https://JOBS.RESOLUTION-TECH.COM/ en-us Mainframe Solution Architect

Mainframe Solution Architect About this Position
Mainframe Solution Architect as a member of the Enterprise Architecture Team with principle focus on IBM Mainframe Applications and Solutions
Mainframe Solution Architect Responsibilities & Qualifications
The Mainframe Solution Architect is responsible for translating business requirements into technical solutions for complex applications that are implemented on IBM Mainframe, but also including integrations with other platforms. They work directly with Application Architects and MF development teams to implement those solutions and assist in delivering them into production. They are responsible for communicating Architecture and Enterprise standards and best-practices and ensuring they are reflected in the MF applications and integrations. The Architect is proficient in the COBOL programing language, DB2 SQL and zOS. They have an understanding of basic Enterprise Design Patterns and how to apply them. They provide technical leadership across teams and play a key role in transitioning MF workloads to other platforms such as Kubernetes, and as part of a larger Digital Transformation and Modernization effort.
Mainframe Solution Architect Knowledge, Skills, and Abilities

• Requires excellent experience with IBM MainFrame and zOS.
• Knowledge of zOSMF is a plus.
• Experience with Image Copy / reorg/ load /unload utilities is desirable.
• Must have direct Experience with RACF, and how it protects DB2 resources, CICS transactions.
• Experience with SERVAUTH is a must.
• Experience with scalability and concurrent processing. 
• Experience working with large development teams and other Architects.
• Extensive Experience programming in COBOL, CICS and also using DB2, especially with SQL, indexes and explain plans
• Must be an expert in navigating IBM MainFrame, developing MF applications using COBOL, Assembler, and JCL.
• Working understanding of zOS connect is highly valuable.
• Having skills with Python or Java is a plus.
• Working knowledge of modern NoSQL databases, such as MongoDB, and cloud solutions such as DataBricks desirable. 

Our Benefits:

• Day one health, dental, and vision insurance
• 401(k) Plan with competitive employer match
• Vacation, sick, holiday and volunteer time off
• Life and disability insurance
• Flexible Spending Account & Health Savings Account
• Professional development
• Tuition reimbursement
• Company-sponsored social and philanthropy events

#RT
#DICEJOBS
 ]]> Fri, 17 Jul 2026 00:00:00 EDT 0 Senior Trade Compliance Specialist Career Opportunity
The Senior Trade Compliance Specialist is a member of the Foreign Trade Department working closely with the Manager to complete compliance objectives across all U.S. and international locations to support the company's business operations. Independently manages all day-to-day work while contributing to higher level projects as assigned by the Manager.

Senior Trade Compliance Specialist Essential Duties and Responsibilities

• Ensure the departments daily responsibilities are completed and addressed in a timely manner.
• Disseminate guidance and direction on trade compliance requirements.
• Determine jurisdiction and export classification of products, technical data, and services.
• Engage in inquiries to identify and reconcile trade compliance issues.
• Maintain expert level knowledge of U.S. trade laws and regulations.
• Generate U.S. Department of Commerce and U.S. Department of State applications.
• Assist in the development and implementation of foreign trade related processes, programs, and resources.
• Direct audits of trade compliance processes and requirements.
• Serve as interface and external spokesperson on trade compliance related matters.
• Assist in the development and presentation of trade compliance training.
• Assist in training new trade compliance personnel.
• Other items as assigned by the Director and Manager of Foreign Trade.

Senior Trade Compliance Specialist Required Knowledge, Skills, and Abilities

• Due to U.S. export control laws, must be a U.S. citizen, permanent resident or have protected status.
• Possesses knowledge of U.S. trade laws and regulations. Specifically, an expert level of knowledge and understanding of the International Traffic in Arms Regulations (ITAR) and the Export Administration Regulations (EAR).
• Must have a technical background - i.e., understanding manufacturing processes, technical drawings, materials, electronics and units of measure.
• Must be proficient with Microsoft Word, Excel and Access.     
• Capable of working independently, as well as collaboratively with corporate and business personnel.

Senior Trade Compliance Specialist Required Education and Experience

• Bachelor's degree in business, Engineering or related field preferred; and at least 5 years of experience and/or training; or equivalent combination of education and experience.
• Previous experience in aerospace related industries is strongly preferred.

Senior Trade Compliance Specialist Preferred Skills

• Language Skills: Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
• Mathematical Skills: Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.
• Reasoning Ability: Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.

#RT]]> Tue, 07 Jul 2026 00:00:00 EDT 0 Senior Data Scientist
About the Role
Our client is looking for a Senior Data Scientist for a long-term engagement with a pharmaceutical client. This is a hands-on, end-to-end role embedded directly within the client’s data and AI team. The data scientist builds machine learning models and predictive analytics solutions and owns the data engineering behind them—including transformation, cleanup, and automated ingestion of new data—as well as the full MLOps lifecycle.
The client is establishing its production ML capability and does not yet have a model running in production, so this person should be comfortable taking raw, messy data all the way to a monitored production model and helping shape the operating model and MLOps framework as they go. This individual operates independently as a trusted member of the team while bringing the collective experience, methodologies, and reusable frameworks of our broader data and AI practice to bear.
Sr. Data Scientist Primary Responsibilit

• Build, train, and validate ML models supporting predictive analytics use cases (e.g., batch/resource optimization and exception pattern recognition in a manufacturing setting).

