29 jobs found

This job is with Ferguson, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Posting: Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers' complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in. IT Manager - Business Systems Analysis Join our IT Boundary Applications & Analytics team as an IT Manager - Business Systems Analysis and lead a talented team of Business Systems Analysts who help turn complex business needs into effective technology solutions. You'll develop and empower your team, strengthen BSA practices, and partner across Business and IT to support critical applications, modernization efforts, and strategic technology initiatives that move the business forward. Location: This is a Hybrid role based out of our HQ location in Newport News, VA, in accordance with our Flex schedule; 3 days office / 2 days remote. Duties and Responsibilities: Lead, coach, and develop Business Systems Analysts; set expectations, allocate work, provide feedback, and build capability across requirements, process analysis, facilitation, and business customer management. Manage delivery of the IT strategy and roadmap for the BSA function, providing vision and guidance aligned with business goals, demand priorities, and technology strategy. Guide the development and standardization of business analysis processes, policies, templates, quality standards, governance practices, and performance metrics. Ensure consistent elicitation, analysis, documentation, communication, validation, and approval of functional and non-functional requirements. Partner with business and IT leaders to understand strategic objectives, assess demand, prioritize initiatives, define timelines, and resolve dependencies and risks. Oversee analysis of business processes, user needs, costs, benefits, system requirements, organizational impacts, and solution alternatives. Optimize the design, development, operation, and support of IT systems by ensuring requirements are complete, traceable, feasible, and aligned with business outcomes. Lead customer workshops and multi-functional discussions to clarify needs, evaluate trade-offs, gain alignment, and support sound decisions. Oversee change-impact analysis, system demonstrations, training support, implementation readiness, and escalated production issue analysis. Organize technical and business reports, portfolio metrics, recommendations, and status updates for management and key team members. Promote effective collaboration among Business, Product, Architecture, Engineering, Quality, Operations, Security, Data, and project teams. Adhere to Company compliance and Health, Safety and Environment (HSE) policies, procedures, and requirements. Maintain regular and reliable attendance. Perform other duties as assigned. Qualifications and Requirements: 7+ years of progressive business analysis, systems analysis, product delivery, or related technology experience, including leadership of people, teams, or complex analysis work. Bachelor degree in Information Systems, Computer Science, Business, Engineering, or a related field, or equivalent relevant experience. Experience leading requirements elicitation, process analysis, solution evaluation, impact assessment, documentation, and stakeholder approval across sophisticated initiatives. Solid understanding of business analysis practices, software development lifecycle methodologies, demand management, testing, implementation, and production support. Experience establishing standards, improving processes, managing priorities, and using metrics to improve analysis quality and delivery outcomes. Demonstrated ability to coach and develop analysts and communicate effectively with technical and non-technical audiences at all organizational levels. Strong leadership, facilitation, analytical, problem-solving, presentation, documentation, and multi-functional collaboration skills. Experience managing a Business Systems Analysis, Business Analysis, or related technology function in an enterprise environment. Experience with application modernization, process transformation, portfolio planning, or large-scale technology initiatives. Experience with business process modeling, requirements-management tools, Agile product delivery, and data-informed performance metrics. Relevant business analysis, product, Agile, project management, technology, or leadership certification. At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more! - Pay Range: - $7,568.91 - $13,247.76 - Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles. - This role is Bonus or Incentive Plan eligible. - Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements. - The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability. Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. Equal Employment Opportunity and Reasonable Accommodation Information

Job Description Must be US Citizen or Green Card as slient is unable to sponsor H1B or other work Visas. Job Title - Forward Deployed Engineer (LEAD AI ENGINEER with capital markets) Location - New York, NY ( 4 days onsite with the client, 1 day remote) Duration - 12+ Months The Work : You'd embed with a hedge fund or investment management firm 4 days a week as the technical lead on the deployment. Your job is to customize our products to fit their environment and ship the workflows they use every day, from backend integrations to the interfaces users touch. Some of our products drop in cleanly. Others need real engineering to fit the client's setup. Your judgment decides the mix. You stay with one deployment long enough to see the work mature. You're not rotating through customer logos and you're not handing off to a platform team. The feedback loop is short. You'll see what works and what doesn't from the people who actually use the system, not from a roadmap committee three quarters out. FDE work is heavy on building. Most weeks land around 80 percent building, including the planning and decision-making that are now part of how modern AI software gets made. The rest is working across the client firm with portfolio managers, analysts, traders, ops, compliance, and tech leadership. You Should Have 5+ years of production software engineering. You've built systems that businesses run on every day, and you can walk us through the architecture decisions, the failure modes you hit at scale, and how you fixed them. Full-stack delivery. Strong Python and TypeScript, with React experience on the user-facing side. Our deployments end in interfaces that portfolio managers and analysts use daily, and you own that last mile. Engineering process discipline. You design APIs and integrations that production systems depend on, and you bring SDLC rigor with you: code review, testing, versioned releases, documented decisions. Hands-on production AI work: agents, retrieval, evaluation suites, human-in-the-loop review. You've shipped LLM-powered workflows to real users and iterated on how they failed. We care more about what you've shipped than the calendar. You know real-world RAG is more about chunking, reranking, and grounding evaluation than picking a vector DB. You've made the call between off-the-shelf agent frameworks and custom orchestration, and you can defend the choice. Track record of owning a bounded client engagement from kickoff to production within 90 to 180 days, including scope negotiation, written milestone delivery, and stakeholder management across business, operations, and compliance. Shipped in a regulated or operationally complex environment where audit trails, evidence, and human-in-the-loop governance are first-class requirements, not afterthoughts. Comfort being measured on deployment outcomes: time-to-first-value, production reliability, user activation, and whether the client will take a reference call. The disposition to own a customer-facing deployment end to end. On Domain Experience - Financial services experience is not required, but it's preferred. If you haven't worked in this domain before, show us you've learned a complex one quickly and we'll take that seriously. It Helps If You Are currently somewhere a portfolio manager would recognize. Hedge fund, alternative asset manager, major investment bank, or AI-for-finance startup. Have been the embedded engineer at a prior enterprise software company. FDE, solutions engineer, deployed engineer, whatever the title was. Build with AI on the side. Side projects, open source, agent experiments you've actually put into the world. Have worked in a highly regulated or operationally complex environment.

