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Director of Data Center Development.

Dallas or North Virginia.

A leading mission‑critical developer is seeking a Director of Data Center Development to drive end‑to‑end delivery of large‑scale data center projects.

Role Highlights

• Lead full development lifecycle: site selection, entitlements, permitting, utilities, and execution

• Manage multiple projects, coordinating internal teams and external partners

• Shape market strategy, grow the development pipeline, and support due diligence

• Oversee budgets, schedules, financial models, and risk analysis

• Represent the company with clients, utilities, agencies, and stakeholders

What You Bring

• 8+ years in real estate/infrastructure development; data center experience preferred

• Expertise in zoning, land use, interconnection, environmental permitting

• Strong financial modeling, project leadership, and communication skills

• Ability to travel periodically

A great opportunity for a strategic development leader to influence major mission‑critical growth.

Senior Vice President, Data Center Development

Location: Dallas, Texas (Hybrid)

The Opportunity

We are working with a well-capitalised infrastructure platform backed by institutional investors to appoint a Senior Vice President of Data Center Development to support the next phase of U.S. growth.

This is a senior leadership position with responsibility for driving the development of hyperscale and AI-driven data center projects across key U.S. markets, with an initial focus on Texas and the broader ERCOT region.

The role will suit an individual who can operate at both a strategic and execution level - originating opportunities, navigating complex stakeholder environments, and advancing projects through to shovel-ready.

The Role

• Lead the full development lifecycle of large-scale data center projects (100MW+)
• Identify, evaluate, and secure strategic sites with a strong emphasis on power access
• Manage utility engagement, interconnection processes, and power strategy
• Oversee entitlement, permitting, and local stakeholder coordination
• Structure and negotiate land agreements, joint ventures, and development partnerships
• Work closely with capital partners to align development strategy with investment objectives
• Interface with hyperscale customers and support commercial discussions where required
• Partner with internal construction and delivery teams to ensure a seamless transition into execution

The Individual

• Proven experience delivering large-scale infrastructure or data center developments in the U.S.
• Strong understanding of power markets, utility processes, and grid constraints (ERCOT experience preferred)
• Track record of originating and advancing projects from early-stage through to notice to proceed
• Commercially minded, with experience structuring deals and managing external partners
• Comfortable operating in a fast-paced, entrepreneurial environment
• Able to manage multiple projects and stakeholders across different markets

Why This Role

• Direct influence over a significant U.S. development pipeline
• High visibility with senior leadership and investment partners
• Opportunity to shape strategy in one of the fastest-growing sectors globally
• Platform for progression into C-suite leadership

AI & Business Systems Manager

Christopher Homes, a nationally acclaimed luxury residential developer and home builder, has been creating Nevada’s finest neighborhoods since 1981. Within four decades, we have developed over 2,000 homes with a total value of over $1 Billion.

Our experience and reputation for developing luxury residential neighborhoods is unmatched. Of note, Christopher Homes has been awarded over 150 national and local awards for design excellence, which include: 19 Home of the Year awards, 7 Community of The Year awards, and recognized as the Homebuilder of the Year by the National Association of Homebuilders (NAHB), and numerous other awards.

Our Purpose



Enhancing lives by creating innovative homes and communities that inspire and reflect the unique interests of our residents. How we do anything is how we do everything. We are creators. The foundation of our success is rooted in our culture and our most valuable resource is our people. We are a diverse group made up of smart, creative, and dedicated people that are passionate about transforming the modern living experience.

Position Overview

The AI & Business Systems Manager is a senior, hands-on role responsible for designing, governing, and operationalizing artificial intelligence across Christopher Homes’ real estate development and luxury homebuilding platform. The manager will report to our CFO. This role requires deep, proven experience in real estate development and residential construction combined with advanced applied AI, data, and enterprise systems expertise.

The manager can work on-site or have a hybrid schedule.

This individual will lead the transformation of fragmented data and disconnected systems into a clean, structured, AI-ready ecosystem that improves efficiency, reduces costs, enhances forecasting, and elevates the customer experience. This is not a research role—this position focuses on practical, secure, ROI-driven AI embedded directly into daily workflows.

