conflicts with difficult stakeholders or consultants.

📝 Enhancement Note: This section provides actionable advice tailored to operations roles, emphasizing the need to demonstrate not just design capability but also an understanding of operational impact, efficiency, and cross-functional collaboration. The portfolio review guidance is critical for roles where demonstrating past performance through tangible examples is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• CAD/BIM Software: Proficient use of AutoCAD, Revit, or similar Building Information Modeling (BIM) software for design creation, review, and coordination.

• Project Management Software: Experience with tools like Microsoft Project, Primavera P6, Asana, or Jira for project scheduling, task management, and progress tracking.

• Collaboration Platforms: Familiarity with Microsoft Teams, Slack, Google Workspace, or similar for real-time communication, document sharing, and virtual meetings.

Analytics & Reporting:

• Data Analysis Tools: Ability to interpret data from design simulations, energy modeling reports, and operational performance metrics.

• Reporting Tools: Experience generating reports on design progress, budget status, and technical findings using standard office suite tools (e.g., Microsoft Excel, PowerPoint).

CRM & Automation:

• While not a direct CRM role, understanding how design decisions impact the operational systems (e.g., capacity management, monitoring) is beneficial. Familiarity with systems that manage data center infrastructure lifecycle is a plus.

• Document Management Systems: Experience with systems for organizing and versioning large volumes of design documentation.

📝 Enhancement Note: The tools listed are standard for infrastructure design and project management. The emphasis is on tools that facilitate collaboration, documentation, and planning, which are critical for ensuring successful operational deployment of data center facilities.

👥 Team Culture & Values

Operations Values:

• Excellence in Execution: A commitment to high-quality design and rigorous execution that ensures the reliability and performance of Oracle's cloud infrastructure.

• Innovation & Continuous Improvement: Encouraging new ideas and methodologies to optimize data center design, efficiency, and sustainability.

• Collaboration & Partnership: Fostering strong working relationships with internal teams and external partners to achieve shared goals.

• Data-Driven Decision Making: Utilizing data and analytics to inform design choices and operational strategies.

• Customer Focus: Ensuring that designs meet the evolving needs of Oracle's cloud customers and support their business objectives.

Collaboration Style:

• Proactive and communicative, ensuring all stakeholders are informed and aligned throughout the design process.

• Team-oriented, valuing collective problem-solving and knowledge sharing to overcome complex challenges.

• Results-driven, with a focus on delivering projects on time, within budget, and to the highest standards of quality.

• Open to feedback and constructive criticism to continuously improve processes and outcomes.

📝 Enhancement Note: The values and collaboration style are framed to align with the operational mindset required for building and maintaining critical infrastructure. Emphasis on "Excellence in Execution," "Data-Driven Decision Making," and "Customer Focus" are key indicators of a strong operations-oriented culture.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapid Technological Evolution: Keeping pace with the increasing demands of AI workloads and evolving cloud technologies requires continuous learning and adaptation in design strategies.

• Balancing Design Requirements: Juggling competing priorities such as cost, schedule, performance, sustainability, and operational efficiency in complex hyperscale environments.

• Global Project Coordination: Managing design activities across multiple geographical locations, each with unique regulatory requirements and logistical considerations.

• Site-Specific Constraints: Adapting designs to diverse site conditions, existing infrastructure, and local environmental factors.

Learning & Development Opportunities:

• Advanced Technical Training: Opportunities to deepen expertise in specialized areas like high-density computing, advanced cooling solutions (e.g., liquid cooling), or renewable energy integration for data centers.

• Industry Certifications: Support for pursuing relevant professional certifications such as Professional Engineer (PE), LEED accreditation, or data center specific certifications.

• Leadership Development Programs: Access to Oracle's leadership training to develop skills in team management, strategic planning, and executive communication.

• Cross-Functional Exposure: Gaining insights into Data Center Operations, Network Engineering, and Cloud Service Delivery to broaden understanding of the end-to-end infrastructure lifecycle.

📝 Enhancement Note: The challenges highlight the dynamic and demanding nature of data center design for hyperscale and AI, requiring adaptability and continuous learning. The growth opportunities are geared towards professional development within the infrastructure and operations domain.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex data center MEP system you designed or managed. What were the key challenges, your approach, and the outcome?" (Focus on technical depth, problem-solving, and quantifiable results.)

• "How do you ensure that design decisions align with long-term operational efficiency and scalability for hyperscale environments?" (Highlight your understanding of operational impact, cost considerations, and future-proofing.)

Company & Culture Questions:

• "What interests you about Oracle's role in the cloud infrastructure and AI space?" (Show research into Oracle's cloud offerings, AI initiatives, and commitment to infrastructure.)

• "How do you handle conflicting priorities or disagreements on a project, particularly between design intent and operational feasibility?" (Emphasize your conflict resolution skills and ability to find pragmatic solutions.)

Portfolio Presentation Strategy:

• Structure Your Case Studies: For each portfolio piece, follow a clear narrative: Project Overview -> Your Role & Responsibilities -> Key Challenges -> Design Solutions/Process Improvements -> Measurable Outcomes (Quantify!) -> Lessons Learned.

• Focus on Operational Relevance: When presenting, explicitly connect your design decisions to operational benefits like reliability, efficiency, maintainability, and cost-effectiveness.

• Be Prepared for Technical Questions: Anticipate deep dives into your technical contributions and be ready to explain complex design elements clearly and concisely.

• Showcase Collaboration: Highlight instances where you effectively managed cross-functional teams and resolved communication gaps.

📝 Enhancement Note: These interview questions are designed to probe the candidate's technical acumen, operational mindset, and strategic thinking in the context of data center infrastructure. The portfolio presentation strategy emphasizes demonstrating tangible impact and clear communication.

📌 Application Steps

To apply for this operations-focused infrastructure position:

• Submit your application through the Oracle careers portal link provided.

• Curate Your Portfolio: Select 2-3 high-impact projects that showcase your data center design management experience, specifically highlighting MEP systems, operational efficiency improvements, and successful cross-functional collaboration. Prepare detailed case studies for these projects.

• Tailor Your Resume: Ensure your resume prominently features keywords related to data center design, MEP systems, infrastructure planning, technical coordination, project management, and operational efficiency. Quantify your achievements with specific metrics wherever possible.

• Research Oracle Cloud Infrastructure: Familiarize yourself with Oracle's cloud services, AI initiatives, and their approach to building and operating hyperscale data centers. Understand their competitive landscape.

• Practice Your Presentation: Rehearse your portfolio presentation and prepare concise answers to common interview questions, focusing on demonstrating your technical expertise, problem-solving skills, and understanding of operational requirements.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.