Job Description Job Description: Agentic AI Engineer Experience: (8-10) + Years Location: Fort Mill, SC Annual Salary: $120K Per Annum Job Summary We are seeking an experienced Agentic AI Engineer with 10+ years of experience in software engineering, AI/ML, and enterprise application development to design, develop, and deploy intelligent AI agents for wealth management applications. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and enterprise AI integration. This role requires hands-on experience building production-grade AI solutions that can reason, plan, use tools, retrieve information, and execute business workflows with appropriate human oversight. Experience in wealth management, financial services, investment management, portfolio analytics, or financial advisory platforms is highly preferred. Key Responsibilities Design, develop, and deploy production-ready Agentic AI solutions for wealth management and financial services applications. Build autonomous and semi-autonomous AI agents capable of planning tasks, reasoning, invoking tools, and executing multi-step workflows. Develop multi-agent systems using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies. Design and implement LLM-powered applications using models from OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar platforms. Develop and optimize RAG pipelines, including document ingestion, chunking, embeddings, semantic search, reranking, and context retrieval. Integrate AI agents with enterprise systems, REST APIs, databases, knowledge repositories, and financial data platforms. Implement tool/function calling, structured outputs, workflow orchestration, memory management, and stateful agent execution. Build solutions for wealth management use cases, including portfolio research, advisor assistance, investment document analysis, client servicing, financial insights, and knowledge retrieval. Implement responsible AI practices, including guardrails, prompt-injection protection, access controls, PII protection, auditability, and human-in-the-loop approvals. Evaluate AI solutions for accuracy, groundedness, latency, reliability, cost, and business effectiveness. Deploy, monitor, and maintain AI applications using CI/CD, containerization, cloud services, logging, and observability tools. Collaborate with product managers, architects, data engineers, business analysts, and compliance teams to translate business requirements into scalable AI solutions. Mentor engineers, establish engineering best practices, and provide technical leadership across AI initiatives. Required Technical Skills 1. Programming and Software Engineering Strong hands-on experience with Python and object-oriented programming. Expertise in REST APIs, microservices, asynchronous processing, and enterprise application integration. Proficiency with Git, automated testing, debugging, and software engineering best practices. 2. Agentic AI and LLMs Hands-on experience designing and implementing AI agents and multi-agent workflows. Strong understanding of LLM architecture, prompt engineering, context management, and model selection. Experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen. Experience implementing tool calling, function calling, planning, state management, retries, and error handling. Understanding of agent autonomy, workflow determinism, and human-in-the-loop controls. 3. RAG and Knowledge Retrieval Experience building enterprise-grade RAG applications and document intelligence solutions. Knowledge of embedding models, vector search, hybrid search, reranking, and retrieval optimization. Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS. Familiarity with Elasticsearch/OpenSearch and traditional relational or NoSQL databases. 4. Cloud and AI Deployment Experience deploying AI applications on AWS, Azure, or GCP. Familiarity with services such as AWS Bedrock, Azure OpenAI, or equivalent managed AI platforms. Experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring. Understanding of scalability, performance optimization, model serving, and LLM cost management. 5. AI Quality, Security, and Governance Experience implementing LLM evaluation, hallucination mitigation, grounded responses, and AI guardrails. Knowledge of responsible AI, data privacy, secure API integration, and enterprise access controls. Understanding of observability, tracing, prompt/version management, and production incident troubleshooting. Wealth Management Domain Experience Experience working in wealth management, financial services, investment management, banking, or fintech. Understanding of portfolio management, asset allocation, investment research, financial advisors, and client servicing workflows. Familiarity with financial statements, investment reports, market data, and financial research documents. Ability to develop AI solutions that support advisors and operations teams while maintaining data confidentiality, traceability, and compliance requirements. Experience with regulated financial environments and human approval workflows for sensitive or consequential actions is a strong plus. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. 10+ years of overall software engineering experience, with substantial hands-on experience in AI/ML, LLM applications, or Generative AI. Demonstrated experience delivering AI solutions from proof of concept through production deployment. Strong analytical, problem-solving, communication, and stakeholder-management skills. Experience leading technical design discussions and mentoring engineering teams. Important: Candidates should demonstrate hands-on implementation of production-grade Agentic AI solutions, not just chatbot development, prompt engineering, or proof-of-concept projects.

Job Description About Quantiphi: Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We've been recognized with: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page. Preferred Location: Charlotte, NC Experience Level: 10+ Years of Experience Role purpose: Design, develop and harden a Universal Gateway that connects conversational AI agents to enterprise applications. The Gateway will manage conversation state, enforce business rules, execute authorized backend operations and return the data and guidance needed by the conversational agent. Key responsibilities: Design and implement Gateway APIs used by Google CXAS agents, including session initialization, journey resolution, state transitions and business-operation execution. Implement an external state engine covering current journey, active state, required information, pending actions, customer confirmation and completion status. Define versioned journey configurations, transition rules, policies and state-specific response guidance. Ensure the Gateway validates actions proposed by an agent against current state, identity, authorization and business rules. Develop adapters for customer backend systems using approved API contracts. Implement timeouts, retries, idempotency, concurrency controls and recovery from partial failures. Persist session state and audit records with appropriate isolation, retention and protection of customer data. Implement authentication, authorization, secrets management and service-to-service security. Provide correlated traces showing the incoming request, policy decision, state before and after, backend operation and response. Integrate automated tests and AgentCert evidence into the development workflow. Package and deploy services to the agreed Google Cloud environment, including Cloud Run where selected. Produce API documentation, architecture decisions, operational runbooks and handover material. Required skills: Strong production backend development experience in Python, Java preferably FastAPI or an equivalent framework. REST APIs, OpenAPI specifications, JSON Schema and typed request/response validation. Practical experience implementing workflow engines, finite-state machines or business-process orchestration. Distributed systems concepts: Concurrency, retries, timeouts and transaction boundaries. Experience with persistent data stores and session management. Google Cloud delivery experience, including IAM, containerized services, logging, monitoring and secrets management. Enterprise API integration and automated unit, integration and contract testing. Understanding of LLM tool calling and the distinction between model-generated intent and authorized business execution. Git, code reviews and CI/CD. Preferred skills: Telecom billing & background, customer service or service-restoration processes. Integration with Google CXAS or another conversational AI platform. Agent evaluation, failure injection, load testing and observability. Experience replacing synthetic adapters with enterprise backend integrations. What is in it for you: Be part of the fastest-growing AI-first digital transformation and engineering company in the world Be a leader of an energetic team of highly dynamic and talented individuals Exposure to working with fortune 500 companies and innovative market disruptors Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

