Immersion Data Solutions Jobs in Usa

Title:Sr. Manager Data Governance

Location: Richardson, TX Hybrid

Duration: 6 months possibility of FTE conversion yes

JOB SUMMARY

This position incubates and establishes a leading-edge global Data Governance function to support business segments, corporate functions and the Digital & Technology stakeholders. The responsibility includes

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• Liaise directly with clients and account teams to provide strategic direction on implementation of data governance programs, best practices, adoption of standards, mast data management, and data quality improvement while leveraging leading-edge data governance tools and technology.
  
• Collaborate with and manage highly performing data governance and data management professionals that support occupier clients and account teams.
  
• Provide support on data strategy execution in the adoption of data products including enterprise data platform that provides game-changing analytics in the CRE industry.
  
• Serve as the data governance champion of strategic data products and supporting metadata and reference data.
  
• Implement and support data ownership and stewardship programs for stakeholders across the business to ensure that account teams adopt improved data governance and management practices.
  

ESSENTIAL DUTIES AND RESPONSIBILITIES

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• Participate in the strategy, planning, and execution for Enterprise Data Governance at, focusing on Building Operations & Experience (BOE) business segment. Ensure the company has urgency, sensitivity and thought leadership for competitive capabilities around data.
  
• Demonstrated leadership experience in a large, complex, global organization, including the ability to effectively work and communicate across organizational lines. Ensure business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program(s). Be the champion and evangelist for data, the business value, and the potential innovations. Be the trusted advisor to senior leadership and peers.
  
• Demonstrated experience in building relationships and leading high-performing teams with top talents around the world. Build a high performance environment and execute a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vision/ values/ business strategy and managing succession and development planning for the team.
  
• Collaborate with partners across business segments/ business lines, regions and accounts to develop consistent data governance capabilities at all levels, influencing decisions relating to policy, practices, supporting technology, and talent development.
  
• Establish leading data management practices and shared services relating to data quality, data provisioning, metadata, lineage, reference data, issue management and change management.
  
• Implement data governance as commodity services that could be leveraged by various clients in different industries. Understand clients' appetite and risk culture in day-to-day support activities and decision-making.
  
• Establish account team data governance programs. Define data domains and implement business oversight via essential data governance organizations and RACI (i.e. central data governance function, Data Ownership and Stewardship Program, etc.). Establish data standards, policies and controls. Design and implement the framework, including associated processes, necessary to sustain a data control environment. Monitoring compliance with data policies and standards
  
• Establish account team and cross-account data quality framework necessary to enable data quality reporting, issue identification, remediation and tracking, ultimately ensuring trust and confidence in data across domains.
  
• Guide the client accounts to adopt the strategic data products including existing account migrations and new account transitions. Manage data to support and its clients' business intelligence and scale appropriately with business growth.
  
• Experience in leading and driving leading-edge data innovation initiatives including big data, cloud computing, IoT, data virtualization and federation, etc., is a plus.
  
• Create and implement strategic approaches, plans, timelines, preparation of business cases to ensure expedited handling of client data protection, and other data compliance and security requirements.
  
• Develop and implement metrics needed to monitor/ report on data governance and data management progress
  
• Develop communication approaches and change management strategies; determines presentation focus and emphasis and prepares board-level presentations.
  
• Performs other duties as assigned.
  

SUPERVISORY RESPONSIBILITIES

Manages the planning, organization, and controls for a major functional area or department. Position will be responsible for managing direct reports across the Americas region and working with peers across all regions, requiring flexibility in schedule. May also be responsible for matrix reports. This position requires subordinates' recommendations for staff recruitment, selection, promotion, advancement, corrective action and termination. Effectively recommends same for direct reports to next level management for review and approval. Monitors appropriate staffing levels and reports on utilization and deployment of human resources. Leads and supports staff in areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention. Leads by example and models behaviors that are consistent with the company's values.

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION and EXPERIENCE

Bachelor's degree (BA/BS) from four-year college or university and a minimum of eight years of related experience and/or training, including five years of experience at the management level.

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• 5 or more years of progressively responsible management positions in complex organizations required. Demonstrated success with high visibility projects, leaders in technology use and development, change management, budget and business case development and staff development.
  
• 5 or more years of related experience in related industry; commercial real estate management preferred.
  
• 7 or more years of data management related experience such as data analysis, data governance, enterprise information management, data modeling, and data quality management. analytics experience desired, i.e., data visualization, data analytics, data mining, business intelligence, etc.
  
• Candidates must have experience working in large organizations with geographically dispersed teams and complex technical environments.
  
• Experience in dealing with internal and external customers, service providers and vendors. Must be able to manage competing priorities. Needs to be resilient; resolving conflicts quickly to achieve desired business results.
  
  

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• Bachelor's degree in business administration, Information Management, MIS, Business Intelligence and Data Science, Library Science, Computer Science or related fields; advanced degree preferred.
  

CERTIFICATES and/or LICENSES

None

COMMUNICATION SKILLS

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• Ability to comprehend, analyze, and interpret the most complex business documents. Ability to respond effectively to the most sensitive issues. Ability to write reports, manuals, speeches and articles using distinctive style. Ability to make effective and persuasive presentations on complex topics to employees, clients, top management and/or public groups. Ability to motivate and negotiate effectively with key employees, top management, and client groups to take desired action.
  
• Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space
  
• Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients.
  
• Excellent collaboration, influence and leadership skills. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues.
  
• Relationship management skills that include excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections
  

FINANCIAL KNOWLEDGE

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• Requires basic knowledge of financial terms and principles.
  
• Participates in complex financial/business analysis and report reviews prepared peers or leaders.
  
• Manages to and oversees department budget.
  

REASONING ABILITY

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• Ability to solve advanced problems and deal with a variety of options in complex situations. Requires expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based environment. Draws upon the analysis of others and makes recommendations that have a direct impact on the company.
  
  • 
    
  • Understanding of global organizational design and the ability to shape and drive large-scale, cross-functional programs around people, technology, processes, and tools.
    
  • Demonstrated ability to balance long-term strategy with quick wins.
    
  • Demonstrated ability for strategic influencing and education of cross-functional stakeholders about the strategic importance and value of data governance
    
  • Excellent managerial skills; collaborative, imaginative, resourceful, reliable, technically savvy.
    
  • Superior analytical and creative problem-solving skills. Demonstrated successes in data analysis, drawing conclusions and improvement. Apply listening and consultative skills to understand business needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to business processes across the organization.
    
  • Ability to work well under deadlines, ability to work in a multi-tasking production environment to make good judgments about competing priorities.
    
  • Ability to tell a story to explain or sell a concept.
    
  
  
  

OTHER SKILLS and/or ABILITIES

• 
  
• Utilizes an entrepreneurial approach and develops innovative solutions.
  
• Ability to write business cases, process maps, presentation materials and articles using distinctive style.
  
• Ability to make effective and persuasive presentations on complex topics across various levels of leadership
  
• Expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based multi-industry sales environment.
  
• Ability to use strong conceptual and analytical skills to generate insights and recommendations.
  
• Demonstrated information management and quantitative skills, including working knowledge of IT infrastructure, various technologies/ platforms, and aligned vendor solutions with enterprise strategic priorities.
  
• Experience managing small to mid-size teams and delivering results.
  
• Thorough knowledge of cutting-edge data management tools, industry advances, etc.
  
• Superior project management/ consulting and leadership skills. Demonstrated ability to facilitate complex, mission critical projects and to develop, participate in and guide multi-disciplinary work teams. Manage task timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with Data Governance services or deliverables.
  
• Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues.
  
• Advanced understanding of data quality management. Knowledge of data governance and how it impacts business processes.
  
• Knowledge of master data management in a global environment, including data lifecycle and maintenance processes.
  
• Skills in MS Visio, Word and PowerPoint is a plus.
  
• Experience with reference data management tools at including Collibra, MS Excel, SQL query, etc., is a plus.
  
• Software development lifecycle knowledge, with background in agile philosophies and
  

Overview

We are looking for a technically strong, business-minded developer to design, build, and maintain internal applications and automations that improve how our team’s work. This role supports business processes, data, and technology and plays a key role in modernizing workflows across the organization. This role is suited for a strong mid-level to senior developer who can work independently while collaborating closely with team members and stakeholders.

While Microsoft Power Apps and Power Automate are core tools today, this role goes beyond low-code development. The ideal candidate brings strong fundamentals in application design, data flow, and user experience, with the ability to build scalable, secure, and well-documented solutions that can grow with business.

Key Responsibilities

• Design, build, and maintain end-to-end internal business applications using Microsoft Power Apps and related technologies.
• Develop business logic and workflow automation using Power Automate, integrating with internal and external data sources including Dataverse, SharePoint, SQL databases, and third-party APIs.
• Partner with stakeholders and leadership across multiple departments to understand business processes, gather requirements, and translate needs into practical, scalable technical solutions.
• Design secure, role-based solutions with appropriate permissions, governance controls, and environmental strategies following Power Platform ALM best practices.
• Ensure applications are well-structured with clean data flow, clear separation of logic, and thoughtful handling of edge cases and exceptions.
• Monitor, enhance, and support existing applications and automations to improve reliability, performance, and user adoption over time.
• Produce clear and thorough documentation covering business requirements, technical design, data structures, workflows, and known constraints.
• Contribute to and follow established development standards, templates, and best practices to ensure solutions are consistent, maintainable, and easy for other developers to support or extend.
• Provide technical guidance and information sharing with the team and collaborate on problem-solving with less-experienced developers.

Technical Requirements (Must Have)

• Hands-on experience building and maintaining custom, end-to-end applications using Power Apps.
• Strong experience developing business logic and workflows using Power Automate.
• Experience integrating multiple data sources, including Dataverse, SharePoint, SQL databases, and external APIs.
• Ability to design secure, role-based solutions with an understanding of Power Platform governance, environments, and ALM practices.
• Strong understanding of user-centered design principles and how they influence application structure, usability, and adoption.
• Proven ability to design solutions with well-organized data flow and clear movement of information between systems.
• Strong written communication skills, with the ability to create detailed technical and functional documentation.

