DataStaff, Inc is seeking an Internal IT and Infrastructure Operations Manager for a direct-hire opportunity with one of our direct clients located in Cary, NC The Manager, Infrastructure Operations & Internal IT is responsible for leading the organization's enterprise infrastructure, technology operations, and internal IT services. This role oversees AWS cloud environments, ensuring reliability, security, performance, scalability, and cost optimization. This role provides strategic and operational leadership across cloud platforms, networks, cybersecurity operations, internal IT, and service management.
Responsibilities include managing and maintaining cloud infrastructure, cloud-hosted applications, the corporate network infrastructure and on-premises servers. Additionally, you will support offshore team onboarding activities, coordinate and manage SOC audit engagements, ensure compliance with security and regulatory requirements, and facilitate collaboration between internal and external teams. This role requires maintaining a stable, secure, and high-performing IT environment while providing exceptional technical support to employees and stakeholders across the organization. Overall responsibility for the infrastructure support organization, ensuring consistent and reliable system operations.
Job Accountability/Responsibilities:
Essential Functions:
Manage and support cloud-based compute, storage, networking, database, and platform services.
Ensure cloud environments comply with corporate security policies and regulatory requirements.
Manage the technical services team, including day-to-day supervision of all technical services functions, cloud engineers, network group and Internal IT.
Ensure high availability and resiliency of mission-critical systems.
Lead cloud adoption and optimization initiatives across AWS
Oversee cloud monitoring, observability, alerting, and incident response processes.
Understands management and integration of cloud services (SaaS), hosted cloud services (IaaS, PaaS), and on-prem applications.
Understand Security tools and is able to react immediately as needed to patch systems and remove vulnerabilities.
Lead and oversee BOD IT projects, ensuring successful delivery, stakeholder alignment, and adherence to project objectives.
Work with application development leaders to help ensure IT projects are completed on time, at or under budget and are properly documented.
Work with business stakeholders to understand application support requirements and direct developers and analysts to document and automate required functions.
Set up and ensure adherence to service level agreements required for audit and compliance with all client groups.
Meet with business stakeholders on regular basis to ensure that applications are properly supported by staff.
Interface with outside vendors for the support and maintenance of standards, resolution of problems and other operational issues.
IT owner of internal applications which include Office 365 Cloud environment, incident management system (ServiceDesk), SharePoint, SQL Server, Customer Call Center, company intranet and phone systems.
Manage all purchases and services related to PC’s.
Manages the internal helpdesk team members.
Supervise performance and professional development for staff.
Coordinate recruiting, hiring, and performance evaluation requirements with Director of infrastructure technology.
Responsible for creating and implementing the organization’s policies and best practices.
Work involves recommending to management, formal or informal policy or procedure, which guide the efforts of a functional area.
Responsible for providing day-to-day supervision and development to team members. Project management for cross-functional teams.
Research new products and services that may enhance functionality or reduce costs.
Document existing processes: identify ways to incrementally improve internal processes.
Document and enhance business processes by automating key factors and improving employee efficiency throughout the company.
Manage and maintain Windows server infrastructure across AWS cloud and on-premises environments.
Key Measures: Responsiveness: Supporting, Maintaining & Enhancing the Product. Provide robust cloud environments for development, test, production and corporate users that Meet or Exceed Service Level Agreements for customers and corporate functions Product reliability. Product quality. Measurable objective metrics.
Ability to be on-call for after-hours work as well as respond to on-call paging systems.
Ability to present complex technical topics to management and external customers in a way that non-technical people can understand.
Ability to explain concepts with technical and non-technical staff.
Maintains regular contact with both internal and external stakeholders, requiring effective interpersonal and communication skills to support routine business interactions. Customer interactions require courtesy, exchange of information, and problem solving.
Works effectively with all co-workers; team player.
Communicates effectively and in a professional manner.
Works under deadlines and subject to heavy project load.
Education, experience, certification/training:
Bachelor’s degree in Computer Science or related field, or equivalent experience.
Minimum 8 years of IT experience with infrastructure or cloud technologies.
Minimum 3 years leading cloud engineering, platform operations, or infrastructure teams.
At least 3 years of development experience with Java and SharePoint technologies.
At least 3 years of hands-on SQL Server knowledge.
Experience with DevOps tools (Git, Jenkins, Terraform, etc.).
Experience with AWS, Azure, Microsoft 365, Windows/Linux, networking, databases, and security technologies.
Experience with financial planning systems as a SaaS solutions such as Workday and NetSuite.
Experience with system administration of Contact Center Express server and desktop environments.
CISSP, or equivalent work experience preferred.
Strong Windows, Active Directory, Exchange, SQL Server, and Azure/AWS
Must possess in depth understanding of security concepts and implementation.
Previous experience managing teams is required.
This opportunity is available as a W2 position with a competitive benefits package.