• Develop and maintain data transformation and cleanup pipelines in Snowflake, turning raw source data into modeling-ready datasets.
• Automate ingestion and processing of new and recurring data feeds, accounting for data that may arrive from external systems or partners with latency.
• Own the full ML lifecycle in AWS SageMaker (or Snowflake-native ML where appropriate): training, deployment, monitoring, retraining, and drift detection.
• Implement MLOps practices: CI/CD for ML, model versioning, automated pipelines, and performance monitoring.
• Evaluate the client’s existing environment—including Snowflake’s native MLOps capabilities—and recommend the most cost-effective, fit-for-purpose path before building from scratch.
• Contribute to a blueprint for the client’s ML operating model: where models are trained, how they are promoted and deployed, and how users access outputs (e.g., dashboards or batch inputs).
• Collaborate with stakeholders to translate business requirements into production solutions, and deliver work phase by phase, starting with the lowest-effort, highest-value use cases.

Sr. Data Scientist Required Data Science & Engineering Qualifications and Experience

• Proven experience building and deploying ML models in production.
• Strong Python and ML libraries (scikit-learn, XGBoost, TensorFlow, or PyTorch).
• Strong data engineering skills: SQL, data transformation, and pipeline development (e.g., dbt, Snowflake-native, or equivalent).
• Hands-on Snowflake experience for warehousing, transformation, and ingestion.
• Hands-on AWS SageMaker experience across the model lifecycle.
• MLOps tooling: CI/CD for ML, monitoring, automated retraining, and version control.
• Ability to work independently and reliably in a staff augmentation capacity as part of the client’s team.

Sr. Data Scientist Preferred Pharmaceutical / Regulated-Industry Experience Qualifications

• Prior experience in pharma, life sciences, or another regulated industry.
• Familiarity with GxP, HIPAA, or 21 CFR Part 11.
• Understanding of data privacy and validation requirements in regulated settings.

Sr. Data Scientist Additional Skills

• Orchestration (Airflow, Step Functions), infrastructure-as-code (Terraform/CloudFormation), and containerization (Docker).

What Sets a Strong Sr. Data Scientist Candidate Apart
Above all, we value honesty about capability. The client is looking for a resource whose demonstrated experience matches their resume—someone they can trust to assess the landscape, make sound technical judgments, and pick up new areas (such as agentic or generative AI) as the engagement matures. A candidate who can build production ML solutions while helping mature the surrounding framework will be an ideal fit.
#DICEJOBS
#RT
 ]]> Wed, 24 Jun 2026 00:00:00 EDT 0 Senior Analytics Consultant

About the Role
Our company is seeking an experienced Senior Analytics Consultant to lead our Insights Framework engagements within our dynamic data and AI consulting practice. These are structured, workshop-driven engagements that trace an organization’s strategic drivers through the business decisions, insights, KPIs, metrics, and dimensions that should inform them. In this client-facing role you’ll facilitate sessions with business and technical stakeholders, draw out and align competing priorities, and synthesize them into a clear set of analytical requirements and deliverables that connect strategy to actionable data needs — setting the stage for downstream data Lakehouse and advanced analytics work. The ideal candidate has guided large, complex organizations and executive leadership teams through analytics initiatives and is equally at home leading an executive readout and a working session with data engineers.
As a Senior Analytics Consultant at our company, you’ll help clients define what matters most — the decisions they need to make and the insights, KPIs, and metrics that drive them — and turn that into intuitive, widely adopted reporting. This position requires deep expertise in the Insights Framework methodology, KPI and metric definition, data visualization and storytelling, and data governance, along with enough technical fluency to translate business priorities into data requirements and guide clients through their broader data modernization journey.
What to expect when you join our company family
Team members at our company have a lot in common while also being part of a rich and diverse group of contributors, creating a distinct and thriving culture. Chief among our commonalities is a desire for growth and a shared unity of purpose in our professional lives. We believe that through diverse perspectives, challenging the status quo and rewarding action, we accelerate innovation and drive growth -- for our clients, for ourselves and for our communities.
The professional services landscape continues to evolve. For our company, this means we have an opportunity to cement our leadership position in this industry and continue to grow our organization in increasingly exciting ways. This growth is meaningful for every team member at our company because larger companies simply see more interesting client opportunities and can attract impressively talented individuals like you.
Senior Analytics Consultant Primary Responsibilities
Client Engagement & Requirements Gathering