Preferred Skills

• Power BI development experience using existing datasets and data models.
• Strong working knowledge of DAX and Power Query (M language).
• Experience building reports or dashboards that support operational or financial decision-making.

Experience Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field
• 3-5 years of experience designing and delivering business applications or workflow automation solutions.
• Demonstrated experience delivering end-to-end solutions.
• Experience partnering directly with business stakeholders to translate operational needs into scalable technical solutions.

UI & Front-End Development Foundations

Even when working within low-code platforms, developers in this role are expected to understand core UI and front-end concepts, including:

• HTML, CSS, and JavaScript fundamentals
• Component-based design and reusable UI patterns
• Responsive design principles
• Basic state management concepts
• Accessibility and usability best practices

Our recruiting process is centralized and is handled by our HR Department. If we are sent unsolicited resumes from recruiters, we will not pay any recruiting fees. Unsolicited resumes are any resumes sent to us by a recruiter who has not been pre-approved by HR, has not signed our contract, and has not been requested by our HR Department to search for a specific position.

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
• Better together:We check our egos at the door. We work together, so we win together.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Covenant Technology Partners is a US based Microsoft Partner, management and technology consulting and Managed Services firm specializing in helping our clients through innovative use of Microsoft technologies. Our team members grow in an energetic, team-oriented and entrepreneurial-minded firm with challenging consulting projects and Managed Services engagements. Covenant attracts highly qualified and diverse professionals nationwide with the right combination of business, technical and creative skills. Our consultants are motivated to make a personal impact on both the growth and success of the firm and their personal careers.

The Data & Analytics / Microsoft 365 Intern is a full-time, 12-week summer internship beginning in May and is structured as a dual-track experience. The intern’s time will be intentionally divided between:

• Managed Services, supporting operational Microsoft environments
• Data & AI Consulting, contributing to data analytics and applied AI initiatives

The program is designed to provide exposure to the full solution lifecycle—from operational support to solution delivery—while developing professional consulting skills, technical fundamentals, and business acumen.

The role emphasizes professional consulting skills, technical fundamentals, documentation, and continuous learning aligned with Covenant Technology Partners’ standards.

The work location for this role is flexible, but candidates based in St. Louis or near St. Louis may be better positioned for periodic in-person engagement.

Responsibilities:

Managed Services Rotation (Operational Experience)

• Assist with ticket triage and support workflows under supervision
• Support Microsoft 365 administration and governance activities (Teams, SharePoint, OneDrive, Exchange, Entra ID)
• Update runbooks and standard operating procedures
• Observe and document SLA, escalation, and operational processes
• Contribute to process improvement initiatives

Data & AI Consulting Rotation (Solution Delivery Experience)

• Assist with data preparation, basic data modeling, and reporting tasks
• Support Power BI, automation, or analytics solution development
• Contribute to applied AI or proof-of-concept initiatives under guidance
• Develop professional documentation including solution notes, diagrams, and handoff materials

Professional Development

• Engage in structured AI and Microsoft learning (2–3 hours per week)
• Participate in mentor and manager check-ins
• Attend internal enablement sessions and practice meetings
• Deliver a final capstone presentation summarizing contributions, learning outcomes, and improvement recommendations

Qualifications:

Education, License or Certification:

• Currently pursuing a Bachelor’s or a Master’s degree in Information Systems, Computer Science, Data Analytics, Business Analytics or related field

Experience:

• Foundational understanding of data concepts (tables, joins, relational structures)
• Exposure to SQL, reporting tools (e.g., Power BI), Microsoft 365, or Azure is a plus
• Strong written and verbal communication skills
• Demonstrated interest in both technology operations and data-driven solution delivery

We foster diversity, in part, by imposing a strict policy of non-discrimination. Employment decisions are made without regard to race, color, ethnicity, national origin, sex, sexual orientation, gender identity, age, religion, disability, veteran or military status, genetic information or other status protected by the law.

We value the unique skills and experiences that veterans and separated service members bring to our workforce. While serving our country you have gained skills such as leadership, flexibility, and agility, which will help to make you successful here. We are dedicated to supporting military families and ensuring that we provide a welcoming environment for our country’s heroes. We hope you consider joining the Covenant family.

Covenant is committed to the full inclusion of all qualified individuals. As part of this commitment, Covenant will ensure that persons with disabilities are provided reasonable accommodation. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

Principal Program Manager: Data Center Infrastructure & Rack Integration

Based onsite in Austin, TX

What can you expect to do?

