44 jobs found

Description: At MetaMetrics, we believe every learner deserves the opportunity to succeed. Our mission is to empower educators, students, and families with trusted assessment solutions that provide meaningful insights and support learning. We're looking for a passionate and experienced Senior Psychometrician to help advance that mission. As a Senior Psychometrician, you will play a pivotal role in ensuring the validity, reliability, and fairness of our assessment products. Working alongside talented colleagues across research, product, engineering, and customer success, you'll apply rigorous psychometric principles to develop innovative assessment solutions that improve educational outcomes for millions of learners. This role offers the opportunity to influence the future of educational measurement while collaborating with a mission-driven team dedicated to making a lasting impact. The key responsibilities and qualifications for this position are outlined below. Please submit a cover letter that tells us why this opportunity interests you, highlights the experience and accomplishments that best prepare you for the role, explains why you believe you're a great fit for our mission and culture, and shares why you're excited to join our team. Essential Duties & Responsibilities Develops plans and executes psychometric projects and research according to priorities and resource availability. Directs the creation and maintenance of project schedules, communication with clients, evaluation of external data, and review of process and results produced by Research Analysts. Conducts independent linking/equating and research studies, supports the completion of studies by others, and develops white papers and research summaries. Implements and improves psychometric research methods and processes at MetaMetrics according to best practices, industry standards, and academic literature. Maintains awareness of psychometric literature and methods regarding test and delivery methods (e.g., fixed-form, computer adaptive, and linear-on-the-fly), statistical methods (e.g., simulation studies), and computational psychometrics (e.g., machine learning, Bayesian inference). Provides ad hoc or planned expert consultation to clients and their stakeholders (e.g., technical advisory committees) regarding methods, results, and interpretation of MetaMetrics products and services. Perform other duties as assigned. Supervisory Responsibilities None. Provides support only in accordance with the organization's policies and applicable laws. Requirements: Education and/or Experience: A doctoral degree (Ph.D.) or equivalent in educational statistics, measurement, psychometrics, or related field is required, along with 5+ years of experience as a practicing psychometrician. Extensive experience with educational assessment and standard psychometric procedures (e.g., item analysis and calibration, score equating, scale linking). Familiarity with education technology infrastructure and development, including relational databases, software development languages (e.g., C++), and technologies (REST APIs), and program management (e.g., Agile). Computer Skills: Extensive experience with standard office and productivity software (e.g., Google Suite, Microsoft Office). Proficiency with general statistical software (e.g., R; Python) and specialized psychometric software (e.g., WINSTEPS, FACETS). Other Qualities: Language Skills : Ability to read, analyze, and interpret common scientific and technical journals and reports. Ability to respond to common inquiries from researchers, customers, or members of the general public. Ability to write presentations and articles for publication that conform to prescribed style and format. Ability to effectively present information to colleagues, management, and/or public groups. Psychometric Skills : Ability to apply advanced mathematical concepts such as exponents, logarithms, quadratic equations, and permutations. Ability to design and implement analyses related to test reliability and validity, analysis of variance, correlation techniques, sampling theory, and latent variable modeling. Ability to apply and interpret statistical procedures, including but not limited to Rasch calibration, linking, and equating. Presentation Skills: Ability to clearly and succinctly present analyses results to internal stakeholders (e.g., Sales, Test Development), external partners, and respond to psychometric and measurement questions related to MetaMetrics' core business. Reasoning Ability : Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with a variety of abstract and concrete variables. Publishing - A track record of peer-reviewed research publications and conference papers is preferred. PM18 Compensation details: 00 Yearly Salary PI9367e9dafb06-6481