This is a full-time, individual contributor role with enterprise-wide responsibility and visibility.

Key Responsibilities

AI STRATEGY & IMPLEMENTATION (PRIMARY FOCUS)

·      Design and execute an enterprise AI roadmap aligned with real estate development and homebuilding workflows

·      Embed AI directly into core systems including Procore, ERP, Buildtopia, HubSpot, and Microsoft platforms

·      Identify and deploy AI use cases for:

–        Cost control and variance detection

–        Schedule and cycle-time optimization

–        Purchasing and vendor analysis

–        Warranty trend prediction and root-cause analysis

–        Marketing performance and lead intelligence

·      Automate repetitive, manual, and error-prone processes using AI and intelligent workflows

·      Ensure all AI solutions are secure, compliant, and aligned with data privacy best practices

DATA ARCHITECTURE, CLEANUP & GOVERNANCE

·      Assess, clean, normalize, and structure data across all business systems

·      Establish data standards, naming conventions, and governance policies

·      Eliminate duplication, silos, and inconsistent data definitions

·      Ensure data integrity to support reliable AI-driven insights and decision-making

·      Prepare data architecture to support future scalability and AI maturity

REAL ESTATE DEVELOPMENT & CONSTRUCTION SYSTEMS LEADERSHIP

Serve as the internal expert on how AI supports:

              – Land development

            – Vertical construction

-- Purchasing and contracts

            – Design center operations

            – Warranty and post-close service

·      Deeply understand how data flows through real estate development and homebuilding lifecycles

·      Optimize system usage to reflect how the business actually operates—not generic software assumptions

·      Partner with vendors, consultants, and software providers during system enhancements or ERP transitions

BUSINESS PARTNERSHIP & CHANGE MANAGEMENT

·      Translate real estate development and construction challenges into AI-enabled solutions

·      Partner closely with executive leadership and department heads

·      Educate teams on AI tools, best practices, and responsible usage

·      Adoption of AI-enabled workflows across the organization

REPORTING, FORECASTING & DECISION INTELLIGENCE

·      Build AI-powered dashboards, reports, and forecasting tools

·      Improve visibility into costs, schedules, risks, and performance

·      Enable leadership to make faster, more accurate, data-driven decisions

REQUIRED QUALIFICATIONS   

·      8+ years of experience in real estate development, residential construction, or homebuilding environments

·      Demonstrated, hands-on experience applying AI to real business systems

·      Deep understanding of development and construction workflows, terminology, and financial drivers

·      Proven ability to organize, clean, and govern complex operational and financial data

·      Experience with enterprise systems such as:

            – Procore

            – ERP systems (Sage 100 Contractor or similar)

             – Buildtopia (Purchasing, Design Center, Construction and Warranty)

            – CRM & Marketing platforms

            – Microsoft ecosystem (including Copilot)

·      Strong understanding of data security, privacy, and compliance in business environments

·      Ability to operate independently and drive outcomes without direct supervision

STRONGLY PREFERRED

·      Luxury single-family or for-rent residential development experience

·      Experience leading ERP transitions or system integrations

·      Applied knowledge of predictive analytics and automation in construction

·      Ability to communicate complex technical concepts to non-technical stakeholders

IDEAL CANDIDATE PROFILE

·      Deeply grounded in real estate development and construction

·      Business-first mindset with strong technical execution

·      Focused on measurable ROI, efficiency, and cost savings

·      Disciplined, pragmatic, and trustworthy with sensitive data

·      Comfortable building foundational systems before scaling AI initiatives

DEPLOY has been retained to find a Reporting & Data Architect Lead combines advanced reporting development with enterprise-level data governance and architectural leadership. In this role, you will own our client's enterprise reporting platform—designing robust Power BI solutions, managing shared data models, and ensuring the reporting environment remains secure, scalable, and high-performing.