Position Title: Business Systems Manager Location: Chicopee, MA Pay Range: $65000.00 - $75000.00 Salary Interval: Full Time Salary Application Instructions Acknowledgment of Receipt: You will receive a confirmation email within the next 24 hours verifying that we have received your application. If you do not receive this confirmation, please check your spam or junk folder, or contact our office for assistance. Additional Information: Should we need any additional details or clarification regarding your application, our team will reach out to you directly via email or phone. Interview Scheduling: If your application progresses to the next stage, you will be invited for an interview. Please monitor your email for an invitation with scheduling options and further instructions. Status Updates: We will notify you via email regarding important updates and decisions. Questions or Assistance: If you have any questions or require assistance at any point during the application process, please do not hesitate to contact our team at . We are committed to making your application experience as clear and user-friendly as possible. Thank you again for your interest, and we look forward to reviewing your materials. Position Description Division: Ondrick Materials & Recycling, LLC Role Summary The Business Systems Manager is a hands-on position that owns the company's systems architecture and handles the selection, implementation, and ongoing administration of the business applications that run a multi-entity construction, manufacturing, and retail business. Reporting to the CFO, this role will own a multi-year roadmap to replace and connect the operational systems used across Contracting, Trucking, Maintenance, Operations, and Finance, and will serve as the primary point of contact between the business, our outsourced IT provider, and our software vendors. The ideal candidate is part project manager, part business analyst, and part systems administrator: someone who can document how work actually flows, translate that into requirements, run a disciplined implementation, and keep integrated systems and data moving reliably once they are live. Infrastructure, network, end-user hardware, and helpdesk support are provided by our outsourced IT provider; this role owns the business applications, integrations, and data architecture that run the company. Position Requirements Key Responsibilities Own the company's systems architecture and roadmap, including the implementation approach and standards for how systems integrate and how APIs are managed. Build and manage a detailed implementation plan for each system, including scope, timeline, resources, and dependencies. Plan, organize, and lead meetings among internal teams, vendors, and other partners to keep projects on track. Document operational processes as they exist today, how they should flow, and the end state with the new tool in place. Research and evaluate software solutions to replace targeted legacy tools, including requirements gathering, vendor demos, and selection recommendations. Serve as the primary liaison to our outsourced IT provider on technical issues related to the business applications we implement. Serve as the primary point of contact with software providers to resolve technical product issues on behalf of internal users. Administer all new systems, partnering with business leads on new user setup, access, and security. Test interfaces and data flows between systems and reconcile variances. Lead the user acceptance testing (UAT) process in partnership with vendors and business leads. Develop and maintain documentation, including SOPs, quick reference guides, interface specifications, data structures, and a data dictionary. Monitor integrations daily to ensure data is moving between systems as intended, reconciling and correcting as appropriate. Triage and resolve integration issues as they arise. Over time, own the intake and prioritization of requests to add data sources and reporting to the company's data warehouse. Multi-Year Initiatives Simplify field time entry across tools Fleet management solution for the trucking operations Select and implement an equipment maintenance management solution for the shop Support the implementation of software for Construction project tracking Replace ticketing software at the Scale Replace or augment a retail point of sale system Implement a workflow solution for customer credit applications Replace paper driver logs with an electronic alternative Implement a CRM for the Estimating team to track bids won and lost Migrate the company file server to SharePoint and be admin Design and implement a company-wide data warehouse once core operating systems are established within each functional area Required Qualifications Bachelor's degree in Information Systems, Computer Science, Business, related field, or equivalent experience. 7+ years of experience implementing or administering business applications, with at least 3 years leading multi-system implementation projects. Demonstrated success running software selections and implementations end to end, including requirements, vendor evaluation, configuration, testing, UAT, training, and go-live. Working knowledge of APIs, system integrations, and relational databases, including SQL. Strong process mapping and documentation skills; able to translate operational needs into system requirements. Experience managing outsourced IT providers and software vendors. Demonstrated success in building cross-functional relationships with both field and office teams. Self-starter, problem-solver, highly organized, and comfortable with ambiguity. Preferred Qualifications Direct experience with Trimble Viewpoint Vista or a comparable construction or manufacturing ERP. Background in construction, paving, aggregates, trucking, or heavy equipment businesses. Experience with construction and fleet systems such as B2W, telematics and fleet management, shop maintenance, scale ticketing, or electronic logging tools. Experience with Microsoft 365 administration, including SharePoint migrations. Experience designing or managing a data warehouse and business intelligence reporting. Project management certification (PMP or similar) a plus. Interest in implementing AI tools to automate workflows and improve back-office efficiency. What Success Looks Like First 90 days: document current-state workflows and the systems landscape, establish working relationships with our outsourced IT provider, key vendors, and management team. Deliver a prioritized, sequenced implementation roadmap for the initiatives above. First year: eliminate dual time entry, complete selection and begin implementation of fleet and shop maintenance systems, have all live integrations monitored daily with documented SOPs, and be the go-to resource for system issues across the business. Equal Opportunity Employer Ted Ondrick Materials Group 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. Position Requirements Key Responsibilities Own the company's systems architecture and roadmap, including the implementation approach and standards for how systems integrate and how APIs are managed. Build and manage a detailed implementation plan for each system, including scope, timeline, resources, and dependencies. Plan, organize, and lead meetings among internal teams, vendors, and other partners to keep projects on track. Document operational processes as they exist today, how they should flow, and the end state with the new tool in place. Research and evaluate software solutions to replace targeted legacy tools, including requirements gathering, vendor demos, and selection recommendations. Serve as the primary liaison to our outsourced IT provider on technical issues related to the business applications we implement. Serve as the primary point of contact with software providers to resolve technical product issues on behalf of internal users. Administer all new systems, partnering with business leads on new user setup, access, and security. Test interfaces and data flows between systems and reconcile variances. Lead the user acceptance testing (UAT) process in partnership with vendors and business leads. Develop and maintain documentation, including SOPs, quick reference guides, interface specifications, data structures, and a data dictionary. Monitor integrations daily to ensure data is moving between systems as intended, reconciling and correcting as appropriate. Triage and resolve integration issues as they arise. Over time . click apply for full job details

