Digital Consulting Director-Oracle Student Financial Aid (Technical) (Chicago)

Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We collaborate with education organizations to develop strategies and implement solutions that enable the transformative change our clients need to own their future. Together, we empower clients to drive innovation, create sustainable funding streams and deliver better student outcomes.Today, leaders of higher education institutions and academic medical centers are spending too much time reacting to market forces, rather than focusing on the essential priorities that help students, faculty and staff thrive. The most productive path forward requires an intentional approach and innovative thinking, whereby stakeholders across the entire institution rally around a shared vision and embrace the hard work of effecting change.You’ll help our clients to achieve organizational effectiveness, improve student outcomes, implement new technologies and align resources and investments to ensure long-term sustainability.Join our team as the expert you are now and create your future.What does it mean to head up a world-class tech team, one with deep collective knowledge and admirable achievement? It means you’ve ascended to the rank of Huron Technical Director. worthy of industry-wide respect and recognition. When you take on this key role, you inherit a host of responsibilities, challenges, and rewards. Imagine the difference you can make by providing leadership, coaching, and mentorship to analysts, associates, managers, subcontractors, and client personnel that rely profoundly on such guidance and supervision.Technical Directors engage in a multitude of industry and Practice responsibilities. They identify gaps in practice knowledge… discover strategies to enhance capabilities… develop detailed project plans… manage budgets and resource loads …and leverage expertise across the organization. They also handle engagement economics, develop/manage senior level client relationships, and ensure high-level quality/efficiency on projects and deliverables.The responsibilities of Tech Director are considerable. But the job’s challenges… complexities… contributions… they will bring you robust professional growth—and profound personal satisfaction.Qualifications:7 years experience as technical developer; 5 years experience as technical lead; Oracle Student Financial Aid (SFA) and groovy scripting expertise; knowledge of Oracle Cloud Infrastructure; experience with cloud implementations and integrations; end-to-end implementation experience8-10 years’ experience in a consulting or advisory role as a technical specialist, architect, and/or developer with Oracle Student Financial Aid (SFA)The ability to train and participate in the professional development of Huron technical staffThe ability to contribute on multiple projects of differing scale and durationAbility and willingness to support pursuit activities by attending and participating in orals as a technical expertHuron requires a Bachelor’s Degree in a field related to this position or equivalent work experienceWillingness to travel up to 50%Flexible living locations in the U.S.The estimated base salary range for this job is $175,000-$225,000. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $218,750-$303,750. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.LI-RemoteLI-KP1Position LevelDirectorCountryUnited States of America J-18808-Ljbffr

Principal Solutions Architect (Req1048) (San Ramon)