You will also own our client's enterprise reporting standards and governance framework, ensuring reporting across all departments is consistent, trusted, and aligned with best practices. This includes defining reporting conventions, reviewing changes, onboarding departmental report creators, and stewarding enterprise reporting assets such as certified datasets and endorsed reports.

At the enterprise level, you will architect our client's data framework—defining how data is structured, named, documented, and shared across ERP, operational, manufacturing, and corporate systems. You will own the enterprise data dictionary, the centralized semantic model, and key architectural decisions around Microsoft Fabric and other data tooling. This role interacts frequently with executives to align data strategy with organizational growth and reporting needs.

Key Responsibilities

Enterprise Reporting (Hands-On Development)

• Build, optimize, and maintain enterprise-grade Power BI reports, dashboards, datasets, and data models.
• Develop and govern shared semantic models and reusable datasets that power enterprise-wide reporting.
• Use Microsoft Fabric, Dataverse, and related ETL/data management tools to shape and integrate reporting data sources.
• Manage dataset refresh schedules, performance tuning, workspace organization, gateway configuration, and reporting system reliability.
• Implement row-level security (RLS), workspace access patterns, and enterprise reporting permissions—Responsible, with the Director of Technology Accountable.
• Manage reporting governance artifacts including certified datasets, endorsed reports, and enterprise workspace standards.
• Support reporting scalability as our client grows (new factories, new business units, new product lines).

Enterprise Reporting Standards & Governance

• Own our client's enterprise reporting standards framework, covering naming conventions, modeling patterns, documentation practices, lifecycle management, visual design standards, and change control.
• Govern reporting development and deployment across the organization to ensure consistency and prevent duplicate or conflicting models.
• Review and approve reporting change requests, data model modifications, and access requests.
• Lead documentation and enablement for departmental report creators through training, guidance, and structured onboarding.
• Provide strategic direction around reporting maturity, sustainability, and enterprise alignment.

Enterprise Data Architecture

• Design and maintain our client's enterprise data architecture framework across ERP, operational, manufacturing, and corporate systems.
• Own the enterprise data dictionary, defining canonical field names, table structures, business definitions, and version control practices.
• Build and govern the centralized semantic model that powers reporting across the company.
• Advise and strongly influence enterprise-level decisions around Microsoft Fabric, data modeling strategy, and long-term architectural direction—and own the work that follows those decisions.
• Collaborate with engineering and system owners to coordinate schema changes, data integrations, and cross-system alignment.

Leadership & Collaboration

• Partner with C-suite and senior leaders to define reporting roadmaps, enterprise priorities, and data strategy.
• Communicate complex architectural concepts in clear, business-friendly terms.
• Lead cross-functional initiatives that require unified data structures or scalable reporting.
• Apply automation (Power Automate, Fabric pipelines) and AI tools to improve reporting efficiency, data quality, and governance workflows.

Ideal Candidate Profile

• Deep hands-on expertise with Power BI, Microsoft Fabric, data modeling, and cloud data platforms.
• Track record of establishing and enforcing enterprise reporting standards and governance.
• Strong architectural intuition: semantic modeling, master data definition, cross-system alignment, and scalable design.
• Able to operate as both an individual contributor and a strategic leader.
• Experience managing reporting governance artifacts (certified datasets, endorsed reports, workspace strategy).
• Comfortable influencing architectural decisions and guiding technical execution.
• Strong command of foundational tools and languages such as:
• DAX
• Power Query / M
• SQL
• Fabric pipelines / ETL tooling
• Experience with automation and AI-assisted analytics workflows.

The Manager of Data is responsible for overseeing the collection, management, and analysis of institutional data to support decision-making and strategic planning. This role involves leading a team of data analysts and ensuring data integrity, security, and compliance with relevant regulations. Additionally, the manager collaborates with various departments to develop data governance policies and implement effective data management practices that enhance the institution's ability to leverage data for improved outcomes.

Job Duty 1 -
Oversee the development and implementation of data management strategies to ensure the accurate collection, storage, and retrieval of institutional data.