DTS is looking for Business Analyst (Procurement / Vendor Management) for our client position based in Detroit, MI Description: Engagement Description - Support the Vendor Management (VM) team as Enterprise Procurement progresses from 2026 capability building into the 2027 Procurement Transformation roadmap. The contractor will help convert current-state VM processes, data, controls, reporting, automation, and AI-enabled use cases into documented requirements and implementation-ready artifacts for the future operating model. Act as a hands-on bridge across Vendor Management, Procurement business stakeholders, analytics, technology, and change activities. The resource should move between business analysis, process redesign, data/reporting, UAT, documentation, training, and practical AI/automation use cases rather than operate as a narrowly focused developer. Expected work includes current/future-state process mapping; requirements and user stories; gap/root-cause analysis; control and risk documentation; data/KPI analysis; Power BI/Excel reporting; system/workflow requirements; test scenarios/UAT coordination; SOPs/job aids; training/knowledge transfer; and evaluation of responsible AI or automation opportunities. Success is defined by high-quality, reusable artifacts that accelerate transformation while preserving controls, data quality, stakeholder alignment, and knowledge transfer to the internal VM team. Top 3 Required Skills/Experience - • 5+ years of business/systems analysis or process transformation experience, including requirements gathering, current/future-state process mapping, root-cause analysis, process redesign, technical documentation, UAT, and cross-functional implementation support for complex business processes. • 3+ years of procurement, vendor/supplier management, source-to-pay, contract lifecycle, or adjacent supply-chain experience. Strong preference for hands-on Oracle Cloud Procurement and/or CLM/vendor management platform experience and ability to translate VM needs into system and data requirements. • Demonstrated analytics and AI-enabled process improvement capability: advanced Excel plus Power BI or Tableau, KPI/reporting analysis, and practical use of enterprise generative AI tools such as Microsoft Copilot, ChatGPT, Claude, or Gemini with appropriate human review and data/privacy controls. Required Skills/Experience - The rest of the required skills/experience. Include: • Facilitate stakeholder interviews/workshops and convert needs into functional requirements, process maps, acceptance criteria, decision logs, RACI inputs, and implementation documentation. • Support technology/transformation initiatives through design, integration/deployment readiness, testing, defect triage, UAT, change management, and post-implementation knowledge transfer. • Strong process optimization skills: root-cause analysis, control-point identification, exception/handoff analysis, and measurable improvement recommendations. • Working knowledge of supplier lifecycle activities including onboarding, risk/compliance, contract administration, supplier performance, data maintenance, monitoring, and issue resolution. • Oracle Cloud or comparable enterprise procurement/ERP experience; understand dependencies across procurement, contracts, master data, requisition-to-pay, and reporting. • Contract lifecycle management concepts/tools; document business rules, metadata, workflow requirements, alerts, approvals, and reporting needs. • Advanced Excel and working proficiency in Power BI or Tableau; profile data, analyze trends, validate data quality, develop/refine KPIs, and translate analysis into recommendations. • Practical generative AI and AI-enabled workflow experience, including validation, human-in-the-loop review, confidentiality, privacy, and responsible-use considerations. • Assess risk and controls in redesigned/automated processes, including data privacy, cybersecurity, auditability, segregation of duties, and approval controls. • Excellent written/verbal communication; produce executive summaries plus detailed SOPs, requirements, test scripts, job aids, and training materials. • Work independently in ambiguity, manage multiple priorities, surface risks early, and collaborate with business SMEs, technology teams, suppliers, and leaders. • Working understanding of cloud/SaaS concepts and integrations; deep cloud engineering expertise is not required. Preferred Skills/Experience - Optional but preferred skills/experience. Include: • Healthcare payer, health insurance, or another highly regulated industry. • AI/ML or generative-AI implementation in procurement, operations, contracting, supplier management, analytics, or knowledge management. • Microsoft Power Platform (Power Automate/Power Apps) and/or UiPath/RPA. • Modern procurement platforms such as Zip, Ironclad, Beeline, or comparable intake/orchestration, CLM, and contingent-labor solutions. • Supplier-performance, operational KPI, procurement, contract, or risk dashboards in Power BI. • Lean, Six Sigma, BPMN, SIPOC, Agile, Prosci/ADKAR, or equivalent process/change experience. • Procurement master data, supplier analytics, contract analytics, data governance, and data-quality controls. • Training development, working-session facilitation, and knowledge transfer to business users.

Pay Range: $47.00hr - $52.00hr Job Overview: The Automation Analyst is responsible for supporting the end-to-end lifecycle of enterprise automation initiatives as a subject matter expert for the automation solution, from initial project intake and business process Client through requirements definition, development coordination, testing, implementation, and operational handoff. The Automation Analyst is responsible for understanding business processes and objectives, translating stakeholder needs into clear and actionable requirements, identifying process and data dependencies, and ensuring development teams have the information necessary to design and deliver effective automation solutions. The role also serves as the primary liaison between business stakeholders, automation development teams, technical teams, project leadership, and support organizations by becoming a subject matter expert of the automation's capabilities and value to the business. The Automation Analyst will manage multiple automation initiatives concurrently and is expected to proactively drive requirements, stakeholder decisions, documentation, testing readiness, and delivery dependencies rather than functioning solely as a documentation resource. The successful candidate will demonstrate strong business analysis, process improvement, stakeholder management, facilitation, data analysis, testing, and delivery coordination capabilities. Automation Intake & Opportunity Assessment: Coordinate intake of new automation opportunities with business and technology stakeholders. Facilitate Client sessions to understand the business problem, current process, expected outcomes, scope, stakeholders, and dependencies. Evaluate business processes to determine automation readiness and identify process gaps requiring clarification or redesign. Document current-state and future-state processes, including but not limited to workflow diagrams, data flow diagrams, and step-by-step procedure documentation. Identify process volumes, transaction characteristics, exception scenarios, manual effort, error rates, and other information required to support automation evaluation. Assist with quantifying expected automation benefits, including efficiency, capacity, quality, accuracy, risk reduction, and other measurable business outcomes. Identify systems, applications, data sources, interfaces, access requirements, and technology dependencies during intake. Identify assumptions, constraints, risks, and unresolved questions early in the lifecycle. Support estimation activities by ensuring technical teams receive complete business and process information. Requirements Gathering & Process Documentation: Lead requirements elicitation sessions with business stakeholders, subject matter experts, developers, architects, and other technical teams. Elicit, analyze, document, and validate business, user, functional, and non-functional requirements. Develop detailed Process Definition Documents (PDDs) and other required business/process documentation. Document current-state and future-state workflows, business rules, decision points, process exceptions, data inputs and outputs, system interactions, user roles, volumes and frequency, dependencies, error and exception handling, and acceptance criteria. Develop process maps, workflow diagrams, use cases, user stories, and supporting documentation as appropriate. Establish and enforce traceability between business requirements, solution functionality, testing, and acceptance criteria. Obtain and document stakeholder validation and