• Customer-Facing Program Leadership : Serve as the primary liaison for global cloud customers, leading cross-functional teams and external vendors to deliver tailored infrastructure solutions. Anticipates, meets and exceeds expectations by solving problems quickly and effectively, making customer satisfaction a priority.
• Modular Data Center Expertise : Manage the design, planning, assembly, configuration, testing, and global delivery of Modular Data Center solutions and other Data Center Infrastructure Programs.
• End-to-End Rack Integration : Manage the design, planning, assembly, configuration, testing, and global delivery of integrated rack solutions.
• Enterprise Cloud Solutions : Develop and deploy highly customized enterprise cloud infrastructure for large-scale customers, ensuring alignment with technical and business requirements.
• Global Coordination : Collaborate with engineering, supply chain, procurement, logistics, and multiple global integrator facilities to ensure seamless execution and customer satisfaction.
• Cross-Functional Team Management : Lead diverse teams across Production Operations, Procurement, Logistics, and Customer Care to fulfill infrastructure needs with timely execution and post-sales support.
• Technical Oversight : Coordinate and execute the design, build, and test of various rack configurations, ensuring quality, scalability, and performance standards are met.
• Operational Excellence : Drive continuous improvement in program execution, risk management, and operational efficiency across global integration centers. Responsible for program planning and scheduling, including the timing and resources required to deliver upon key milestones / deliverables and the implications from key interdependencies.

What is the experience needed to be successful in this role?

• Bachelor’s degree in Engineering, Business, or related field required; Master’s preferred.
• 12-15+ years of experience in program management in rack integration, modular data centers, or cloud infrastructure.
• Proven success in customer-facing roles managing large-scale, global programs.
• Proven ability to develop effective, matrixed, cross-organization programs and best practices, collaborating and communicating across business and technology stakeholders and multiple geographies.
• Deep understanding of MDC architecture, rack-level integration, and hyperscale cloud infrastructure.
• Strong leadership, communication, and stakeholder management skills.
• PMP or equivalent certification is a plus.

Benefits Package with Jabil

Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes:

• Competitive Base Salary
• Annual Bonus
• Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options
• 401K Match
• Employee Stock Purchase Plan
• Paid Time Off
• Tuition Reimbursement
• Life, AD&D, and Disability Insurance
• Commuter Benefits
• Employee Assistance Program
• Pet Insurance
• Adoption Assistance
• Annual Merit Increases
• Community Volunteer Opportunities

Principal Program Manager: Data Center Infrastructure & Rack Integration

Based onsite in Austin, TX

What can you expect to do?

• Customer-Facing Program Leadership : Serve as the primary liaison for global cloud customers, leading cross-functional teams and external vendors to deliver tailored infrastructure solutions. Anticipates, meets and exceeds expectations by solving problems quickly and effectively, making customer satisfaction a priority.
• Modular Data Center Expertise : Manage the design, planning, assembly, configuration, testing, and global delivery of Modular Data Center solutions and other Data Center Infrastructure Programs.
• End-to-End Rack Integration : Manage the design, planning, assembly, configuration, testing, and global delivery of integrated rack solutions.
• Enterprise Cloud Solutions : Develop and deploy highly customized enterprise cloud infrastructure for large-scale customers, ensuring alignment with technical and business requirements.
• Global Coordination : Collaborate with engineering, supply chain, procurement, logistics, and multiple global integrator facilities to ensure seamless execution and customer satisfaction.
• Cross-Functional Team Management : Lead diverse teams across Production Operations, Procurement, Logistics, and Customer Care to fulfill infrastructure needs with timely execution and post-sales support.
• Technical Oversight : Coordinate and execute the design, build, and test of various rack configurations, ensuring quality, scalability, and performance standards are met.
• Operational Excellence : Drive continuous improvement in program execution, risk management, and operational efficiency across global integration centers. Responsible for program planning and scheduling, including the timing and resources required to deliver upon key milestones / deliverables and the implications from key interdependencies.

What is the experience needed to be successful in this role?

• Bachelor’s degree in Engineering, Business, or related field required; Master’s preferred.
• 12-15+ years of experience in program management in rack integration, modular data centers, or cloud infrastructure.
• Proven success in customer-facing roles managing large-scale, global programs.
• Proven ability to develop effective, matrixed, cross-organization programs and best practices, collaborating and communicating across business and technology stakeholders and multiple geographies.
• Deep understanding of MDC architecture, rack-level integration, and hyperscale cloud infrastructure.
• Strong leadership, communication, and stakeholder management skills.
• PMP or equivalent certification is a plus.

Benefits Package with Jabil

Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes:

• Competitive Base Salary
• Annual Bonus
• Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options
• 401K Match
• Employee Stock Purchase Plan
• Paid Time Off
• Tuition Reimbursement
• Life, AD&D, and Disability Insurance
• Commuter Benefits
• Employee Assistance Program
• Pet Insurance
• Adoption Assistance
• Annual Merit Increases
• Community Volunteer Opportunities

About Evergreen

Evergreen is the professional services division of Insight Global. At our core, we are innovative problem solvers who add value through talent and technology. We hire for long-term growth and fulfillment while fostering a people-first culture that supports one another and strives to Be the Light to the world around us. With access to talent in 50+ countries and delivery capabilities globally, we deliver world-class technical and talent services to Fortune 500 clients to power innovation and transformation.

We hire for people who embody our Shared Values: Everyone Matters, We Take Care of Each Other, Leadership is Here to Serve, High Character and Hard Work Above All Else, Always Know Where You Stand, Unity in Diversity, and Hustle & Grit.

These values are the fabric of our company. This is who we are, this is what we live by, and this is what shapes everything we do.