Principal Solutions Architect (Req1048) San Ramon, CA Overview We are seeking an elite Solutions Architect to lead the end-to-end design, sizing, and deployment of NVIDIA AI Factory-aligned infrastructure. In this highly technical, customer-facing role you will translate complex AI and machine learning workload requirements into fully engineered infrastructure solutions spanning colocation facilities, GPU compute, high-performance networking, parallel storage, and the complete NVIDIA AI software stack. You will serve as a trusted technical advisor to enterprise and hyperscale customers, partnering with sales, product, and engineering teams to win and deliver transformational AI infrastructure programs. Your expertise will directly shape how organizations build and operate production AI Factories capable of training frontier models, running large-scale inference fleets, and accelerating data science pipelines at scale. Your Impact Lead discovery workshops to capture AI/ML workload requirements, including model training scale, inference SLAs, data pipeline throughput, and multi-tenancy needs. Architect full-stack AI Factory solutions aligned to NVIDIA reference architectures, integrating colocation, GPU compute, networking, storage, and software layers. Develop detailed Bills of Materials (BOMs), rack elevation diagrams, network topology drawings, and power/cooling budgets for customer proposals. Define GPU cluster architectures using NVIDIA DGX, HGX, and MGX systems with B200, B300, and GB300 Blackwell SXM and NVLink-Switch configurations. Design RTX PRO 6000 Blackwell Server Edition deployments for inference-optimized and enterprise AI workloads. Conduct workload sizing and TCO/ROI modeling to validate infrastructure dimensioning for training, finetuning, and inference at scale. Colocation & Facility Planning Specify colocation requirements including critical power load (MW-scale), UPS and generator configurations, and PUE targets. Design high-density GPU deployments utilizing air-cooled, direct liquid cooling (DLC), and rear-door heat exchanger configurations. Define meet-me room (MMR) and cross-connect requirements; specify carrier-neutral telecom diversity strategies. Engage colocation providers and data center operators to validate capacity availability and negotiate technical SLAs. Coordinate with facilities and MEP engineers to validate power infrastructure from utility feed through PDU to rack level. GPU Compute Infrastructure Architect multi-node GPU clusters optimized for large language model (LLM) pre-training, fine-tuning, and reinforcement learning from human feedback (RLHF). Size and configure DGX SuperPOD, HGX H/B-series, and MGX modular systems based on model parameter count, dataset size, and iteration timelines. Define server firmware, BIOS, BMC, and DGXOS baselines for production GPU infrastructure. Establish GPU health monitoring, RAS (Reliability, Availability, Serviceability) policies, and lifecycle management procedures. High-Performance Networking Design backend GPU fabric networks using NVIDIA Quantum InfiniBand (NDR 400Gb/s and HDR 200Gb/s) for distributed training traffic. Architect Spectrum-X Ethernet-based AI networking solutions for inference clusters requiring highbandwidth, low-latency connectivity. Specify ConnectX-8/7 HCA deployments and configure RDMA over Converged Ethernet (RoCEv2) or InfiniBand transport for NCCL collective operations. Integrate BlueField-3 DPUs for GPU-accelerated network functions, storage offload, zero-trust security isolation, and bare-metal provisioning. Design leaf-spine and fat-tree topologies for non-blocking bisectional bandwidth in GPU training clusters. Define Quality of Service (QoS) policies separating storage, compute fabric, and management plane traffic. Design high-performance parallel file system solutions using VAST Data, Hammerspace, and Pure Storage FlashBlade//E for AI training and checkpoint storage. Size storage capacity, IOPS, and throughput based on dataset characteristics, checkpoint frequency, and concurrent reader/writer counts. Architect multi-tier storage hierarchies: hot NVMe flash (VAST/FlashBlade) for active datasets, warm object storage for model archives, and cold tape/cloud for long-term retention. Configure VAST Data Universal Storage for disaggregated storage with NFS, S3, and POSIX access; tune for large sequential read performance. Deploy Hammerspace Global Data Environment for distributed data management and NFS-over-RDMA acceleration across geographically dispersed GPU clusters. Define data pipeline architectures ingesting from cloud object stores (S3, GCS, ABS) to local flash for GPUlocal data loading without I/O bottlenecks. AI Software Stack & Orchestration Deploy and configure NVIDIA AI Enterprise (NVAIE) software stack including NVIDIA GPU Operator, NIM microservices, and RAPIDS accelerated data science libraries. Architect inference serving infrastructure using NVIDIA NIM (NVIDIA Inference Microservices) for optimized LLM and vision model deployment with autoscaling. Implement NVIDIA Dynamo for distributed inference and disaggregated serving of large-scale generative AI models. Configure and optimize CUDA toolkit, cuDNN, NCCL communication libraries, and custom kernel environments for training workloads. Deploy Base Command Manager and DGXOS for cluster lifecycle management, node provisioning, health dashboards, and job scheduling integration. Integrate NVIDIA Mission Control for AI Factory operations, observability, and multi-cluster fleet management. Design and deploy Kubernetes-based AI platforms using NVIDIA GPU Operator, integrating with Run:ai for dynamic GPU resource scheduling and multi-tenant workload isolation. Configure SLURM workload manager for traditional HPC-style job scheduling on bare-metal GPU clusters, including preemption policies, fair-share scheduling, and burst-to-cloud integration. Establish MLOps toolchain integrations with popular frameworks (PyTorch, JAX, TensorFlow) and experiment tracking platforms (MLflow, Weights & Biases). Serve as primary technical point of contact throughout the pre-sales and delivery lifecycle, from initial discovery through post-deployment optimization. Produce and present architecture design documents, technical proposals, and executive-level briefings to CTO/CIO and VP-level stakeholders. Lead proof-of-concept (POC) and pilot deployments, including benchmark design, execution, and results analysis. Collaborate with procurement, logistics, and deployment teams to ensure on-time delivery of complex infrastructure programs. Provide post-deployment hypercare support, performance tuning, and capacity planning advisory services. Contribute to internal knowledge bases, solution playbooks, and reference architectures for repeatable AI Factory deployments. Candidates must demonstrate deep, hands-on expertise across the following technology domains: GPU Compute DGX B200 / B300, DGX H100 / H200, HGX B200 / B300, HGX H100 / H200, MGX platforms, GB300 NVL72 / GB200 NVL72, RTX PRO 6000 Blackwell Server Edition, NVLink Switch System, NVLink-C2C Networking NVIDIA Quantum InfiniBand (NDR 400G, HDR 200G), Spectrum-X Ethernet, ConnectX-8 / ConnectX-7 HCAs, BlueField-3 DPU, SHARP in-network computing, UFM Fabric Manager, RDMA / RoCEv2 / InfiniBand Storage VAST Data Universal Storage (NFS/S3/POSIX), Hammerspace Global Data Environment, Pure Storage FlashBlade//E (Evergreen//One), NFS-over-RDMA, parallel file systems (Lustre, GPFS/WEKA), S3-compatible object storage AI Software NVIDIA AI Enterprise (NVAIE), NIM Microservices, RAPIDS (cuDF, cuML, cuGraph), NVIDIA Dynamo, CUDA Toolkit, cuDNN, NCCL, TensorRT, Triton Inference Server Base Command Manager, DGXOS, NVIDIA Mission Control, DGX Cloud, UFM, IPMI / Redfish BMC management Orchestration Colocation Frameworks PyTorch, JAX, TensorFlow, Hugging Face Transformers, DeepSpeed, Megatron-LM, vLLM, LMDeploy Qualifications Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 8 years of solutions architecture, systems engineering, or technical pre-sales experience, with at least 4 years focused on GPU infrastructure or HPC environments. Proven track record designing and deploying NVIDIA DGX or HGX-based GPU clusters in production AI/ML environments. Deep understanding of distributed deep learning concepts: tensor parallelism, pipeline parallelism, data parallelism, gradient checkpointing, and mixed-precision training. Hands-on experience with InfiniBand or high-speed Ethernet fabric design, RDMA configuration, and collective communication tuning (NCCL, MPI). Direct experience sizing and deploying parallel storage systems (VAST, Hammerspace, or Lustre/WEKA/GPFS) for AI training workloads. Strong working knowledge of Kubernetes, GPU Operator, and at least one GPU workload scheduler (Run:ai or SLURM). Experience with Linux system administration, CUDA development environment configuration, and GPU driver/firmware management. Demonstrated ability to create compelling technical proposals, architecture diagrams (Visio/Lucidchart/draw.io), and BOM-level documentation. Exceptional communication skills with proven ability to present to both deep technical