approval of requirements before development proceeds. Maintain requirements and process documentation as scope or business processes change. Stakeholder Management & Facilitation: Serve as a primary point of coordination between business stakeholders and automation delivery teams. Establish productive working relationships with business, operational, technical, and project stakeholders. Facilitate requirements workshops, process walkthroughs, solution reviews, testing discussions, and stakeholder decision sessions. Proactively follow up on open requirements, decisions, dependencies, and action items via messaging and meetings. Communicate project status, requirements gaps, risks, dependencies, and decisions clearly to stakeholders. Manage stakeholder expectations regarding scope, requirements, timelines, and delivery dependencies. Identify conflicting stakeholder requirements and facilitate resolution. Escalate unresolved decisions or dependencies that could affect delivery commitments. Ensure appropriate stakeholders remain engaged throughout the automation lifecycle. Development Team Coordination: Serve as the functional bridge between business stakeholders and automation developers. Conduct requirements and process walkthroughs with development teams. Lead backlog refinement sessions with developers to ensure they have sufficient business context and detailed requirements before development begins. Respond to functional questions and coordinate business clarification during development. Work with developers and solution architects to identify requirement gaps, technical constraints, and solution dependencies. Coordinate stakeholder decisions when technical findings require changes to requirements or process design. Participate in sprint planning, solution design sessions, and other delivery activities as required. Identify and communicate scope changes that could affect estimates, timelines, resources, or solution design using a standardized change management template. QA Testing & Business Validation: Review QA test scenarios to ensure alignment to approved requirements and acceptance criteria, including but not limited to business rules, exceptions, negative scenarios, and critical edge cases. Review QA execution results, including defects for accuracy against the requirements. Support development and QA teams with functional validation during system and integration testing. Coordinate User Acceptance Testing (UAT) with business stakeholders. Ensure appropriate test data, environments, access, and stakeholder participation are available for testing. Track defects, questions from QA testers, and required requirements corrections through resolution. Coordinate business approval/sign-off prior to production implementation. Document and publish evidence of testing and business acceptance to technical and business stakeholders. Implementation & Operational Handoff: Support implementation planning and production-readiness activities. Ensure requirements, testing, stakeholder approvals, and documentation are complete before implementation. Develop or coordinate operational documentation required for production support. Facilitate knowledge-transfer sessions with operational/support teams. Ensure operations support teams understand automation purpose and business process, expected processing, business and system dependencies, common exceptions, escalation paths, business contacts, and known limitations. Support post-production validation and stabilization activities. Ensure open issues are documented and transitioned appropriately before project closure. Facilitate formal handoff from project delivery to the appropriate operational support organization. Data Analysis & Reporting: Analyze operational and process data to support automation opportunity assessment and requirements development. Define detailed data dictionary, data mapping, data relationship diagram or similar artifacts to support requirement elicitation and approval. Establish baseline measures before automation implementation where appropriate. Analyze process volumes, cycle times, exception rates, error rates, and other relevant metrics. Use data to identify process variations and automation opportunities. Discover and recommend measurable success criteria and KPIs for automation initiatives as appropriate. Compare post-implementation results against expected business outcomes when requested. Elicit reporting dashboard requirements that communicates KPIs to business and technology stakeholders. Required Qualifications: 5+ years of experience in business analysis, systems analysis, automation analysis, process analysis, technology delivery, or a related role. Demonstrated experience leading requirements gathering for complex technology or automation initiatives. Strong experience documenting business, functional, and non-functional requirements. Experience developing process maps, workflow documentation, business rules, user stories, use cases, and acceptance criteria. Experience coordinating requirements between business stakeholders and software development or automation engineering teams. Experience with software development lifecycle (SDLC) and Agile delivery methodologies. Experience developing and executing functional/UAT testing processes. Experience coordinating production implementation and operational handoff. Strong analytical and problem-solving capabilities. Demonstrated ability to manage multiple projects, stakeholders, priorities, and deadlines concurrently. Excellent communication and presentation skills. Ability to work independently and proactively drive activities to completion. Preferred Qualifications: Experience supporting enterprise automation, workflow automation, RPA, AI-enabled automation, or process transformation initiatives. Experience working within healthcare or another highly regulated environment. Experience supporting clinical, operational, financial, or enterprise healthcare processes. Experience with process improvement or Lean/Six Sigma methodologies. Experience using Agile delivery and work-management tools such as Azure DevOps, Jira, or equivalent. Experience with data analysis and reporting tools. SQL, Power BI and GCP BigQuery preferred. Understanding of enterprise systems, APIs, integrations, databases . click apply for full job details

We are seeking a highly motivated and experienced AI Consultant with a proven background in AI adoption to join our AI Center of Excellence (AI COE). This position is ideal for a senior, hands-on candidate who advises customers on how to apply AI to their business, turns that advice into working results, and reports to the AI COE Lead. The role supports Client business domains, primarily in an advisory capacity, across Security (enterprise security and cybersecurity), Manufacturing, Infrastructure (build and operations), and Connected Services, with Security having the highest demand for support, followed by Manufacturing. The successful candidate will use a strong technical background to run proofs of concept (POCs) and product evaluations hands-on, and translate the results into clear recommendations, while project delivery remains owned by the Delivery Teams. Essential Functions: Description / Essential Functions: AI Advisory Advise customers and domain teams on AI adoption, from identifying and prioritizing use cases to defining roadmaps, governance and success measures. Analyze customer business processes end to end, identify where AI and automation deliver measurable value, and build the business case (ROI, cost/benefit). Lead workshops and executive briefings, and present recommendations to senior customer stakeholders. Advise on responsible and secure AI adoption, including data protection, access control and AI-specific risks such as prompt injection and data leakage. Domain Support Security (highest demand): Prioritize AI adoption for patch management and system hardening, while also advancing AI-assisted security operations such as playbook automation, incident response and investigation. Manufacturing: Shape AI use cases around factory production processes and IoT/OT data, such as predictive maintenance, quality inspection and anomaly detection. Infrastructure: Support AI use cases in infrastructure build and operations as demand arises. Connected Services: Support AI use cases in connected services as demand arises. Hands-on POC and Product Evaluation Plan, build and run POCs, including scope, success criteria, test scenarios and evaluation reports. Lead hands-on evaluations of AI and automation products and platforms (for example, Tines for security workflow automation and Ignition for industrial/OT data), and deliver objective fit/gap findings and go/no-go recommendations. Design solution architectures for AI, GenAI and AI Agent solutions on Microsoft Azure or AWS, and provide technical input to proposals, POC plans and SoWs. Knowledge Assets and Partners Capture reusable assets such as use cases, reference architectures, evaluation reports, and demo/POC materials for horizontal deployment across domains and customers. Coordinate with external partners (cloud providers, AI and security vendors, system integrators) on joint demos, POCs and validations. Requirements Minimum qualification: Required Education & Experience: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. 