About the Role

This senior leadership role blends deep technical expertise with business transformation strategy. The Director of Technology Solutions will serve as a trusted advisor to executive leaders across Fortune 100 enterprises, driving large-scale technology and business transformation through the use of Data, AI, Cloud, and Engineering services. This individual will combine technical vision, business acumen, and consultative influence to shape how next-generation technology accelerates enterprise value and growth for our customers.

What You’ll Do

Strategic Leadership and Transformation

• Serve as the primary technical strategist and executive advisor to C-suite stakeholders, articulating how integrated data, AI, cloud, and engineering solutions enable innovation, operational excellence, and market differentiation.
• Lead executive-level strategy sessions and transformation roadmap discussions that align Insight Global's technology portfolio offering with the client's strategic priorities.
• Represent the company's thought leadership at key industry and executive forums, positioning the organization as a trusted transformation partner.
• Translate emerging technology trends and market insights into practical, outcome-driven strategies for product, engineering, and sales teams.
• Build and sustain high-impact relationships with senior customer decision-makers to identify and shape new opportunities for growth and innovation.

Technology Strategy and Execution

• Architect customer enterprise technology centric transformation leveraging data platforms, AI/ML models, cloud-native architectures, and modern engineering frameworks.
• Partner cross-functionally with product, delivery, and sales teams to drive execution excellence across complex digital transformation initiatives.
• Provide technical and strategic guidance in structuring large-scale digital and AI-led transformation deals.
• Anticipate client challenges and proactively recommend technology-led solutions that deliver measurable business value.
• Champion continuous innovation by integrating AI, data modernization, and engineering accelerators into client solutions.

What You’ll Bring

• 20+ years of experience in technology consulting, solution architecture, or technical sales, including 8+ years engaging with Fortune 100 clients.
• Strong technical expertise across Data architectures, AI/ML platforms, Cloud ecosystems (Azure, GCP, AWS), and modern application/engineering disciplines.
• Strong technology skillset aided by business acumen and consultative mindset, ideally grounded by an MBA or significant pre-sales/technical sales experience interfacing with customer c-level executives.
• Proven ability to communicate complex technology strategies clearly to executive audiences, including VP and C-level clients.
• Demonstrated success in leading or influencing large-scale digital transformation programs at Fortune-100 companies.
• Exceptional skills in executive presentation, negotiation, and relationship management.
• A collaborative and visionary leader comfortable influencing cross-functional teams across business and technology domains.
• Strong negotiation and problem-solving abilities.
• Willingness to travel for client engagements and strategic events as needed.
• Proven experience operating within a vendor–client environment, managing client executive relationships, and solution delivery
• Proven experience operating within a vendor–client environment, managing client executive relationships and solution delivery.

Open date: March 4, 2026

Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Mar 4, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.

Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.

Please Note:

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.

If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.

The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.

Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.

Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.

Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.

Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.

Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.

Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.

Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.

Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.

Please note:

The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to learn whether the school is reviewing applications for a specific position. If no future review date is specified, your application may not be considered at this time.

UC Berkeley has several policies and programs to support all employees as they balance work and family.

Program:

Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources

Course Descriptions: courses/datasci

A bachelor's degree (or equivalent international degree).

Minimum 4 years of professional experience in the relevant field.

Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.

An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.

10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.

Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.

Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.

Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.

Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.

Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.

Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.

Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):

• 
  
• Applied Cloud Computing for Data Science
  
• Applied Machine Learning
  
• Applied Statistics(R)
  
• Capstone Projects - real-world projects and industry collaboration
  
• Computer Vision
  
• Data Visualization and Communication
  
• Deep Learning and Neural Networks
  
• Edge and IoT Data Science
  
• Experiments and Causal Inference
  
• Fundamentals of Data Engineering
  
• Generative AI
  
• Introduction to Data Science Programming (Python)
  
• Leadership in Data-Driven Transformation
  
• Machine Learning at Scale
  
• Machine Learning Systems Engineering
  
• Natural Language Processing with Deep Learning
  
• Privacy, Security, and Ethics in Data Science
  
• Regression and Time Series Analysis
  
• Research Design and Data Analysis
  
• Scalable Data Mining and Analysis
  
• Statistical Methods for Discrete Response, Time Series, & Panel Data
  
• Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.

  
  
  

  The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.

  
  
  

  Please indicate which class(es) you believe you are qualified to teach.

  
  

• Teaching Evaluations, if available (Optional)

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

• 
  
• REQUIRED: NetSuite experience
  
• PREFERRED: Ability to work with multiple levels within the organization to document and collect requirements and then translate these requirements into intuitive, actionable reporting solutions through NetSuite Analytics Warehouse (NSAW).
  
• Create standards for reporting, dashboards, and visualization solutions.
  
• Creates reusable data models that are aligned to governance and department standards.
  
• Document business definitions, data logic and repot specifications.
  
• Create standards around change management for data models and NSAW.
  
• Validate and ensure data accuracy, consistency and reliability across all data models and reporting.
  
• Create documentation, hands on training and recorded training to increase end user acceptance and engagement.
  
• Other duties as assigned.
  

• 
  
• Bachelor's degree in computer information systems, or related field.
  
• 5-10 years hands on experience.
  
• Experience with Power BI, Tableau, NetSuite Analytics Warehouse, or other major Business Intelligence Tools.
  