Chief Compliance Officer (, NJ, United States)

Chief Compliance Officer — Institutional Brokerage/Broker Dealer & Trading This is an executive leadership mandate for a global fintech trading brand — join the C-suite of a fast-scaling institutional brokerage platform spanning trading, clearing, and digital assets. You'll report directly into the executive leadership team and Board, shaping regulatory strategy at the highest level of the organization. What's on offer: A rare seat at the top table. Above-market total compensation package, including base salary and a significant discretionary bonus tied to firm and individual performance A genuine executive leadership seat — direct Board exposure and a voice in strategic decision-making, not just a compliance function head The platform of a recognized global trading and fintech brand, with real runway to build and scale a function as the business grows across new markets and asset classes The role: As CCO, you will own the compliance agenda for the firm's broker-dealer entities, acting as chief architect of the supervisory framework and the firm's principal voice with regulators. This is a build-and-lead mandate — you'll shape the function's future direction, not simply maintain what exists. What we're prioritizing in this hire: 1. Institutional broker-dealer depth. Real, hands-on experience inside institutional brokerage — trading, clearing, prime brokerage, or market access — is essential. You should know these businesses from the inside, not just from an advisory seat. 2. Regulator-side pedigree. Candidates with direct experience at FINRA, the SEC, or an equivalent regulatory/self-regulatory body will stand out. This background brings a level of regulatory fluency and credibility with examiners that's difficult to replicate. 3. Proven leadership of a compliance function. You've built, led, or significantly scaled a compliance team — ideally spanning surveillance, AML, and supervisory functions — and can demonstrate you can lead people, not just policy. Baseline requirements: 10 years in broker-dealer compliance within regulated financial services Series 7 and 24 required; Series 3 required or obtainable shortly after start Track record managing regulatory examinations and enforcement matters at a senior level Prior CCO, Deputy CCO, or Head of Compliance title strongly preferred J-18808-Ljbffr