8+ years of experience in IT consulting, solution architecture, or related technical roles, including at least 3 years of hands-on experience delivering AI, GenAI or intelligent automation solutions in production or customer POCs. Proven experience advising customers on AI adoption (use case identification, business case, roadmap and governance), credible with both business and executive stakeholders. Strong hands-on technical skills in GenAI and AI Agent technologies (for example, LLMs, RAG, prompt engineering, agent orchestration, Power Platform/Copilot Studio) and in cloud AI services on Microsoft Azure or AWS. Proven track record of running POCs and product evaluations hands-on, from planning through final recommendation. Experience applying technology or AI in at least one of Client focus domains, with enterprise security or cybersecurity strongly preferred and manufacturing as the next priority. Business-analyst capability: experience mapping end-to-end business processes and identifying where AI and automation pay off. Excellent communication, facilitation and presentation skills, and the ability to work independently in cross-functional, multicultural teams. (Candidate would be disqualified if they do not meet these requirements) Preferred Qualifications: Security domain experience, such as SOC operations, incident response, SIEM/XDR (for example, Microsoft Sentinel, Microsoft Defender or Splunk) and SOAR or security automation platforms such as Tines. Manufacturing domain experience, such as factory production processes (production, quality, maintenance, MES), IoT/OT data, and platforms such as Ignition or SCADA. Experience in infrastructure build and operations. Experience with connected services. Experience with AI Agent frameworks and protocols (for example, Semantic Kernel, LangChain/LangGraph, AutoGen or MCP) and AI platforms such as Azure AI Foundry, Azure OpenAI or Amazon Bedrock. Experience applying AI across the software development lifecycle (SDLC), including Requirements, Architecture, Story Creation, Development, and QEA Execution. Relevant certifications, such as Microsoft Azure AI Engineer, AWS Certified Machine Learning Engineer, AWS Certified Generative AI Developer, AWS Certified Data Engineer, CompTIA Security+, CISSP or CBAP. Experience working with Japanese companies or in a global, bilingual environment. Position Type/Expected Hours of Work: Hybrid work environment (2 days per week in the office). Contract-to-hire position. Occasional evening and weekend work may be required as job duties demand. Working hours are Monday Friday from 9AM 6PM. Travel: This position requires up to 10-20% travel.

Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 3+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5 years of full Software Development Life Cycle (SDLC) experience Prior experience designing and building agentic systems Prior experience developing and implementing AI solutions using Large-Language Models (LLMs) Airline or transport industry experience is a plus Skills, Licenses & Certifications Practical understanding of transformer architectures and how modern LLMs work Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool-calling patterns, or equivalent internal frameworks Proficiency in prompt engineering: systematic prompt design, few-shot learning, chain-of-thought, and prompt optimization for foundation models Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG architecture patterns Experience with LLM evaluation methods, including LLM-as-a-judge, automated benchmarking, and regression testing for model outputs Proficiency in post-deployment model maintenance, including observability, monitoring, cost optimization, and drift detection Experience developing and implementing governance frameworks and controls for responsible AI Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) is a plus Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics Strong proficiency in Python; working knowledge of Java or another enterprise language Proficiency in object-oriented design techniques and principles Experience with cloud platforms (Azure, AWS, or GCP) and cloud-native development patterns Experience with CI/CD pipelines and DevOps toolchain: Git, GitHub, Jenkins, ADO Pipelines, or equivalent Experience with RESTful API design and integration patterns (JSON, microservices) Experience in Agile methodologies, such as SCRUM What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.

Job Description Job Description Genesis10 is currently seeking a Senior AI Engineer (Generative AI & Agentic Systems) for a contract position with a Global Financial Institution located in Pennington, NJ. This is a 12+ month contract opportunity. We are seeking an Advanced Python Engineer with specialized expertise in Generative AI orchestration, multi-agent workflows, and Retrieval-Augmented Generation (RAG) systems. In this role, you will design, build, and scale production-grade LLM applications, leveraging modern agentic frameworks to power intelligent enterprise solutions. Key Responsibilities: Architect and scale advanced Retrieval-Augmented Generation (RAG) pipelines, including custom chunking, hybrid search, embedding optimization, and reranking mechanisms Build complex, stateful multi-agent systems and autonomous workflows using frameworks such as LangGraph and Deepagents Orchestrate and monitor using LangChain for robust LLM integration and LangSmith for tracing, evaluation, debugging, and performance monitoring of production LLM pipelines Write clean, modular, highly efficient, and maintainable Python code adhering to modern standards (asynchronous programming, strict typing, and robust error handling) Connect LLM agents and workflows with external data sources, enterprise APIs, vector databases, and developer tooling Optimize token usage, latency, and operational costs across LLM-driven applications without compromising response quality or accuracy Requirements: Advanced, production-level proficiency in Python (asyncio, design patterns, profiling, and testing) Demonstrated hands-on production experience with one or more of the following: LangChain, LangGraph, LangSmith, Deepagents Deep working knowledge of RAG pipelines, prompt engineering strategies, and integration with vector databases (e.g., Pinecone, Weaviate, Milvus, Qdrant, or pgvector) Familiarity with major LLM providers (OpenAI, Anthropic, open-source models via Hugging Face/Ollama) and function-calling / tool-use architectures Experience with Git, CI/CD pipelines, containerization (Docker), and cloud environments (AWS, GCP, or Azure) Pay range: $55.06 - $63.06 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Summary: Bellingham Technical College (BTC) seeks a 75% (30 hour per week) Senior Research Analyst to lead collaborative assessment of the College's Competency-Based Education (CBE) implementation; help build centralized data dashboards and systems; collect and analyze information on student characteristics, enrollment, retention, and completion; and train BTC employees on using data related to both student/employee experiences with CBE and regional workforce needs. They will support relevant data and research requests, work with other grant team members to track the performance of project objectives, and assist with grant external evaluation processes as appropriate. As a member of BTC's Institutional Planning and Assessment (IPA) department, this position will help advance BTC's culture of inquiry and evidence by providing relevant project data and analyses for use in planning and decision-making. The position is funded through a five-year Title III Strengthening Institutions Program (SIP) grant project, Meeting Workforce Demand Through Competency-Based Education (CBE) . The grant is scheduled to end September 30, 2031; however, grant-funded positions are temporary, dependent upon project funding, and can end at any time funding is discontinued. Salary: $69,750 - 81,000 annually for this 75% position Under the general direction of the Associate Director of Data and Research, the Senior Research Analyst will: Work collaboratively with campus partners to develop an outcomes-based assessment plan, assess the effectiveness of BTC's Competency-Based Education (CBE) implementation (e.g., redesigned instructional model, adjusted student