• Facilitate structured workshops and collaborative sessions with business leaders, business SMEs, and technical SMEs across multiple functional areas to gather, refine, and align on organizational data and reporting needs
• Draw out relevant information from diverse stakeholder groups, manage competing perspectives, and build progressive alignment across multiple sessions and workstreams
• Partner with C-suite executives and senior leadership to connect analytics initiatives to strategic drivers and business outcomes
• Clearly articulate the purpose, value, and outcomes of analytical work to a range of audiences, from executive sponsors to operational teams

Insights Framework Delivery

• Synthesize inputs from existing artifacts, workshop notes, and industry standards into a structured, well-organized framework that connects strategic priorities to actionable data needs
• Define KPIs, metrics, and dimensions, and trace them back to underlying data sources and critical data elements
• Design intuitive, interactive dashboards and reporting portfolios that business stakeholders actively adopt and use
• Develop business glossaries and lightweight governance that keep terms, metrics, and definitions consistent and trusted across the organization
• Apply the patience and discipline to fully understand business requirements before recommending technology platforms, dashboard designs, or data solutions — including the downstream data Lakehouse and advanced analytics work these engagements set up

Business Value Creation

• Build compelling business cases for analytics and AI initiatives
• Conduct ROI and cost-benefit assessments for proposed reporting, analytics, and platform investments
• Develop phased roadmaps that balance quick analytical wins with the foundations for a modern data platform
• Monitor engagement outcomes and demonstrate measurable business value to stakeholders

Project Leadership & Implementation

• Lead cross-functional teams and engagement workstreams through the full Insights Framework lifecycle
• Ability to mentor and guide junior team members and peers
• Oversee end-to-end delivery from discovery and requirements through readout and handoff
• Manage engagement timelines, scope, and resource allocation
• Ensure deliverables meet our company quality standards and client expectations

Senior Analytics Consultant Required Qualifications
Experience

• 8+ years in analytics, business intelligence, or data strategy consulting, or a similar client-facing role
• Proven track record working with large, complex organizations and their leadership teams
• Experience facilitating workshops and presenting to and influencing executive leadership teams
• Demonstrated success in requirements gathering, KPI and metric definition, and solution design
• History of delivering complex analytics and reporting engagements on time and within scope

Senior Analytics Consultant Technical Skills

• Hands-on experience with data visualization tools (e.g., Power BI, Tableau, Looker), with a track record of dashboards that are widely adopted and actively used
• Ability to define KPIs, metrics, and dimensions and trace them to underlying data sources and critical data elements
• Solid understanding of data governance, business glossaries, and metadata management
• Sufficient technical fluency to bridge conversations between business and technical stakeholders, translating business needs into data requirements and vice versa
• Working knowledge of cloud data platforms and modern data architectures (e.g., Microsoft Fabric, Databricks, Snowflake, AWS, Azure, GCP)
• Hands-on experience with data warehousing and/or BI platforms, with a solid understanding of how data is structured, stored, and surfaced to end users
• Experience in data modeling techniques including dimensional modeling and entity-relationship design
• Familiarity with relational database concepts and SQL
• Understanding of data integration patterns and ETL/ELT processes
• Familiarity with data catalog and data lineage tools (e.g., Microsoft Purview, Collibra, Alation)
• Proficient in Excel (pivot tables, structured information organization) and PowerPoint, with the ability to craft clear, compelling presentations that communicate complex analytical concepts to diverse audiences

Business & Analytical Skills

• Expert-level skills in business case development and ROI analysis
• Strong financial modeling and cost-benefit analysis capabilities
• Excellent problem-solving and critical thinking abilities
• Experience with change management and organizational transformation

Communication & Soft Skills

• Exceptional verbal, written, and data storytelling communication skills
• Ability to document and present complex information to diverse audiences
• Strong facilitation and workshop leadership capabilities
• Proven ability to build trust and credibility with senior stakeholders
• Collaborative mindset with excellent interpersonal skills

Senior Analytics Consultant Preferred Qualifications

• Advanced degree in Analytics, Data Science, Business, or related field
• Industry certifications in relevant technologies (e.g., Power BI, Tableau, Microsoft Fabric, Databricks, Snowflake, cloud platforms)
• Background in data privacy regulations (GDPR, CCPA, etc.)
• Experience with agile project management methodologies
• Previous consulting experience with top-tier firms
• Experience with data lake and data warehouse implementations
• Background in financial services, healthcare, or manufacturing industries
• Understanding of compliance requirements (GDPR, HIPAA, SOX, etc.)
• Experience with data storytelling and data visualization best practices

Key Competencies

• Strong problem-solving abilities and analytical thinking
• Excellent communication skills to bridge technical and business stakeholders
• Ability to work independently and as part of a team
• Strong documentation skills
• Proactive approach to identifying and resolving issues
• Adaptability to changing requirements and technologies
• Focus on continuous improvement and innovation

Education

• Bachelor’s degree in information science, analytics, business, computer science, or a related field
• Master’s degree in data science, Business Intelligence, or AI preferred

Additional Requirements

• Ability to travel up to 50% (client sites, conferences, training, etc.)
• Willingness to work flexible hours to accommodate client needs across US time zones

#DICEJOBS
#RT

 ]]> Fri, 19 Jun 2026 00:00:00 EDT 0 Enterprise Data Security Architect


The Cybersecurity Security Architect serves a significant role in strategic planning, product design, and solution testing. The position is instrumental in leading the evaluation of technology acquisitions and managing integrations for the company's technology acquisitions. The architect must have extensive knowledge of multiple disciplines/environments as they will be considered a subject matter expert across the enterprise. The role will serve as a leader and guide on projects, providing frameworks, architecture documents, emerging technologies, enterprise data programs, sample application code, and adherence to enterprise standards.