Director, Product Staff (Pierre)

Summary: Instagram is where over 3 billion people discover, create, and connect — and we've built one of the best consumer product teams in the industry to make that possible. Product Staff is how we build at Instagram: small, talent-dense teams of product builders, engineers, designers, and data scientists focused on creating amazing products directly. Beyond setting strategy, Members of the Product Staff create directional design, analyze data hands-on, and leverage AI tools to move faster with fewer handoffs. We are looking for product builders who value moving quickly and embrace AI-native product development. Required Skills: Director, Product Staff Responsibilities: Vision & Strategy: Is the primary driver for identifying and shaping transformative, long-term opportunities across multiple large Product areas or portfolios, setting vision and strategy that influences Meta’s broader organizational and industry direction. Generates buy-in and drives consensus across multiple organizations and senior leadership, bringing clarity and structure to highly ambiguous, company-level opportunities consistently demonstrates initiative and executes with minimal oversight, often setting new standards. Set the standard for critically evaluating when AI is (and isn't) the optimal solution across product portfolios. Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide excellence. Leadership & Collaboration: Lead a team through the ideation, technical development, and launch of innovative products. Drive product development with a team of world‑class engineers and designers. Attract, build, manage, and develop a talented team of product staff and product leaders with a broad range of experiences, perspectives, approaches, and backgrounds—with emphasis on AI-native capabilities. Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale. Foster a culture of rapid experimentation and learning that becomes a competitive advantage for the organization. Scale AI best practices (including responsible AI use), workflows, and artifacts across teams so organizational capability compounds over time. Structure an org effectively around the most critical priorities and goals, including the right mix of generalist Product Staff and specialist depth. Proactively increases the capacity of the effort through efficiency and recruiting. Own org-wide standards and company-wide quality oversight standards for how Product Staff engage with data, including when tool-generated output is trustworthy versus when specialist validation is required. Execution & Prioritization: Orchestrate complex execution across multiple teams and organizations by combining AI automation with strategic human oversight. Maximize efficiency in a constantly evolving environment where the process is fluid and innovative solutions are the norm. Technical / Analytical / Design: Set expectations for product technical capability, including use of AI-enabled tools to build products. Integrate usability studies, research and market analysis into product requirements to enhance user satisfaction. Ensure teams understand system/architecture trade‑offs and how they impact user experience and business outcomes. Communication: Express complex and technical concepts at the right altitude, choosing the right medium and level of detail for executive, engineering, and cross‑functional audiences. Measurement & Impact: Define and analyze metrics that inform the success of products. Establish evaluation (evals) as a first‑class product practice across teams for AI‑powered experiences. Drive decision‑making through user insights, quantitative analysis, and AI‑accelerated experimentation. Minimum Qualifications: 12 years of experience in Product Management and/or Product Design 10 years of experience working collaboratively with engineering, design and user research teams 8 years of experience hiring, managing, and developing both individual contributors and senior leaders Critical thinking/analytical leadership experience Demonstrated proficiency using AI-enabled tools to build product artifacts at scale Experience developing and championing AI‑native strategies across organizations Experience presenting to senior executive audiences BA/BS in Computer Science or related field Public Compensation: $249,000/year to $323,000/year bonus equity benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Aff We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected]. J-18808-Ljbffr

Director, Software Engineering (, MO, United States)