• Transforming complex enterprise data into usable models, and visual designs for end users.
  
• Effective analytical thinking and problem-solving skills, with ability to translate business questions into analytical requirements
  
• Effective communication skills for partnering with non-technical stakeholders and document, validate and provide quality assurance skills.
  
• Must be a US Citizen
  
• Excellent verbal and written communication skills.
  

• 
  
• Proficient in Microsoft Office Suite or related software.
  
• Excellent organizational skills and attention to detail.
  
• Excellent interpersonal skills.
  

• 
  
• Microsoft Office Suite or related software.
  

• 
  
• No supervisory responsibilities for this position.
  

• 
  
• Prolonged periods of sitting at a desk and working on a computer.
  
• Must be able to lift 15 pounds at times.
  
• Frequently required to stand, walk, stoop, kneel, crouch, or crawl.
  

• 
  
• Health Benefits - (Medical, Dental & Vision Insurance)
  
• Flexible Spending Account Options
  
• 401K Plan
  
• Employer paid Life & Disability Insurance
  
• Paid Time Off
  
• Employee Referral Program
  
• Employee Assistance Program (EAP)
  

Overview
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

The Office of Institutional Research and Planning (IRP) at Georgia Tech is a research and analytics service unit dedicated to supporting the campus community. Our team of institutional research and data analytics professionals combines technical and creative skills to inform institutional strategic decision-making, planning, and research across campus. In addition to institutional reporting and compliance, IRP provides data education, support, and resources to all campus units.

Visit our website to learn more about what we do:

Data Analysts analyze data, interpret trends and patterns, and provide insights to support decision-making processes. They develop data models, perform data mining and statistical analysis, and collaborate with stakeholders to optimize data-driven strategies.

Job Duty 1 -
Collect, analyze, and interpret data from various sources, databases, and systems to extract insights, trends, and patterns that inform business decisions, strategies, and operations.

Job Duty 2 -
Develop and maintain data models, queries, and reports using SQL, Python, R, or data analysis tools to perform data cleansing, transformation, and visualization tasks.

Job Duty 3 -
Identify data quality issues, anomalies, and discrepancies in datasets, conduct data validation, data profiling, and data integrity checks to ensure data accuracy and reliability.

Job Duty 4 -
Create data visualizations, dashboards, and data analytics reports to communicate data findings, trends, and key metrics to stakeholders, management, and decision-makers.

Job Duty 5 -
Conduct ad-hoc data analysis, exploratory data analysis, and statistical analysis to support decision-making processes, performance monitoring, and data-driven insights.

Job Duty 6 -
Perform data mining, predictive analytics, and machine learning tasks to uncover hidden patterns, predict outcomes, and drive data-driven decision-making in organizations.

Job Duty 7 -
Utilize data analytics tools, business intelligence platforms, and statistical software packages to conduct data analysis, data modeling, and data visualization tasks efficiently and accurately.

Job Duty 8 -
Stay current on data analytics trends, tools, and methodologies through training, certifications, and industry publications to enhance data analysis skills and knowledge.

Job Duty 9 -
Collaborate with business users, data scientists, and Information Technology teams to define data requirements, analytics requirements, and data-driven solutions for business problems and opportunities.

Job Duty 10 -
Perform other job-related duties as assigned.

The Institutional Research Data Analyst will also be expected to perform various duties specific to institutional research, including but not limited to:

• Responding to intermediate to high difficulty/complexity ad-hoc data and analysis requests
• Adhering to federal, state, and institutional policies, regulations, and requirements related to data security, privacy, and governance

• Completing or supporting the completion of externally-driven compliance and data-related reporting including

  • Federal, e.g., IPEDS, NSF-HERD, NSF-GSS, etc.
  • State, e.g., USG data collections, data requests, etc.
  • Higher education organizations, e.g., AAUDE, SREB, NSC, accrediting bodies, etc.

Educational Requirements
Bachelor's Degree in related discipline or equivalent combination of education and experience. Advanced certification may be preferred or required (some profiles may require additional education).

Required Experience
Four or more years of relevant experience.

Annual Salary Range: $75,751 to $80,000

SKILLS
o Performs all the standard and technical aspects of the job
o Applies in-depth professional, technical, or industry knowledge to manage significantly complex
assignments/projects/programs
o Advanced knowledge of principles and practices of a particular field of specialization and Institute
policies, practices, and procedures

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

Job Title: Principal Mechanical Integration Engineer

Job Family : Mechanical Design Engineering 

Organization : Data Center Infrastructure Team

Location: Remote* OR Austin, TX

*Requires up to 20% domestic and/or international travel (rare)

How will you make an impact? 

The Principal Mechanical Design Engineer (Data Center Infrastructure) is a technical leader responsible for the architecture, integration, and validation of advanced mechanical systems supporting hyperscale data center environments. This role requires deep expertise in liquid cooling technologies (single-phase and two-phase), hydronic system design, structural integration, and manufacturable rack-level infrastructure solutions.