Enterprise Data Security Architect Responsibilities & Qualifications

Enterprise Data Security Architect Minimum requirements

• Defining overarching security reference architectures, patterns, standards, and blueprints that align with business objectives while incorporating secure-by-design strategies.
• Design controls to mitigate AI-specific risks: prompt injection, data poisoning, model inversion/extraction, adversarial attacks, hallucination exploitation, supply-chain attacks on models/datasets, and agentic/multi-agent system vulnerabilities.
• Define secure patterns for generative AI deployments including RAG architecture, vector databases, LLM gateways, output filtering, guardrails, red-teaming processes, and responsible AI governance.
• Lead threat modeling using frameworks such as MITRE ATLAS, OWASP, NIST AI RMF, etc.
• Architect and support enterprise data security controls: classification, encryption (at-rest, in-transit, in-use), data loss preventions (DLP), data security posture management (DSPM), access governance, and tokenization.
• Secure big data / analytics environments (data lakes, warehouses, feature stores, model registries) and ensure lineage, provenance, and integrity in data use.
• Collaborate with data engineering teams to embed privacy-preserving techniques (differential privacy, federated learning, secure multi-party computation) where appropriate.
• Command the ability to properly assess security architecture against regulatory requirements and frameworks.

Enterprise Data Security Architect Preferred requirements

• This position would require 10 years of security architecture or senior security engineering experience as previously described.
• 3+ years of direct experience securing AI/MK/GenAI systems, data science platforms, or large-scale data environments
• CISSP, CCSP, and CISM highly preferred
• NIST Cybersecurity Framework practical experience is required
• SABSA or TOGAF framework experience is also preferred.
• Deep knowledge of modern cloud security (Azure, AWS, GCP), container/kubernetes security, and zero-trust principles.
• Strong understanding of AI/ML concepts: model lifecycle, training/inference pipelines, embeddings, RAG, agents, fine-tuning, and common attack vectors.
• Proven track record performing threat modeling and risk assessments for both traditional systems and AI workloads.
• This person would specifically also understand how to deploy and manage security tech such as DLP (Data Loss Prevention), SIEM systems (e.g., Splunk, ELK), tokenization/masking, and compliance frameworks (GDPR, HIPAA, SOC 2).
• This person would specifically also understand how to lead Incident Response activities such as monitoring for anomalies, investigating breaches, and lead recovery efforts while minimizing data exposure.
• If requested, provide some indirect or matrix supervisory responsibility as a project manager, although this does not mean formal supervision of team members (e.g., the position doesn’t complete performance evaluations, hire or terminate)

   
Hybrid Role
Location: Duluth, GA                                                                 

Enterprise Data Security Architect Our Benefits:

• Day one health, dental, and vision insurance
• 401(k) Plan with competitive employer match
• Vacation, sick, holiday and volunteer time off
• Life and disability insurance
• Flexible Spending Account & Health Savings Account
• Professional development
• Tuition reimbursement
• Company-sponsored social and philanthropy events

#RT
#DICEJOBS]]> Fri, 19 Jun 2026 00:00:00 EDT 0 Director, IT Delivery Project Management

***Position will be onsite daily in the Atlanta office***

Director, IT Delivery Project Management Job Responsibilities:

• Key leadership role is charged with improving the consistency, predictability, and efficiency of Global project delivery capability and capacity.
• Responsible for the success of Global technical projects from concept to implementation. Will lead project management initiatives dealing with Windows, UNIX, Networks, Databases, Storage & Backups, Security, Application and Cloud technologies.
• Leads the identification, implementation, and improvement of project management processes, methods, tools, practices, standards, and a maturity roadmap to establish a scalable framework that supports all project teams and stakeholders to achieve higher maturity in portfolio program management.
• Responsible for the establishment and management of a project methodology incorporating structures, standards, processes, documentation and reporting of all relevant milestones.
• Develops and drives project management best practices and standards that will improve productivity, efficiency, and investment decision-making to realize targeted business outcomes.
• Build, develop and oversee a team of project delivery professionals and develop and implement comprehensive PMO strategies, policies, and processes to support the functional infrastructure; this role will build and lead the PMO team.
• Work with cross function organization teams to ensure the coordination of resources for technology projects and that all services have needed information regarding the implementation of technology.
• Collaborate with lines of business (LOBs), regional CIOs and delivery managers to define scope, plan, prioritize, and develop projects.
• Work with the project teams to identify and resolve issues around project related items that potentially jeopardize any of the project dates identified.
• Provide thought leadership and facilitate cross functional problem solving across the company and impacted operational domains to optimize execution.
• Lead effective management of the project management triple constraint (scope, schedule, budget) and proactive identification and management of project risks and issues.
• Assist in forming program governance and in creating program governance tools and processes, drive the execution of the program accordingly and contribute to improvements.
• Accountable to ensure Delivery Managers adhere to the defined process and decision framework (i.e. governance) of regular cadence of executive reviews, stakeholder reporting, program metrics, risk mitigation and overall performance management throughout portfolio.
• Engage senior IT leadership and lines of business management teams as a trusted advisor to define the PMO mission, goals, operating model, process flow, roles and responsibilities, governance and decision criteria that align with corporate strategic priorities.
• Define, manage and direct the needed end-to-end PMO work effort, which includes leveraging best practices and techniques in identifying, quantifying and tracking the realization of expected benefits defined in business cases.
• Plans change management tasks required for the organization to accept, adapt, and support initiatives, including effective communication, adequate training, and documentation.
• Leads resource capacity planning and allocation for projects so expectations are clear, requirements are defined, risks are identified, and appropriate levels of support are provided.
• Leads the development and maintenance of project dashboards and PMO reports to communicate project status, issues, and outcomes, ensuring completeness of the needed data.

Director, IT Delivery Project Management Qualifications:

• Bachelors Degree or higher in Engineering, Technology or related field or commensurate work experience, Masters degree strongly preferred
• PMP (Project Management Professional) Certification or equivalent preferred.
• Consulting background strongly preferred.
• Office based position required to collaborate with senior executive and leadership team
• ITIL certification preferred.
• 15+ years of project management or IT Management experience
• 10+ years experience leading a team of IT Delivery Managers (Project & Program Managers) in a PMO or consulting practice.
• Experience moving IT operations & applications to the Cloud.  AWS and Azure is preferred.
• Substantial project management experience dealing with Windows, UNIX, Networks, Databases, Storage & Backups, Security and Cloud infrastructure.
• High energy level, comfortable performing multifaceted projects in conjunction with day-to-day activities, sound judgement and the ability to work under time pressures
• Excellent technology skills, including the use project management, database management, Office 365 including Word and PowerPoint, ServiceNow software.
• Highly collaborative and solution-oriented with a flexible mindset that can pivot to competing LOB priorities.
• Strong analytical skills, ability to think strategically and influence business decisions using appropriate, fact-based financial information
• Strong written and oral communications skills at all levels, from technical analyst to senior business leadership
• Ability to develop strong partnerships and a collaborative, teaming environment within and across functional organizations
• Ability to apply sound judgment to day-to-day and annual planning processes
• Independent with ability to work productively with minimal direct supervision
• Relies on a process and teamwork-oriented approach to accomplish objectives
• Exhibits confident, self-directed leadership in a complex & dynamic environment

Director, IT Delivery Project Management Success Factors:

• Ensuring all teams are aligned toward successful delivery. On-time, within scope and high quality.
• Leading with influence both strategic and time critical operational activity.
• Ability to communicate effectively with executive stakeholders as well as attention to details of the day-to-day tactical activities of an individual project team.

CANDIDATE PROFILE:
The ideal candidate will need to bring a mix of hard and soft skills in order to ensure his or her success. 
Given the scope of contribution of this role, it will be imperative that qualified candidates bring experience in the large consulting firms.  A background including B2B services, transaction and payment processing, and credit card services would be strongly preferred.
Qualified candidates will have a background and comfort level working with diverse systems.  He or She will bring an appetite for keeping current with new technology solutions, and be incredibly passionate about solving business problems through the use of technology.
This person will need to bring a track record of hands-on doing, being personally responsible for the strategy, execution and success of systems that have been global in nature and have impacted the bottom-line efficiency and success of an organization.  Ideally, qualified candidates will have an experience base that involves multi-national Infrastructure & software development.
This doing will very likely include and require travel, both domestically and internationally, which could fluctuate depending on areas of business focus, acquisition due diligence, etc.
He or She will know how to quickly craft a written proposal and solution strategy, in addition to being comfortable with the responsibility of the hands-on execution work involved.  In addition, qualified candidates will bring executive level communication, decision, and presentation skills with all levels of global business management.
This should be an individual with a sense of both independence and urgency.  He or She should have a solid background of autonomy and seeing initiatives through from beginning to end, with business impact and ROI defined.  Our culture is fast-paced and dynamic.  Someone who is looking for a lean, swift moving environment will be a good match.  Additionally, someone looking for an army of support and a great deal of hand holding will not likely be the best fit.
This position will require an individual who is very comfortable operating in a global environment with a company that is experiencing growth both organically and through acquisitions.  This will require a high degree of interpersonal and influencing skills and an ability to work cross-culturally to improve collaboration within IT at the global level. 