SAE Industry Technologies Consortia (ITC), Performance Review Institute (PRI) and SAE International (SAE), deliver shared solutions to industry's common challenges. Join us and create a higher standard for a better world. Provide the overall leadership for the technology strategy, software engineering oversight, code quality, release governance, process improvement, risk mitigation, budget management, platform performance, and overall team leadership. This team, depending on project assignment, will be responsible for full stack applications and platforms including micro-services, process daemons, and artificial intelligence, natural language processing systems and front end user experience. Responsible for leading large-scale teams of insourced and outsourced talent and interface with product management, solution architects, UX, support and other engineering teams to ensure the development of event driven microservice architecture with a clean and usable front end. This role is a Group-wide position serving technology needs in multiple affiliates, SAE International, Performance Review Institute (PRI) and SAE Industry Technologies Consortia (ITC). Director of Engineering - Applications - Responsible for our internal and external facing applications. Includes teams such as EAN, Mobilus, StandardsWorks, Curator, WMI, etc. ESSENTIAL FUNCTIONS Help establish software engineering standards and guidelines for software engineering organization. Present issues and risks, and their business impact to management in a timely manner with proposed mitigation. Actively seeks and removes impediments to team success regardless of where they originate. Assess, define, and execute team structure; constantly review and adjust team structure to maximize agility and efficiency. People leadership for engineering, quality, and other teams. Provide professional development, mentoring, performance management, recruiting, and all other aspects of people management for the staff. Develop, plan, monitor and execute the technology strategy for the team and providing overall technical direction to the technology and other cross-functional partners that ensure innovation in all we do. Drive quality through automated testing, release governance and high platform performance Collaboration across multiple business units and functional departments to develop and deploy solutions that address key business initiatives, supporting new revenue opportunities Monitor and manage budget for software engineering teams. MINIMUM REQUIREMENTS 10 years of progressive software engineering experience, including 7 years of hands‑on development in modern technologies. Metric driven - understands and leverages metrics across the scrum process, jira tickets, project plans, business metrics and application logging to ensure continuous improvement based on trends. 7 years leading and developing high-performing software engineering teams, with demonstrated success managing managers and/or multi‑disciplinary technical teams. 3 years of experience designing and operating Microservices architectures in a production environment. Broad technical leadership experience, with proven ability to evaluate, design, implement, and modernize software ecosystems, platforms, and engineering processes at scale. Demonstrated experience driving engineering strategy, roadmap development, and architectural direction in alignment with business priorities and budget requirements. Exceptional leadership and people‑management skills, including coaching, developing talent, and cultivating collaborative, high‑accountability engineering cultures. Highly innovative, entrepreneurial, and customer‑focused mindset, with a strong ability to introduce new ideas, challenge assumptions, and drive continuous improvement. Outstanding communication and relationship‑building skills, with ability to work effectively across organizational levels and cross‑functional teams. Experience with Infrastructure as Code (IaC) and modern DevOps practices. Ability to provide strategic recommendations that influence the broader Information Technology and product landscape. Strong business acumen, with the ability to translate business needs into scalable technical solutions. Proven ability to diagnose and resolve complex technical issues, leveraging both analytical and creative problem‑solving. Ability to set clear goals, establish accountability, and drive execution within engineering teams. Self‑starter with a strong bias for action, ownership, and results. Demonstrated focus on quality, operational excellence, and delivering measurable outcomes. Ability to think strategically and challenge conventional approaches to drive innovation and long‑term value. PREFERRED QUALIFICATIONS Master's degree in engineering, computer science or related fields. Hands‑on experience with CI/CD WORKING CONDITIONS AND PHYSICAL REQUIREMENTS This is a hybrid role with regular in‑office presence required. Occasional travel may be required (up to 10%). Requires the ability to lift up to 25 pounds (e.g., IT hardware, equipment). Prolonged periods of computer use and sitting at a desk are expected ABOUT THE ORGANIZATION SAE IndustryTechnologies Consortia (SAE ITC) enables organizations to define and pilot best practices. SAE ITC industry stakeholders are able to work together to effectively solve common problems, achieve mutual benefit for industry, and create business value. The Performance Review Institute (PRI) is the world leader in facilitating collaborative supply chain oversight programs, quality management systems approvals, and professional development in industries where safety and quality are shared values. SAE International (SAEI) is a global organization serving the mobility sector, predominantly in the aerospace, automotive and commercial‑vehicle industries, fostering innovation, and enabling engineering professionals. Since 1905, SAE has harnessed the collective wisdom of engineers around the world to create industry‑enabling standards. Likewise, SAE members have advanced their knowledge and understanding of mobility engineering through our information resources, professional development, and networking. Fullsight is a shared services group working across three affiliate organizations, SAE ITC, SAE International, and Performance Review Institute (PRI), uniformly delivering HR, IT, Legal, Customer Success, Finance, and Procurement services, which enables us to distribute resources across all parts of our businesses. EEO CLAUSE Fullsight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. J-18808-Ljbffr