This role is responsible for defining system performance requirements, developing technical specifications, selection and integration of critical components, and leading mechanical design from concept through production release. Responsibilities include wetted material selection, thermal and structural analysis, fastening strategies, component layout, and design for manufacturability. Partners cross-functionally to deliver reliable, scalable, and cost-effective Data Center Infrastructure solutions while advancing innovation in liquid cooling performance.

What will you do?

• Lead the end-to-end mechanical design and engineering of hyperscale Data Center Infrastructure (DCI) systems, including liquid-cooled rack assemblies, CDUs, manifolds, enclosures, structural frames, and associated hydronic piping systems.

• Serve as the technical authority for single-phase and two-phase liquid cooling architectures, including primary and secondary loop design, in-rack distribution, and system integration within hyperscale data center environments.

• Define and validate operational performance requirements for liquid-cooled infrastructure, including pressure ratings, hydrostatic limits, temperature ranges, flow rates and uniformity, thermal expansion, durability, and serviceability.

• Design, analyze, and validate machined components, welded fabrications, manifolds, and structural systems using advanced engineering principles, including stress analysis, finite element analysis (FEA), flow modeling, and structural load calculations to ensure mechanical integrity and code compliance.

• Lead wetted material selection and compatibility analysis for liquid cooling systems, including corrosion mitigation strategies, surface treatments, cleanliness standards, and long-term durability considerations.

• Develop and review CAD models and complete technical data packages using CREO, SolidWorks, or equivalent tools; ensure design accuracy, manufacturability, and system-level integration.

• Author and approve technical specifications for piping systems, rack-level cooling infrastructure, and hydronic components, including installation guidelines, maintenance procedures, testing requirements, and compliance with applicable standards (ASME, ISO).

• Establish and oversee validation protocols including hydrostatic pressure testing, leak detection and mitigation, flow resistance analysis, and corrosion verification to ensure regulatory compliance and operational reliability.

• Evaluate customer design proposals and technical specifications to assess feasibility, manufacturability, cost, and risk; provide recommendations to optimize performance and total cost of ownership.

• Lead cross-functional design reviews with electrical, thermal, manufacturing, quality, and supply chain teams to ensure full system integration and compliance with product specifications and applicable plumbing and hydronic codes.

• Optimize rack manifold design and manufacturing processes, including machining, welding, surface finishing, connection interfaces, venting and draining strategies, and flow path optimization to enhance performance and manufacturability.

• Drive continuous improvement in manufacturing assembly methods and tooling in collaboration with production teams and equipment vendors to improve quality, scalability, and cost efficiency.

• Lead root cause investigations for complex mechanical failures identified during validation or field deployment and implement corrective design improvements.

• Provide technical leadership in vendor qualification and management for mechanical components and liquid cooling subsystems.

• Identify and mitigate technical risks impacting performance, schedule, or cost, and contribute to R&D initiatives advancing liquid cooling technologies and system innovation.

MINIMUM QUALIFICATIONS

Education :  

• Bachelor’s degree in Mechanical Engineering, Systems Engineering, or a related engineering discipline from an accredited university.

Experience :  

• 8 years' experience in mechanical design and integration of mission-critical systems.

• Proven track record of successful system designs and implementations in a relevant industry

• Strong understanding of mechanical systems, integration strategy, and system coordination

• Familiarity with industry standards and regulations related to Energy Storage Systems and Data Center Infrastructure is preferred.

• Excellent problem-solving skills and attention to detail

• Strong communication and teamwork abilities

PREFERRED QUALIFICATIONS

• Master’s Degree in Mechanical Engineering

• Professional Engineer (PE) License

Job Title: Principal Mechanical Integration Engineer

Job Family : Mechanical Design Engineering 

Organization : Data Center Infrastructure Team

Location: Remote* OR Austin, TX

*Requires up to 20% domestic and/or international travel (rare)

How will you make an impact? 

The Principal Mechanical Design Engineer (Data Center Infrastructure) is a technical leader responsible for the architecture, integration, and validation of advanced mechanical systems supporting hyperscale data center environments. This role requires deep expertise in liquid cooling technologies (single-phase and two-phase), hydronic system design, structural integration, and manufacturable rack-level infrastructure solutions.

This role is responsible for defining system performance requirements, developing technical specifications, selection and integration of critical components, and leading mechanical design from concept through production release. Responsibilities include wetted material selection, thermal and structural analysis, fastening strategies, component layout, and design for manufacturability. Partners cross-functionally to deliver reliable, scalable, and cost-effective Data Center Infrastructure solutions while advancing innovation in liquid cooling performance.

What will you do?

• Lead the end-to-end mechanical design and engineering of hyperscale Data Center Infrastructure (DCI) systems, including liquid-cooled rack assemblies, CDUs, manifolds, enclosures, structural frames, and associated hydronic piping systems.

• Serve as the technical authority for single-phase and two-phase liquid cooling architectures, including primary and secondary loop design, in-rack distribution, and system integration within hyperscale data center environments.

• Define and validate operational performance requirements for liquid-cooled infrastructure, including pressure ratings, hydrostatic limits, temperature ranges, flow rates and uniformity, thermal expansion, durability, and serviceability.

• Design, analyze, and validate machined components, welded fabrications, manifolds, and structural systems using advanced engineering principles, including stress analysis, finite element analysis (FEA), flow modeling, and structural load calculations to ensure mechanical integrity and code compliance.