#RT
#DICEJOBS
 ]]> Mon, 15 Jun 2026 00:00:00 EDT 0 Endpoint Management Engineer (MS Intune & Entra ID)
The primary responsibilities of this position are to provide maintenance, configuration, and reliable operation of the endpoint and Mobile Architecture systems. These systems include but are not limited to: MS Intune, Azure AD/Entra ID, and MS Endpoint Configuration Manager. This position is also responsible for researching new technology and developing a roadmap of the future direction of all End User Support systems to continuously improve and keep up with business and IT needs. This position will actively resolve complex problems and issues with computer systems to limit work disruptions and production outages.

Endpoint Management Engineer (MS Intune & Entra ID) Role and Responsibilities

• Build and deliver application packages in Intune Endpoint Manager.
• Manage and coordinate urgent and complicated support issues, acting as the highest escalation point for requests and incidents.
• Administer and manage mobile devices, laptops, Azure, and the Azure Admin portal.
• Develop methodologies and escalation processes to ensure proper information flow within the organization.
• Train, coach, and mentor support staff, including building, editing, and documenting training materials and how-to video documentation.
• Interact professionally with internal and external customers.
• Provide data and reporting of KPIs and trends on a weekly, monthly, and as-needed basis.
• Maintain an effective framework for managing and improving customer IT support.
• Advise management on escalated incidents, identified trending patterns, and recommend solutions for systemic enhancements.

Endpoint Management Engineer (MS Intune & Entra ID) Skills and Qualifications

• Bachelor's Degree in a related field and three years of progressively responsible, professional-level analyst and systems experience in a large-scale Information Technology environment; or an equivalent combination of education and experience.
• Proven experience with Microsoft Intune, Microsoft Entra ID (Azure AD), Azure Administration, and Active Directory
• Operating Systems: Strong knowledge of Windows 10/11, macOS, Android, iOS, and modern Windows Server environments.
• M365 Ecosystem: Experience supporting, installing, and troubleshooting mainstream M365 products (including Microsoft Teams, Teams Premium, New Outlook, and M365 Copilot / Copilot Chat / Teams Administration).
• Infrastructure & Operations: Strong hands-on experience with hardware/software infrastructure tools, basic network troubleshooting (ethernet/Wi-Fi), routing topology, and modern server/network equipment.
• Automation: Proficiency in PowerShell Scripting for system administration and deployment.
• ITSM Tools: Hands-on experience with ServiceNow ticketing tools (San Diego or later version).
• Hardware Lifecycle: Advanced troubleshooting, diagnostics, and root-cause analysis for laptops, desktops, mobile devices, and high-level peripheral escalation (video conference equipment, network copiers/printers).
• Soft Skills: Command of comprehensive inventory management principles; strong verbal and written communication skills; excellent customer service, prioritizing, and work assignment skills.

#RT
#DICEJOBS]]> Thu, 28 May 2026 00:00:00 EDT 0 IT Leader – Platform Architecture, Scalability & AI Automation

Role Overview
We are seeking a senior Technology Leader to own the architecture, scalability, and intelligent automation of our core FinTech platforms. This role is responsible for designing large-scale, cloud-native, distributed systems while leveraging AI-driven automation to improve platform efficiency, reliability, and operational scale.
The ideal candidate combines deep expertise in platform architecture and distributed systems with a strong point of view on using AI to automate infrastructure operations, optimize performance, and enable predictive, self-healing platforms. This is a highly technical leadership role with material influence over how the platform scales as the business grows.
Key Responsibilities
Platform Architecture & Technical Strategy

• Own the end-to-end platform architecture supporting core FinTech products and transaction flows
• Define architectural standards for scalability, performance, resiliency, and system composability
• Lead evolution from tightly coupled or monolithic systems toward distributed, service-oriented platforms
• Establish clear system boundaries, ownership models, and architectural governance
• Define and execute a multi-year platform roadmap aligned with growth, transaction scale, and product velocity

Scalability & Distributed Systems

• Design platforms capable of handling high transaction volumes, burst traffic, and sustained throughput
• Guide horizontal scaling strategies across compute, storage, data, and messaging layers
• Lead architectural decisions around sharding, partitioning, caching, asynchronous processing, and concurrency
• Continuously improve latency, throughput, and resource efficiency across the platform
• Enable multi-region and multi-environment scalability where required

Cloud & Infrastructure Architecture

• Architect cloud platforms (AWS, Azure, or GCP) optimized for scale, availability, and operational efficiency
• Define reference architectures for containerized workloads, microservices, and distributed runtimes
• Lead Kubernetes and container platform adoption and standardization
• Mature Infrastructure as Code (Terraform, CloudFormation, etc.) for consistent, scalable environments
• Own capacity modeling, growth forecasting, and infrastructure lifecycle planning