Responsibilities The Senior Analyst will be a key member of the Portfolio Management team, supporting the management and execution of investment strategy across a diversified fund. The role provides broad exposure to portfolio management, acquisitions, asset management, financing, dispositions, valuations, and client reporting. Primary responsibilities include: Support portfolio-level analysis, forecasting, and strategic decision-making, including portfolio construction, investment pacing, liquidity, concentration, and risk analysis. Evaluate prospective investments to determine alignment with portfolio objectives, including return requirements, market and sector exposure, tenant and lease rollover, concentration, and overall portfolio fit. Prepare and review portfolio-level financial analyses, performance reports, client materials, and internal management reporting. Assist with the analysis of new investments to ensure that the opportunity meets the goals and objectives of the portfolio, including market reviews, analyzing rollover exposure, confirming return thresholds and assessing concentration risks. Monitor property and portfolio performance relative to budgets, business plans, underwriting, and investment objectives; identify key trends, risks, and opportunities. Maintain and enhance portfolio models, forecasts, cash flow projections, and other analytical tools used to support portfolio management decisions. Coordinate with Asset Management and third-party appraisers in connection with property valuations, operating budgets, business plans, and quarterly portfolio reviews. Support financing, refinancing, disposition, and other capital markets transactions. Maintain historical portfolio and peer data, and prepare recurring competitive set updates benchmarking performance, strategy, investment activity, and positioning relative to peers. Partner with colleagues across Portfolio Management, Acquisitions, Asset Management, Research, Finance, and Client Capital Management In portfolio initiatives and special projects. Qualifications Bachelors degree required; degree in finance, economics, real estate, business, or a related discipline preferred. 13 years of relevant experience in commercial real estate, investment management, investment banking, financial services, or a related field. Strong financial modeling and analytical skills, with advanced proficiency in Microsoft Excel. Experience with ARGUS Enterprise preferred. Excellent written and verbal communication skills, with the ability to synthesize complex analysis into clear conclusions. Strong attention to detail and organizational skills, with the ability to manage multiple priorities and deadlines. Ability to work both independently and collaboratively across multidisciplinary teams. Candidate should be proactive and self-motivated. Strong work ethic, integrity and commitment to meet deadlines are essential candidate attributes.

Job Description Job Description About the Institute of Foundation Models The Institute of Foundation Models is a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, support the next generation of AI builders, and develop impactful systems that improve how frontier models are trained, evaluated, deployed, and governed. As part of our team, you will work closely with researchers, machine learning engineers, data scientists, software engineers, and product teams on some of the most important challenges in AI development. You will contribute to systems that help measure model quality, identify failure modes, and improve the reliability, safety, and readiness of model releases. The Role We are looking for an Eval360 - Error Analysis Engineer to help build, improve, and operate Eval360, an evaluation service that serves as a quality gate for AI models. This person will focus specifically on error analysis : understanding where models fail, why they fail, how those failures should be categorized, and how evaluation systems can better detect, measure, and prevent these issues before models are released. You will collaborate with researchers, machine learning engineers, product managers, data scientists, and platform teams to develop AI evaluation applications and internal tools based on next-generation AI research. You will be part of a cross-functional team responsible for the full software development lifecycle, from requirements gathering and system design to implementation, deployment, monitoring, debugging, documentation, and continuous improvement. The ideal candidate is comfortable working across the stack, including front-end interfaces for reviewing errors, back-end evaluation pipelines, data analysis workflows, model evaluation infrastructure, databases, dashboards, and APIs. This person should have strong software engineering skills, excellent analytical judgment, and the ability to turn ambiguous model failures into structured insights that improve evaluation quality. Key Responsibilities • Collaborate with researchers, machine learning engineers, data scientists, product managers, and internal stakeholders to implement innovative software solutions for Eval360 and related model evaluation workflows. • Build and improve Eval360 as an evaluation service that acts as a quality gate for model development, model comparison, and model release decisions. • Perform