• Lead wetted material selection and compatibility analysis for liquid cooling systems, including corrosion mitigation strategies, surface treatments, cleanliness standards, and long-term durability considerations.

• Develop and review CAD models and complete technical data packages using CREO, SolidWorks, or equivalent tools; ensure design accuracy, manufacturability, and system-level integration.

• Author and approve technical specifications for piping systems, rack-level cooling infrastructure, and hydronic components, including installation guidelines, maintenance procedures, testing requirements, and compliance with applicable standards (ASME, ISO).

• Establish and oversee validation protocols including hydrostatic pressure testing, leak detection and mitigation, flow resistance analysis, and corrosion verification to ensure regulatory compliance and operational reliability.

• Evaluate customer design proposals and technical specifications to assess feasibility, manufacturability, cost, and risk; provide recommendations to optimize performance and total cost of ownership.

• Lead cross-functional design reviews with electrical, thermal, manufacturing, quality, and supply chain teams to ensure full system integration and compliance with product specifications and applicable plumbing and hydronic codes.

• Optimize rack manifold design and manufacturing processes, including machining, welding, surface finishing, connection interfaces, venting and draining strategies, and flow path optimization to enhance performance and manufacturability.

• Drive continuous improvement in manufacturing assembly methods and tooling in collaboration with production teams and equipment vendors to improve quality, scalability, and cost efficiency.

• Lead root cause investigations for complex mechanical failures identified during validation or field deployment and implement corrective design improvements.

• Provide technical leadership in vendor qualification and management for mechanical components and liquid cooling subsystems.

• Identify and mitigate technical risks impacting performance, schedule, or cost, and contribute to R&D initiatives advancing liquid cooling technologies and system innovation.

MINIMUM QUALIFICATIONS

Education :  

• Bachelor’s degree in Mechanical Engineering, Systems Engineering, or a related engineering discipline from an accredited university.

Experience :  

• 8 years' experience in mechanical design and integration of mission-critical systems.

• Proven track record of successful system designs and implementations in a relevant industry

• Strong understanding of mechanical systems, integration strategy, and system coordination

• Familiarity with industry standards and regulations related to Energy Storage Systems and Data Center Infrastructure is preferred.

• Excellent problem-solving skills and attention to detail

• Strong communication and teamwork abilities

PREFERRED QUALIFICATIONS

• Master’s Degree in Mechanical Engineering

• Professional Engineer (PE) License

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

Job Description

What you will do – Essential Responsibilities

• Given long term strategic goals, can lay out a path across many versions.
• Participates in and supports initiatives outside of main area of responsibility.
• High degree of influence of data product direction and has ownership over large components.
• Thinks both strategically and tactically, keeping in mind both technical goals and company goals.
• Provides technical leadership for projects including 3–4 senior level individuals.
• The data engineer will be considered a blend of data and analytics “guru.” This role will promote the available data and analytics capabilities and expertise to business unit leaders and educate them in leveraging these capabilities in achieving their business goals.
• Work with data governance team members and information stewards and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.
• May be required to present at conferences to demonstrate company’s technical prowess.

Purpose of the role

Senior Principal Engineers partner with Engineers and Solution Architects to develop solutions and implement standards that ensure an unrivaled data experience. You are an expert in your craft and seen as a platform and implementation owner. You are an active contributor in the industry and have a passion for continuous learning.

Senior Principal Engineers practice hands-on development, have oversight of the technical tasks of others, and are the owners of the standards and best practices. Our Senior Principal Engineers act as a technical mentor to others and is an expert in supporting multiple areas of the business.

Qualifications and Requirements

Basic Qualifications

• Bachelor’s Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required and 8+ years of work experience required in data management disciplines including [data integration, modeling, optimization and data quality], and/or other areas directly relevant to data engineering responsibilities and tasks; multiple certifications preferred or
• Master’s Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required and 6+ years of work experience required in data management disciplines including [data integration, modeling, optimization and data quality], and/or other areas directly relevant to data engineering responsibilities and tasks; multiple certifications preferred.

Preferred Qualifications

• Expert experience working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. These should include [ETL/ELT, data replication/CDC, message-oriented data movement]
• Strong/expert experience with multiple advanced analytics tools languages such as [R, Python, Java, C++, Scala, others].
• Strong/expert experience with popular database programming languages including [SQL, PL/SQL, others] on both relational and non-relational databases.
• Strong experience with cloud data platforms such as Databricks, Snowflake
• Expert experience with data discovery, analytics, and data quality controls
• Expert experience in data modeling and ontologies
• Strong experience with microservices to Serve Data
• Strong experience in cloud platforms such as Azure, AWS, GCP

Work Location and Arrangement: This role will be based out of the CarMax Midtown office, Richmond VA or CarMax Technology Hub, Plano TX and have a Hybrid work arrangement.

• Associates based in Richmond work onsite 5 days per week.
• Associates based in Plano work onsite 2 days per week.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

About CarMax

CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 250 locations nationwide.

Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.

Our Commitment to Diversity and Inclusion:

CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.

CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.