AI-Driven Automation & Intelligent Platforms

• Apply AI and machine learning techniques to automate platform operations and decision-making
• Use AI for:
  • Capacity forecasting and demand prediction
  • Anomaly detection in platform performance and system behavior
  • Automated root-cause analysis and incident correlation
  • Predictive scaling and infrastructure optimization
• Drive adoption of self-healing platform patterns where systems can respond automatically to failure or degradation
• Enable data pipelines, feature stores, and runtime environments required to support AI-enabled platform services
• Partner with data and engineering teams to productionize AI capabilities within core platform workflows

Platform Engineering & Developer Enablement

• Build shared platform capabilities that abstract complexity and enable product teams to scale independently
• Provide self-service infrastructure, golden paths, and opinionated platform tooling
• Standardize CI/CD, runtime environments, observability, and deployment patterns
• Reduce friction and cognitive load for application teams through strong platform design
• Measure and improve developer experience as a platform outcome

Reliability, Performance & Intelligent Operations

• Lead SRE practices focused on scalability, automation, and operational maturity
• Define and track SLIs/SLOs centered on throughput, latency, availability, and platform health
• Establish advanced observability (metrics, tracing, logging) as inputs to AI-driven insights
• Lead analysis of scaling failures, performance bottlenecks, and systemic inefficiencies
• Drive continuous improvement toward predictable, automated, and resilient operations

Required Qualifications

• 10+ years of experience designing and operating large-scale distributed systems
• 5+ years in senior technical leadership roles (Director, Principal, VP, or equivalent)
• Deep expertise in platform architecture, cloud-native design, and system scalability
• Strong hands-on experience with AWS, Azure, or GCP
• Proven experience with microservices, event-driven architectures, and distributed data systems
• Solid background in Infrastructure as Code and automation-first platform design
• Experience applying AI/ML concepts to operational or platform use cases

Preferred Qualifications

• Experience with high-volume transaction processing or real-time systems
• Strong Kubernetes and container platform experience
• Experience with event streaming platforms (Kafka or equivalent)
• Background modernizing legacy platforms at scale
• Experience with AI-assisted operations, AIOps, or intelligent monitoring platforms

Key Competencies

• Systems-level architectural thinking with a strong scalability mindset
• Ability to blend platform engineering and AI automation into practical solutions
• Technical credibility with senior engineers, architects, and leadership
• Pragmatic decision-maker who balances ideal architecture with real-world constraints
• Strong communicator who can translate technical strategy into business impact

30-60-90 Day Success Plan
First 30 Days – Understand & Assess

• Develop deep understanding of current platform architecture and scaling limits
• Review system topology, transaction paths, and performance characteristics
• Identify opportunities for automation, AI-driven optimization, and architectural simplification
• Build strong relationships across engineering, data, and product leadership

Days 31–60 – Architect & Automate

• Define target-state platform architecture with explicit scalability patterns
• Prioritize architectural improvements with the highest scale and automation leverage
• Introduce AI-enabled insights into observability, capacity, or incident analysis
• Establish platform standards, reference architectures, and design principles

Days 61–90 – Scale & Industrialize

• Deliver measurable improvements in throughput, latency, and platform stability
• Advance automation toward self-service, self-scaling, and self-healing capabilities
• Roll out platform-level AI automation for operations and performance optimization
• Finalize a multi-year platform and AI-automation roadmap
• Establish a culture of building intelligent systems designed to scale by default

#RT
#DICEJOBS ]]> Mon, 04 May 2026 00:00:00 EDT 0 Director, End User Services (AI Automation & Service Optimization)

Overview
We are seeking a forward-thinking Director of End User Services to lead the transformation of our end user support ecosystem. This role will drive the adoption of AI-powered automation, elevate break/fix performance, streamline access and service request processes, and modernize asset management and inventory control.
You will combine operational excellence with innovation—leveraging data, automation, and user-centric design to deliver a seamless, scalable end user experience.
Director, End User Services Key Responsibilities
AI & Automation Strategy

• Define and execute a roadmap for AI-driven automation across End User Services (e.g., virtual agents, self-healing, workflow automation).
• Identify high-volume, repeatable processes and implement automation to reduce manual effort and resolution time.
• Partner with IT, Security, and Business teams to integrate AI solutions into service delivery platforms (e.g., ServiceNow, endpoint tools).
• Establish metrics to measure automation effectiveness (deflection rates, MTTR reduction, user satisfaction).

Break/Fix Excellence

• Lead global end user support operations to improve incident response and resolution times.
• Implement proactive and predictive support models (e.g., monitoring, self-remediation).
• Drive root cause analysis (RCA) discipline to eliminate recurring issues.
• Establish SLAs/XLAs focused on both performance and user experience.

Access & Service Request Optimization

• Oversee and improve identity, access, and request fulfillment processes.
• Streamline workflows to reduce cycle time and improve transparency.
• Champion self-service capabilities and knowledge management to reduce ticket volume.
• Ensure compliance with security and audit requirements.