AI and Data Product Director
Location:Cary, North Carolina
Type:Direct Hire
Job#12356
Salary:$170,000 Hourly
DataStaff, Inc is seeking an AI and Data Product Director for a direct hire opportunity with one of our direct clients located in Cary, NC Job Description: The Director of Data, Analytics & AI product will act as the Chief Data Officer (CDO) of the organization. The CDO is responsible for defining and executing the enterprise data strategy, a Data as a Service (DaaS) and Software as a Service (SaaS) company serving the North American freight rail industry. The role owns the complete data landscape of the company—how data is collected, organized, governed, analyzed, operationalized, and commercialized.
The CDO will leverage the company’s extensive freight rail and network data assets to drive both operational excellence and commercial growth, expanding the company’s product portfolio and increasing revenue through data-driven solutions. CDO will use our vast database of freight rail data, applying machine learning, artificial intelligence and general information technology tools and techniques. The role requires balanced expertise in AI/ML, advanced analytics, and conventional information technology, with the judgment to apply appropriately based on business value, risk, and maturity.
This position works closely with customers and internal senior IT, product, and business leaders, as well as project managers and software engineers, to ensure data strategy is used efficiently and productively in design, product delivery, and customer outcomes.
The position will be Director level, reporting to the Chief Technology Officer and Vice President of Information Technology.
Own and execute the enterprise data strategy aligned with company growth, product roadmaps, and customer commitments
Maintain a comprehensive understanding of all enterprise data assets
Define how data should be structured, integrated, and governed to support mission-critical operations and DaaS and SaaS products serving other rail-interested parties
Establish clear frameworks for selecting AI/ML, optimization techniques, or traditional analytics based on effectiveness and reliability
Lead the strategic use of freight rail network data to drive improvements in: safety and risk reduction; network efficiency and performance; customer service reliability and satisfaction
Ensure network data is trustworthy, explainable, and scalable for enterprise customers
Translate complex operational data into actionable insights and product capabilities
Own enterprise data architecture, including ingestion, integration, storage, APIs, and data services
Establish standards for data models, schemas, interfaces, and domain ownership
Implement practical data governance, quality management, lineage, and stewardship
Partner with Security and Legal to ensure compliance with customer contracts, privacy requirements, and access controls
Lead analytics, data science, and AI/ML initiatives supporting forecasting, optimization, decision support, and automation
Ensure AI/ML solutions are production-ready, governed, explainable, and monitored
Apply engineering discipline to analytics and data science, including testing, versioning, and lifecycle management
Partner with Product Management, Sales, and IT leaders to expand the company’s data-driven product portfolio
Identify opportunities to monetize and/or create customer value from the company’s data through new analytics-based features, data products, and services
Partner with software engineers to ensure data requirements are engineered into platforms and products
Act as a translator between business needs and technical execution
Set priorities, standards, and performance expectations for a team of at least eight (8) personnel
Develop talent and mentor technical and analytical leaders
Ensure effective collaboration across data engineering, data science, analytics, and QA
Key Measures:
A clear, enterprise-wide data strategy aligned to real freight rail operating needs
Data platforms and practices that are scalable, trusted, and audit-ready
Measurable improvements in safety, efficiency, and customer satisfaction
Expansion of data-driven products and increased commercial revenue
Achieves and maintains a comprehensive, end-to-end understanding of the company’s data assets, including network, operational, customer, and product data
Establishes clear ownership, standards, and accountability for data across the enterprise
Builds, leads, and develops a multidisciplinary team of engineers, data scientists, analysts, and QA professionals
Simplifies and rationalizes a complex data landscape so that leaders, engineers, and customers trust and rely on the data
Successfully leverages network data to drive measurable improvements in: safety and risk reduction, network efficiency and performance, service reliability and customer satisfaction; revenue growth and product portfolio growth
Ensures analytical insights are actionable, not academic, and embedded into operational workflows and DaaS and SaaS products
Applies AI/ML, optimization, and advanced analytics only where they produce clear value, while appropriately using deterministic or conventional analytic approaches when they are more effective
Ensures AI solutions are explainable, governed, production-ready, and appropriate for enterprise customers
Ensures data systems meet enterprise expectations for resiliency, performance, and auditability
Ensures data initiatives are aligned with enterprise priorities and delivery timelines
Establishes clear expectations, delivery standards, and accountability
Balances hands-on technical credibility with executive-level leadership
Implements practical governance that enables speed while protecting customer and company interests
Ensures data quality, lineage, security, and compliance are enterprise-ready
Anticipates and manages data risk in safety-critical and customer-facing use cases
Education, experience, certification/training:
Bachelor’s Degree in Computer Science, Information Technology or similar relevant technical concentration required
Minimum of 10 years’ experience in the information technology arena with at least 5 years of recent experience as a mid to senior manager focused on data architecture and data management
Familiarity with agile methodologies (or similar Development Methodologies) required
Possess a natural curiosity to experiment with new technologies and systems
Strong leadership and people management skills required
Possess a strong commitment and dedication to accomplish established objectives
Requires excellent communication and interpersonal skills
This opportunity is available as a W2 position with a competitive benefits package.