Job Duty 9 -
Collaborate with academic and administrative departments to identify data needs and develop solutions that enhance data accessibility and usability.

Job Duty 10 -
Perform other duties as assigned.

Job Duty 2 -
Lead a team of data analysts in conducting data analysis and reporting to support institutional decision-making and strategic initiatives.

Job Duty 3 -
Establish and enforce data governance policies to ensure data quality, integrity, and compliance with relevant regulations and standards.

Job Duty 4 -
Monitor data management systems and tools, ensuring they are maintained, updated, and aligned with best practices in data security and privacy.

Job Duty 5 -
Provide training and support to staff on data management practices, tools, and analytical techniques to foster a data-driven culture within the institution.

Job Duty 6 -
Conduct regular audits of data processes and systems to identify areas for improvement and implement corrective actions as needed.

Job Duty 7 -
Prepare and present comprehensive reports on data trends, analysis findings, and management initiatives to senior leadership and relevant stakeholders.

Job Duty 8 -
Stay informed about emerging data management technologies and methodologies to continually enhance the institution's data management capabilities.

Educational Requirements
Bachelor's degree in related discipline or equivalent, related experience.

Required Experience
5+ years of relevant experience; 3+ years of supervisory knowledge.

Preferred Educational Qualifications
Master's degree in related discipline or equivalent, related experience.

• Master's degree in Computer Science, Information Technology, Information System, Data Science, Business Administration, related discipline or equivalent, related experience.
• Certified Data Management Professional certification.
• Experience designing, implementing and operating Security Information Management solutions such as SIMS or ThreatSwitch.
• Advanced knowledge of SQL, database design and data modeling expertise.
• Experience in managing and securing enterprise security database systems containing sensitive and regulated data.
• Experience in cross-departmental collaboration during security investigations, assessments, and compliance reviews.

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.

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). This position is in the Research Security Department (RS) of GTRI.

• The Director of BI and Data Services will be primarily managing Power BI and Epic Cogito. Preferred candidates would reside in Oregon with the ability to come onsite.

• We are open to considering candidates remote out of state in which we can employ in the following states: Alabama, Alaska, Arizona, Arkansas, Connecticut, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Michigan, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, West Virginia, or Wisconsin

JOB SUMMARY/PURPOSE

• Oversees the design, implementation, and maintenance work of business intelligence, analytics, and data architecture managers. Responsible for the strategic leadership and direction of data architecture and business intelligence strategies to meet the data needs of the organization. Ensures system standards and compatibility with SHS information systems architecture, tools, policies, and procedures. Ensures that data initiatives align with organizational objectives and data governance policies and procedures. Responsible for budgeting of IS Business Intelligence and Data Services department, ensuring resources are allocated efficiently and cost-effectively to support the organization's goals. Leads maturation of Samaritan Health Services as a data driven, data literate health system, working with clinicians, business stakeholders, researchers, informaticists, IS colleagues, and others. Creates a culture of teaching, mentoring and professional development across the system. Maintains consultative, trusted-advisor relationships with stakeholders.

DEPARTMENT DESCRIPTION

• Information Services is committed to providing leadership, support and coordination of technology at Samaritan Health Services. The IS Business Intelligence and Data Services department provides comprehensive data support as a centralized resource for the organization. Services include data integration and warehousing, analytic reporting, business intelligence solutions, statistical data analysis, and data science solutions.

EXPERIENCE/EDUCATION/QUALIFICATIONS

• Bachelor's degree required (preferably in an Information Systems related field). An advanced degree in information systems, mathematics, statistics, analytics, engineering or a related field preferred.
• Eight (8) years professional and/or leadership experience in data analytics/business intelligence/data science required.
• Five (5) years experience in the management of technical resources required.
• Two (2) years experience in business intelligence/data science delivery required.
• Project management and continuous process improvement experience required.
• Experience with Epic Cogito strongly preffered.
• Experience in multiple data-related technologies required.
• Project management certifications preferred.
• Experience providing advanced business intelligence and data science solutions in a healthcare setting preferred.