deep error analysis on model outputs, including identifying failure patterns, categorizing issues, tracing root causes, and proposing improvements to evaluation methodology. • Develop tools, workflows, and dashboards that make it easier for researchers and engineers to inspect model failures, compare model behavior, and understand quality regressions. • Design and implement client-side and server-side architecture for evaluation review systems, error analysis interfaces, reporting tools, and internal evaluation applications. • Develop responsive, usable interfaces that support error triage, annotation review, evaluation debugging, and model quality investigation. • Build and maintain back-end services, APIs, data pipelines, and integrations that support evaluation execution, results storage, analysis, and reporting. • Test software to ensure responsiveness, correctness, reliability, and efficiency across evaluation workflows. • Troubleshoot, debug, and upgrade evaluation systems, including identifying issues in data processing, evaluation metrics, model output handling, job orchestration, and user-facing analysis tools. • Create and maintain security, access control, and data protection settings for evaluation data, model outputs, annotations, and internal tooling. • Write clear technical documentation for Eval360 systems, error taxonomies, evaluation workflows, debugging procedures, and user-facing tools. • Work with researchers, data scientists, analysts, and machine learning engineers to improve evaluation quality, model diagnostics, and failure-mode visibility. • Keep track of new development tools, evaluation frameworks, model analysis methods, data quality techniques, and architectures relevant to AI evaluation systems. • Contribute to the design of error taxonomies, evaluation rubrics, quality thresholds, regression detection methods, and model readiness criteria. • Help ensure Eval360 produces reliable, interpretable, and actionable signals for model quality gates. • Contribute to research publications, technical reports, internal knowledge sharing, and external presentations where appropriate. • Contribute to intellectual property and thought leadership in AI evaluation, error analysis, model quality measurement, and evaluation infrastructure. • Perform all other duties as reasonably directed by the line manager that are aligned with these functional objectives. Academic Qualifications • Bachelor's degree in Computer Science, Machine Learning, Data Science, Software Engineering, Statistics, or a related technical field required. • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field preferred. Professional Experience • Proven experience as a Software Engineer, Full Stack Developer, Machine Learning Evaluation Engineer, Data Scientist, AI Engineer, or similar role. • Experience building software systems for AI, machine learning, data analysis, evaluation, annotation, experimentation, or model monitoring. • Experience working with AI algorithms and the ability to develop systems that accommodate AI-related requirements. • Experience performing error analysis, model evaluation, data quality analysis, or failure-mode investigation for machine learning or language model systems. • Experience developing internal applications, dashboards, review tools, or web-based workflows for technical users. • Familiarity with common software stacks, including front-end frameworks, back-end services, databases, APIs, and cloud or internal infrastructure. • Familiarity with GitHub, Git, CI/CD workflows, and collaborative software development practices. • Knowledge of front-end languages and libraries such as HTML, CSS, JavaScript, TypeScript, React, Angular, or similar technologies. • Knowledge of back-end languages and frameworks such as Python, Java, C#, Node.js, FastAPI, Flask, Django, or similar technologies. • Familiarity with databases such as MySQL, PostgreSQL, MongoDB, or other structured and unstructured data stores. • Familiarity with evaluation frameworks, experiment tracking systems, data pipelines, or machine learning infrastructure is strongly preferred. • Ability to analyze complex model outputs and translate qualitative failures into structured, measurable categories. • Strong problem-solving and troubleshooting skills, especially for ambiguous technical issues involving models, data, metrics, and software systems. • Effective communication and collaboration skills, with the ability to work across research, engineering, data, and product teams. • Strong attention to detail and a high bar for evaluation quality, reliability, and interpretability. Preferred Qualifications • Experience with large language models, foundation models, multimodal models, or model evaluation systems. • Experience designing or using error taxonomies, evaluation rubrics, benchmark datasets, human evaluation workflows, or automated grading systems. • Experience with Python-based data analysis tools such as pandas, NumPy, Jupyter, or similar. • Experience with visualization or dashboarding tools for model quality analysis. • Experience with distributed systems, job queues, workflow orchestration, or large-scale data processing. • Experience working in a research environment or with fast-moving AI product and model teams. Salary Range The posted salary range represents the company's good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include • Comprehensive medical, dental, and vision benefits • Bonus • 401K plan • Generous paid time off, sick leave, and holidays • Paid parental leave • Employee assistance program • Life insurance and disability insurance