Asset Management & Inventory Control

• Develop and maintain a robust IT asset lifecycle management program (procurement through disposal).
• Implement accurate, real-time inventory tracking and reconciliation processes.
• Optimize hardware/software utilization and cost management.
• Ensure compliance with financial, security, and regulatory standards.
• User Experience & Continuous Improvement
• Establish a user-centric service model with measurable satisfaction (CSAT, NPS, XLAs).
• Analyze service data to identify trends and improvement opportunities.
• Lead continuous improvement initiatives using Lean, Six Sigma, or similar methodologies.

Leadership & Collaboration

• Build and lead high-performing global teams across service desk, desktop support, and endpoint services.
• Collaborate with Infrastructure, Security, HR, and Business Units to align services with business needs.
• Manage vendor relationships and outsourced service providers.
• Develop talent and foster a culture of innovation and accountability.

Director, End User Services Qualifications

• Bachelor degree in Information Technology, Business, or related field (Masters preferred).
• 10+ years of experience in IT End User Services or IT Operations, with at least 5 years in leadership.
• Proven experience implementing AI/automation in IT support environments.
• Strong knowledge of:

• ITIL / ITSM frameworks
• Endpoint management (e.g., Intune, SCCM, Jamf)
• Service management platforms (e.g., ServiceNow)
• Identity & Access Management (IAM)

• Demonstrated success improving break/fix performance, request fulfillment, and asset management.
• Experience managing global teams and third-party vendors.

Key Skills

• Strategic thinking with hands-on execution ability
• Data-driven decision making
• Process optimization and automation mindset
• Strong leadership and stakeholder management
• Excellent communication and change management skills

Success Metrics

• Reduction in Mean Time to Resolve (MTTR)
• Increased automation/deflection rates
• Improved CSAT/NPS scores
• Reduction in ticket volume through self-service
• Asset accuracy and lifecycle compliance
• Faster access/request fulfillment times

3 Director, End User Services 0-60-90 Day Plan (High-Impact)
First 30 Days – Diagnose, Triage, Act
Objective: Establish control, deliver quick wins, and expose gaps.

• Stand up a daily operations cadence (incident review, backlog burn-down, SLA tracking).
• Baseline and publish core metrics:

• MTTR, First Contact Resolution (FCR), ticket volume drivers, request cycle times, asset accuracy.

• Identify and eliminate top 5 ticket drivers (knowledge gaps, repeat incidents, misrouted requests).
• Launch immediate automation quick wins:

• Password resets, common access requests, software installs.

• Audit and correct critical asset inventory discrepancies (focus on high-risk / high-value assets).
• Map current access/request workflows and remove obvious approval bottlenecks.
• Establish executive visibility (weekly dashboard + risks + actions).

Deliverables:

• Live performance dashboard
• Top issues + remediation plan
• First automation use cases in production
• Stabilized service desk operations

Days 31–60 – Build, Standardize, Prove Value
Objective: Shift from reactive to structured, repeatable execution.

• Deploy AI-enabled capabilities:

• Virtual agent for Tier 0 support
• Automated ticket routing and triage
• Self-healing for common endpoint issues

• Reduce ticket volume by targeting 15–25% deflection through:

• Self-service expansion
• Knowledge base overhaul (top 20 issues)

• Implement RCA discipline for recurring incidents with enforced ownership.
• Redesign service catalog and request workflows:

• Standardize, simplify, and automate fulfillment

• Establish asset lifecycle controls:

• Intake? deployment? refresh? disposal tracking
• Monthly reconciliation cadence

• Introduce XLAs (experience metrics) alongside SLAs.

Deliverables:

• Measurable reduction in ticket volume and MTTR
• AI/automation actively handling real workloads
• Standardized, faster request fulfillment
• Asset visibility improved with audit-ready tracking

Days 61–90 – Scale, Optimize, Institutionalize
Objective: Lock in gains and scale transformation across the enterprise.

• Expand automation to end-to-end workflows:

• Joiner/mover/leaver (JML) processes
• Role-based access provisioning

• Achieve sustained improvements:

• MTTR reduction (target 20–30%)
• Increased FCR
• Noticeable CSAT/NPS lift

• Operationalize a productivity model:

• Shift-left strategy fully in motion
• Tier 1 handling majority of volume via automation/self-service

• Implement cost and efficiency controls:

• Optimize hardware/software utilization
• Reduce redundant tools/licenses

• Formalize governance and operating model:

• KPIs, ownership, vendor accountability
• Continuous improvement pipeline

• Present executive roadmap (6–12 months) with ROI tied to automation and efficiency gains.

Deliverables:

• Scaled automation with measurable ROI
• Faster, simpler access and request experience
• Fully governed asset management program
• Clear forward roadmap aligned to business outcomes

90-Day Impact Snapshot

• 20–30% reduction in MTTR
• 15–30% ticket deflection via automation/self-service
• Significant improvement in request turnaround times
• Instill confidence in asset inventory accuracy
• Visible shift from reactive support? intelligent, proactive service

#RT
#DICEJOBS]]> Wed, 01 Apr 2026 00:00:00 EDT 0