KNOWLEDGE/SKILLS/ABILITIES

• Leadership - Inspires, motivates, and guides others toward accomplishing goals. Achieves desired results through effective people management.
• Conflict resolution - Influences others to build consensus and gain cooperation. Proactively resolves conflicts in a positive and constructive manner.
• Critical thinking – Identifies complex problems. Involves key parties, gathers pertinent data and considers various options in decision making process. Develops, evaluates and implements effective solutions.
• Communication and team building – Leads effectively with excellent verbal and written communication. Delegates and initiates/manages cross-functional teams and multi-disciplinary projects.

Job Title: Data Engineer

Location: 100% Remote

Employment Type: W2 Contract, 6 Month Contract with possibility of extension

Pay Rate: $50.00 – $55.00/hour

Role Overview:

BEPC is seeking a Data Engineer to support our client by designing, building, and optimizing scalable data pipelines and architectures. This role is ideal for a technically strong professional who thrives in a collaborative environment and enjoys working with large datasets, cloud platforms, and modern data technologies to drive business insights.

Key Responsibilities:

• Design, develop, and maintain ETL pipelines for large-scale structured and unstructured data.
• Build and optimize data architectures, models, and database systems for performance and scalability.
• Develop data solutions using cloud platforms (AWS, Azure, or GCP).
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Ensure data quality, integrity, and security, especially with sensitive datasets.
• Integrate data from multiple sources including databases, APIs, and flat files.
• Support analytics and machine learning initiatives with clean, reliable datasets.
• Troubleshoot and resolve data pipeline and performance issues.
• Document systems, workflows, and processes for maintainability and knowledge sharing.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in data engineering or similar roles.
• Strong experience with ETL processes and data pipeline development.
• Proficiency in SQL and Python.
• Experience with Databricks, Apache Spark, or similar big data tools.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Strong understanding of database design and optimization.
• Experience working with large-scale and distributed data systems.
• Advanced English communication skills.

Preferred Qualifications:

• Experience with real-time data processing or streaming technologies.
• Familiarity with industrial data systems (e.g., PLCs, LabVIEW).
• Exposure to machine learning workflows or data science collaboration.
• Knowledge of data governance and compliance standards.

Overall Responsibility:

This role supports the design, development, and optimization of Arora’s enterprise data and ERP systems. This role reports directly under the Data Analytics Manager to improve financial reporting, support platform integrations, and build scalable data architecture that enables informed decision-making across the organization.

The position combines technical execution (SQL, automation, system configuration) with financial reporting support and cross-platform integration work to ensure accuracy, efficiency, and long-term system sustainability.

Essential Functions:

• Execute reporting and system requests in alignment with established data governance standards and reporting frameworks under the direction of the Data Analytics Manager.
• Contribute to the design of data models and system workflows that reduce manual processes and improve cross-functional data visibility.
• Support internal dashboards by creating backend data solutions and integrating with Vision.
• Provide system-level troubleshooting and ensure data consistency and reliability across platforms.
• Collaborate with teams to streamline processes through automation and data tools.
• Maintain documentation of data procedures, workflows, and system modifications.
• Support financial reporting and analysis by developing standardized, scalable reporting solutions aligned with company-wide data architecture.
• Assist in translating financial and operational requirements into structured reporting outputs and automation workflows.
• Assist in platform integrations (ERP, CRM, BI tools, and other enterprise systems) to support long-term architectural alignment and scalability.

Needed Skills:

• Ability to program in SQL at an expert level to assist data processes. Potential need for other programming language knowledge (Java, Python, etc.).
• Ability to create and maintain productive relationships with employees, clients, and vendors.

Education/Experience Minimum:

• 3-5 years of experience
• Strong programming skills having the ability to write complex queries.
• Preferred familiarity with all Microsoft platforms, including but not limited to Excel, Power BI, SharePoint, and SQL Server.
• Preferred experience with Deltek Vision v7.6 and VantagePoint
• Experience in building automated processes and data workflows.
• Strong problem-solving and attention to detail.