Job Description Job Description 100% ONSITE Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is "excellence," with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position. Job Description: NATO HQ Supreme Allied Command Transformation (NATO SACT) is seeking contract support to access to leading-edge capabilities necessary to adapt to future threats, integrate advanced technologies to modernize the force, explore long-term military strategy to shape how NATO's forces will operate in the future, and promote interoperability between current and next-generation platforms. To support our NATO customer, SimIS seeks a Senior Operations Research Analyst to support the capture, development, architecture, analysis, and quality assurance of capability requirements, and guiding the development and integration of emerging technologies to support NATO force design and strategic decision making. Qualifications Master's Degree in Operations Research, Applied Mathematics, or Statistics. 8 years of experience in military Operations Research, Operational Analysis, or Systems Analysis supporting policy development, capability development, or acquisition. 5 years of experience developing operational analysis requirements, scoping problems for study, developing analysis plans, and delivering high quality outputs that influence senior decision makers. Experience in gathering evidence and scoring operational effectiveness using various analytical methods and applying assessment frameworks (i.e., MoPs, MoEs, KPIs). Experience with cost estimating methodologies, methods, and processes. Experience working in a strategic or operational military command or multinational organization. Responsibilities: Conduct complex modeling, simulation, and quantitative analysis using tools and methodologies such as Monte Carlo simulation, discrete event simulation, optimization algorithms, predictive modeling, and multi-criteria decision analysis. Contribute to course of action (COA) analysis in support of Capability Development in order to mature NATO capability requirements and set programmatic direction. Conduct research to study and establish qualitative and quantitative assessments of operational effectiveness, undertake cost-effectiveness and risk-benefit studies and analyses. Attend engagements with NATO, National organizations, and / or industry to ensure cost estimation activities are likely to provide outputs of appropriate quality to support analysis. Analyze the potential impact of identified individual and aggregated risks and propose possible risk management approaches. Produce decision briefs / presentations describing the underlying rationale / justification for analytical outcomes. Benefits: Medical, Dental, and Vision Short-Term Disability (at no cost to you) & Long-Term Disability Life Insurance 401(k) Savings Plan Flex Spending Accounts Tuition Assistance Program Professional Development Paid Time Off (PTO) 11 Federal Holidays each year SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer Powered by JazzHR zTyj6du8ho

Job Description Job Description Position Title: Senior Operations Research Analyst Location: Redstone Arsenal Position Type: Full-Time Candidate will serve as the Sr Operations Research Analyst to an Army Product Office responsible for the development and defense of cost estimates to support acquisition decision-making. Candidate will plan, coordinate, and conduct independent cost analysis for the assigned program ensuring technical appropriateness, soundness, and accurate interpretation of results with regard to cost and budget. Perform the calculation and forecasting of the future costs of systems, projects/programs, resources, to support independent studies, funding decisions, and various management reviews (e.g., milestone reviews, budget reviews). Create and maintain lifecycle cost estimates in ACE-IT. Develop cost estimating methodologies based on available data sources. Perform the planning and development of controls and provide expert technical analyses, budgetary advice, and guidance regarding the development and implementation of resource allocations and plans in order to defend budget activities. Conduct analysis and provide recommendations by applying expert knowledge of a broad range of cost analysis strategies to include mathematics, statistical analysis, parametric and non-parametric analysis, computer modeling, regression analysis, and economic analysis. Coordinate with the PAE FIRES and PM IFMC Program Office Estimates for APBs and other milestone review documentation. Create documents and briefing charts that communicate current status and forecast on program with regard to cost. Receive and analyze Earned Value Management reports and make recommendations to Product Manager based on analysis. Required Qualifications: - A bachelors degree in mathematics, statistics, or Operations Research is desired. -10+ years of relevant work experience is desired. -History of supporting and engaging executive level leadership. -High understanding of MS Office suite and ACE-IT cost modeling experience is required. -Knowledge of US Army acquisition processes and experience working and closing actions/taskers that are briefed to higher headquarters and executive leadership. -The successful candidate will be highly organized, flexible and must demonstrate attention to detail and the ability to meet suspense's. -Candidate must be able to work with minimum guidance in addressing actions, and then use their own knowledge, ingenuity, innovation and experience to complete the product. -Excellent written and verbal communication's skills, people skills and enthusiasm are important, as well as the ability to handle a variety of tasks in a team environment. -Candidate must be a resident of Huntsville, Alabama or be willing to relocate to the Huntsville, Alabama area. -Active Secret Security Clearance. CULTURE REQUIREMENTS: • Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and self organized. We place a lot of trust in our team members to develop technical solutions for ill defined problems (i.e. thrive in an environment where the problem is vague, requirements are lacking, and a solution is not obvious). We need problem solvers. • We want our team members to be self motivated and eager to learn new skills. If you consider yourself a jack of all trades, and are eager to keep up with the latest trends in technology, you'll fit right in. ABOUT CINTEL, INC: Cintel Inc. is a Small Business providing strategies and services to support an array of Government clients in Software Development, Operational/Tactical and Installation/Facilities Energy, Cyber Security, Modeling and Simulation, Data Science, and Programmatic support. We offer our clients nimble, unique, and value focused solutions with an emphasis on people, connectivity, communication, and teamwork. Our team believes that people drive solutions. By connecting people, information, teams, and experience we deliver solutions that respond to customer needs. It is the policy of Cintel that all persons are entitled to equal employment opportunity regardless of their race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or veteran status. These policies shall ensure that the practice of nondiscrimination will be applied in the employment, promotion, upgrading, demotion, transfer, layoff, termination, recall or rehire of personnel. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training. Cintel, Inc. expressly prohibits any form of unlawful employee harassment or discrimination based on any of the characteristics mentioned above. Improper interference with the ability of other employees to perform their expected job duties is not tolerated.

Job Description Job Description Arizona Community Physicians IS Client Services Analyst Department Information Services Reports To Client Services Analyst Location Executive Central Business Office / ACP Locations Status Full-time Description Become part of Arizona Community Physicians (ACP), Arizona's largest and most successful physician-owned medical group. ACP is a patient-centered organization consisting of approximately 800 employees and 166 providers across family medicine, internal medicine, geriatrics, pediatrics, endocrinology, dermatology, and gynecology. ACP operates in 40+ locations of varying sizes throughout Tucson, Oro Valley, and Green Valley. Our Information Services Department is seeking a qualified candidate to join our collaborative Client Services team in delivering excellent technical support to ACP employees and clinical operations. This position is based at our Executive Central Business Office and supports users across ACP's administrative and clinical locations. Job Summary The IS Client Services Analyst provides first-level and intermediate technical support for endpoint computing hardware, software, peripherals, mobile devices, printers, and related systems. This role is responsible for responding to user requests, troubleshooting technical issues, supporting day-to-day operations, maintaining accurate documentation, and delivering a high level of customer service. The ideal candidate is technically capable, customer-focused, organized, and comfortable supporting users in both office and clinical environments. This position works under the direction of the Lead Client Services Technician and collaborates with other Information Services team members to resolve issues, complete service requests, and support technology projects. Essential Duties and Responsibilities Provides timely, professional, and courteous technical support to end users by phone, remote support tools, email, ticketing system, and in person. Troubleshoots and resolves issues related to desktops, laptops, virtual desktops, mobile devices, printers, scanners, peripherals, and common business applications. Supports Windows operating systems, Microsoft Office, Microsoft 365 applications, web browsers, Citrix-delivered Epic clinical applications, and other business software used throughout the organization. Performs user account support tasks such as password resets, account unlocks, access troubleshooting, and basic permissions support in accordance with ACP security procedures. Installs, configures, deploys, moves, and replaces endpoint hardware and related equipment. Assists with workstation imaging, software deployment, patching, hardware refreshes, and endpoint lifecycle activities. Maintains accurate records of support requests, troubleshooting steps, resolutions, asset assignments, and equipment movement. Tracks, updates, and maintains IT inventory including workstations, laptops, monitors, printers, mobile devices, and related equipment. Escalates complex or unresolved issues to the Lead Client Services Technician, Systems Administrators, vendors, or other appropriate resources. Communicates clearly with users, team members, vendors, and management regarding issue status, timelines, and resolution steps. Follows established technical procedures, documentation, security standards, and change control practices. Assists with onboarding and offboarding tasks, including workstation setup, equipment recovery, access coordination, and user support. Provides basic end-user training and guidance for standard hardware, software, security practices, and business applications. Travels to ACP clinic and business office locations as needed to provide onsite technical support. Participates in a rotating on-call schedule or after-hours support as required. Participates in IT projects and may assist with small-scale technology initiatives. Identifies recurring issues and suggests process, documentation, or technology improvements. Maintains professional knowledge by learning new technologies, tools, and procedures relevant to the role. Required Knowledge, Skills, and Abilities Working knowledge of Windows desktop operating systems in a corporate network environment. Basic understanding of Active Directory, user accounts, permissions, group membership, and password management. Familiarity with Microsoft Office and Microsoft 365 applications. Understanding of fundamental networking concepts including IP addressing, DNS, DHCP, Wi-Fi, VPN, and basic connectivity troubleshooting. Ability to troubleshoot hardware, software, printing, peripheral, and application issues. Strong customer service skills with the ability to communicate technical information to non-technical users. Ability to organize workload, prioritize support requests, and manage multiple tasks simultaneously. Ability to work independently while also contributing effectively as part of a team. Strong written and verbal communication skills. Ability to follow documented procedures and contribute to documentation when needed. Ability to remain calm and professional while supporting users in urgent or stressful situations. Ability to identify opportunities for process improvement and communicate suggestions appropriately. Physical, Travel, and Work Requirements Ability to lift up to 50 pounds and move computer-related equipment such as desktops, monitors, printers, scanners, and audio/visual equipment. Ability to perform work that may require kneeling, crawling, bending, reaching overhead, and working under desks or in equipment areas. Ability to travel between ACP locations in Tucson, Oro Valley, Green Valley, and surrounding areas as needed. Valid driver's license, reliable transportation, and clean driving record required. Availability to occasionally work evenings, weekends, or participate in an after-hours support rotation. Education and Experience Requirements Associate degree in Computer Science, Information Technology, related field, or equivalent technical certification or work experience. Minimum of 2 years of experience supporting desktop users in a networked business environment. Experience using a helpdesk ticketing system preferred. Experience supporting users in a healthcare, clinical, or multi-site business environment preferred. Preferred Qualifications Experience with endpoint management, imaging, software deployment, or patch management tools. Experience supporting Microsoft 365, Exchange Online, OneDrive, Teams, and SharePoint. Experience with Active Directory user and computer administration. Experience supporting printers, scanners, label printers, and other clinical or office peripherals. Experience with mobile device support. Experience with remote support tools. Experience working with vendors for hardware, software, telecom, or service-related issues. Basic knowledge of Linux, web administration, IIS, Apache, PHP, or JavaScript is a plus but not required.

Job Description Job Description About Miebach Miebach Consulting is a global leader in supply chain advisory and engineering. For more than 50 years, we have partnered with organizations worldwide to design, optimize, and transform their supply chains into strategic competitive advantages. Our consulting approach integrates deep operational expertise, advanced analytics, and innovative thinking to deliver measurable business impact. About the role Miebach Consulting is seeking a Supply Chain Engineering professional to support the design and delivery of innovative supply chain solutions across North America. This role is ideal for an experienced engineering professional who combines strong technical expertise with client-facing consulting capabilities and is passionate about helping organizations improve their distribution, manufacturing, and logistics operations. In this role, you will lead and support project workstreams, develop engineering solutions, collaborate with client stakeholders, and contribute throughout the project lifecycle. You will work closely with clients and internal project teams to analyze operations, evaluate technologies, develop facility and process designs, and support the implementation of strategic supply chain initiatives. This position offers the opportunity to work with leading organizations across industries such as consumer goods, life sciences, retail, fashion and apparel, manufacturing, and logistics while continuing to build expertise in supply chain engineering, automation, and operational transformation. Key Responsibilities Supply Chain Engineering and Design Lead engineering workstreams for supply chain consulting and implementation projects from project initiation through final recommendation and implementation planning Develop warehouse, distribution center, manufacturing, and logistics facility concepts and layouts Perform operational assessments, process analysis, capacity evaluations, and future-state design activities Develop labor models, throughput calculations, storage strategies, slotting concepts, and material flow analyses Evaluate automation technologies including ASRS, AMRs, conveyors, sortation systems, goods-to-person solutions, robotics, and warehouse execution technologies Support facility design activities from concept development through implementation planning Prepare engineering calculations, technical documentation, design recommendations, and executive-level presentations Develop business cases and investment analyses to support operational and automation initiatives Client Engagement and Project Leadership Serve as the primary day-to-day client lead for assigned engineering workstreams Build and maintain strong relationships with client stakeholders across operational, managerial, and executive levels Facilitate workshops, design reviews, project meetings, and stakeholder discussions Translate operational challenges into practical and executable engineering solutions Present findings, recommendations, and project updates to client leadership teams Manage project scope, schedules, deliverables, and priorities for assigned workstreams Identify project risks, develop mitigation strategies, and proactively address client concerns Support successful project delivery while maintaining high levels of client satisfaction Solution Development and Implementation Support Analyze warehouse, distribution, manufacturing, and material flow operations to identify capacity, productivity, and performance improvement opportunities Develop facility layouts, material flow concepts, process designs, equipment requirements, and automation solutions Evaluate material handling and warehouse automation technologies, including conveyors, sortation, AS/RS, AMRs, AGVs, storage systems, and related technologies Support equipment and automation vendor evaluations, solution comparisons, RFPs, and procurement activities Perform throughput, capacity, labor, and operational analyses to support engineering recommendations Contribute to distribution center design, facility planning, network optimization, transportation, and broader supply chain strategy initiatives Support implementation activities including detailed design reviews, commissioning, testing, operational readiness, and go-live Develop recommendations that balance operational performance, capital investment, flexibility, and long-term scalability Team Leadership and Practice Development Provide technical leadership, coaching, and mentorship to Consultants and Analysts Review project deliverables and support quality assurance efforts across engineering engagements Contribute to proposal development, client presentations, and business development initiatives Identify follow-on opportunities within existing client relationships and support account growth activities Contribute to thought leadership, internal knowledge sharing, and practice development initiatives Qualifications Bachelor's degree in Industrial Engineering, Mechanical Engineering, Supply Chain Engineering, Logistics, or a related field 5-10 years of experience in supply chain engineering, distribution, material handling, automation, manufacturing, or consulting Experience designing or improving warehouses, distribution centers, or material handling operations Experience evaluating or implementing warehouse automation and material handling solutions Strong analytical, problem-solving, client-facing, and project management skills Proficiency with Microsoft Excel and engineering analysis tools Willingness to travel up to 40-60% Preferred Consulting or professional services experience Experience with AutoCAD, AnyLogic, FlexSim, or similar tools Knowledge of WMS, WES, WCS, and warehouse automation technologies Experience with equipment/vendor selection, commissioning, or implementation Lean, Six Sigma, PMP, PE, or other relevant certifications PI8e9edc6cc5-