support services, and new faculty training), and identify areas of improvement based on the assessment; Create and/or enhance existing data systems-including data dashboards to track student enrollment, course success, persistence, time-to-completion, and credential attainment-to help employees analyze data related to student and employee engagement with CBE experiences; Design data collection instruments (e.g., activity tracking mechanisms, survey, interview/focus group protocols), conduct interviews/focus group sessions, and administer surveys; Develop a workforce demand data system that integrates existing regional and/or State resources and practices; Develop and provide training to BTC employees related to analyzing regional industry demand data and engaging in data-informed workforce development planning; Respond to and track relevant data and research requests from internal and external audiences; Work with the Title III SIP grant team to track the performance of project objectives and assist with external evaluation processes as appropriate; Contribute to the advancement of BTC's culture of inquiry and evidence by providing relevant project data and analyses for use in planning and decision-making; Operate a variety of research and analytic computer application programs (e.g., SQL Server Management Studio SSMS , PeopleSoft PS Query, Tableau, R Statistical Computing Software, statistical applications of Microsoft Access and Excel); Identify and work with appropriate departments to address issues pertaining to data quality control (e.g., data input accuracy and consistency); Apply legal and ethical components involved in conducting research and analysis (e.g., Family Educational Rights and Privacy Act FERPA , human subjects protection); Present complex information to non-technical audiences; Maintain regular, ongoing communications with Title III SIP grant team members and key Institutional Planning & Assessment department partners across campus; Serve as a member on committees or groups that require data or accountability/performance measures and participate in the activities of the Research and Planning Commission (RPC) of the WA State Board for Community and Technical Colleges (SBCTC); and Perform other duties as assigned. Skills/Abilities: Strong collaborative leadership skills; Skills in research and assessment methodologies and design, including quantitative, qualitative, and mixed methods approaches; Strong organizational and problem-solving; Excellent oral/written communication skills, including ability to write clearly and concisely; Ability to use a variety of technologies to manage, extract, analyze, present, and visualize data; Ability to troubleshoot and quickly identify solutions to data reporting and analysis problems; Ability to learn and apply new technologies and best practices; Ability to work collaboratively with different members of the College-including individuals of varied ethnicities, ages, backgrounds, and abilities-in an inclusive and participatory manner; Ability to maintain confidentiality and adhere to research ethics; Ability to present technical information to non-technical audiences and provide training and technical assistance to adult learners; Ability to work under pressure, work with ambiguity, and prioritize competing demands; Ability to work within a team. Minimum Qualifications: Bachelor's degree from an accredited institution; One year of experience managing, extracting, analyzing, and presenting data; and One year of experience working with structured query language (SQL); OR A combination of experiences and training that provides the applicant with the knowledge, skills, and abilities to perform the job will be considered. Preferred Qualifications: Master's degree or higher from an accredited institution; Experience with quantitative, qualitative, and mixed methods data analysis and assessment including using multiple data resources to support institutional/organizational improvement and data-informed decision-making; Experience with project management and working collaboratively with colleagues; Experience using Microsoft Office applications (Access, Excel, Outlook, PowerPoint, and Word), SQL utilization software (e.g., SSMS), statistical tools (e.g., Python, R, SAS, SPSS), data visualization tools (e.g., Shiny, Tableau), the Oracle PeopleSoft ERP system, qualitative assessment tools (e.g., SurveyMonkey, Microsoft Forms) and/or related data structures and reporting tools; Experience teaching and/or providing training and technical assistance to adult learners; Professional experience in higher education and/or a research setting; Experience with using Washington State Board for Community and Technical Colleges (SBCTC) statewide data management systems, data warehouses, and/or processes related to allocation and funding; Experience with Washington State labor market data; Experience applying best practices in data visualization (e.g., dashboards); Experience with maintaining data confidentiality and security, and adhering to research ethics Compensation, Work Schedule and Benefits: Salary: $69,750 - 81,000 annually for this 75% position Benefits: Leave benefits: 8 hours per month of sick leave 16 hours per month of vacation leave 24 hours of personal leave per calendar year 12 paid state/college holidays per calendar year Benefits also include a Washington State insurance package including selecting one of: 6 medical options 3 dental plan options 3 vision plan options Include: life insurance long-term disability Retirement benefits package including one of: TIAA State Board Retirement Plan (SBRP) Public Employees Retirement System (PERS) Plan 3 Two voluntary investment (not matched) programs TIAA (403b) State Deferred Compensation (457) plan Additional optional benefits include ability to participate in: Medical Flexible Spending plan Limited Purpose Flexible Spending plan Health Savings Account Dependent Care Assistance Discounts for automobile and homeowner insurance Employee Assistance Program (EAP) Up to 21 days of military leave Up to 5 days of paid bereavement leave Paid civil/jury duty Bereavement leave Ability to participate in a shared leave program State Employee Tuition Waiver (when eligible) Application Procedures and Deadline: Required application materials must be completed and submitted online at and received by 5 p.m. on November 30, 2026, for priority consideration. Application materials received after this date and time may be considered until the position is filled. More information about Bellingham Technical College is at or contact the Human Resources office at . At this time, BTC is not sponsoring H-1B Visas. Required Online Application Materials: (Attachments in Word or PDF file only) Completed BTC Online Employment Application including Supplemental Questions, Current resume or curriculum vitae (CV), and Cover letter detailing how you meet the qualifications for this position. Additional Information: Interviews are tentatively scheduled for December 9 th and 10 th , 2026. Candidates selected for interviews may be asked to complete a skills test. Second interviews are tentatively scheduled for December 14-18, 2026. Estimated Start Date: January 16, 2027 Compensation details: 0 Yearly Salary PIf849b913c9c0-2608

Job Description Job Description About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world's leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience's growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review "The Tetra Way," authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. As a Scientific Data Architect supporting our partnership with a top 25 global biopharma manufacturing and quality organization, you will design the scientific data models and use cases that connect manufacturing processes, laboratory results, and product quality across manufacturing sites and external partners. Your work will support investigations, continued process verification (CPV), process improvement, technology transfer, and the application of AI to biologics manufacturing. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Candidates will be asked to review "The Tetra Way" as part of the interview process. Who You Are You combine deep experience in biologics manufacturing and quality control with the technical ability to design, prototype, and implement scientific data solutions. You understand how a manufacturing process generates data, how QC laboratories test for product quality, and how to preserve the relationships between those records. You are comfortable working directly with manufacturing scientists, Manufacturing Sciences and Technology (MSAT), manufacturing IT, QC, Quality Assurance, data engineers, and product teams. You translate their questions into explicit data requirements, reusable models, and applications they can use in daily work. You take ownership from initial site discovery through implementation and adoption. You write code, examine source data, test assumptions with scientific users, and demonstrate working solutions. You have the willingness and ability to travel up to 50% of working time between partner manufacturing sites for discovery, implementation, workshops, training, and adoption support. Requirements What You Have Done What you must bring A minimum of 3-5 years direct experience in biologic drug manufacturing and QC is required, including substantial experience with monoclonal antibodies or other recombinant therapeutic proteins. You have designed data models and delivered analytical or digital use cases using manufacturing and QC data for these modalities. Strong Python and SQL skills, with experience developing parsers, transformations, APIs, and analytical applications using tabular and JSON data. Ability to communicate architecture decisions and scientific findings to laboratory users, manufacturing teams, engineers, and business leaders. Desired: Manufacturing & Quality Relevant life sciences industry experience, with substantial work in biologics manufacturing, process development, MSAT, analytical development, or QC. Demonstrated understanding of upstream and downstream biologics operations, including cell culture, harvest, chromatography, filtration, and drug-substance production, and how process conditions relate to yield and quality. Experience defining and implementing manufacturing or QC use cases such as batch investigations, continued process verification (CPV), yield analysis, raw-material variability assessment, stability trending, or technology transfer. Experience delivering solutions in GxP environments, including traceability, data integrity, controlled changes, reproducible calculations, and collaboration with Quality and Validation teams. Desired: Data & Technology A proven record of designing conceptual, logical, and physical data models that connect products, batches, material lots, process steps, equipment, samples, analytical results, and quality events across systems. Experience integrating scientific and manufacturing data from systems such as LIMS, laboratory instruments, process historians, MES, ERP, ELN, and quality management systems. What You Will Do Together with the Scientific Business Analyst (SBA), lead onsite discovery with manufacturing, MSAT, QC, IT, and Quality teams. Map scientific workflows, inspect representative source data, identify gaps, and define prioritized use cases with measurable outcomes and acceptance criteria. Together with the platform knowledge engineering team (semantic management, data modeling, ontology), design reusable product, process, and QC data models for biologics manufacturing. Establish shared structures and controlled vocabularies while preserving product-, modality-, and site-specific requirements. Model batch and material genealogy, including splits, pools, intermediate lots, and links between drug substance and drug product. Connect process measurements and QC results to the correct batch, unit operation, sample, method version, and specification. Define mappings across sites and external manufacturing partners, reconciling identifiers, terminology, units, timestamps, and process hierarchies while retaining source provenance. Build use cases for investigation evidence assembly, CPV, cross-batch comparisons, process and yield analysis, and technology transfer. Translate scientific questions into data requirements, calculations, prototypes, and production-ready specifications. Develop Python parsers, data transformations, quality checks, and applications using Tetra OS. Collaborate with engineering teams to deliver reliable integrations and maintainable data products. Prepare contextualized datasets for statistical, mechanistic, and AI/ML models. Work with scientific users and applied AI engineers to assess data suitability, interpret outputs, and evaluate performance. Support verification and validation through documented requirements, source-to-target mappings, test evidence, and reproducible analyses, working within partner Quality processes. Demonstrate solutions regularly, incorporate user feedback, and train partner teams to maintain and extend delivered models and applications. Multi-site manufacturing data harmonization and external CMO/CDMO data integration. Process historian and time-series data, chromatography data, statistical process monitoring, and multivariate analysis. Databricks, cloud data platforms, and manufacturing information models such as ICH, ISA-88 and ISA-95. Benefits 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching We are not currently providing visa sponsorship for this position The salary range for this position is $140,000 - $240,000. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate's specific experience, localized market data, and internal team equity.

Job Description Job Description Why LeoLabs? At LeoLabs, we're building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements each day on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence helps protect critical assets, characterize activity in orbit, monitor emerging threats, and enable safer and more effective operations for commercial and government missions. We're not just building technology-we are redefining global security, safety, and transparency in space. As orbital activity accelerates and the operating environment becomes increasingly complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, satellite operations, and national security missions around the world. If you're looking to work on mission-critical challenges at the intersection of aerospace, national security, software, data, and AI, your impact starts here. This position is contingent upon final approval, with an anticipated hiring timeline beginning as early as January 2027. We are beginning the search in advance of the anticipated hiring timeline. LeoLabs is seeking a Software Product Manager to join our Product organization and lead the continued development, commercialization, and growth of our SDA software product , one of LeoLabs' core software products. Our SDA software product transforms LeoLabs' radar data and space-domain information into operational intelligence, analytics, alerts, and mission workflows that help customers understand what is happening in orbit and act with greater speed and confidence. This role sits at the intersection of customers, market needs, product strategy, engineering, and business objectives. You will be responsible for understanding customer missions and market opportunities, defining where our SDA software product should compete, translating those needs into differentiated product capabilities, and helping turn those capabilities into products customers can adopt and buy. The ideal candidate is a strong product thinker with both commercial and technical judgment. You should have experience working in the space industry or in a closely related aerospace or national-security environment, be comfortable engaging directly with sophisticated commercial and government customers, and be able to translate complex mission problems into clear product and business direction. What You'll Do Own the product and business strategy for our SDA software product, including product vision, roadmap, market positioning, prioritization, packaging, and execution Develop a deep understanding of our SDA software product customers, users, missions, workflows, operational challenges, and buying behavior Work directly with commercial and government customers, operators, analysts, internal stakeholders, and subject-matter experts to identify unmet needs, validate product opportunities, and understand where LeoLabs can create differentiated value Identify and prioritize market segments, use cases, and customer problems where Our SDA software product can create meaningful mission impact and business growth Translate customer, mission, and business requirements into clear product requirements, capabilities, user experiences, and prioritized development work Partner closely with Engineering throughout the product lifecycle, from discovery and definition through development, testing, release, and iteration Make product investment decisions based on customer value, strategic differentiation, revenue potential, technical feasibility, scalability, and company priorities Define how our SDA software product capabilities are packaged and positioned so customers can clearly understand what they are buying, why it matters, and how it supports their mission Partner with Sales, Business Development, Marketing, and Customer Success to support customer engagements, product demonstrations, proposals, strategic pursuits, pilots, and go-to-market activities Help shape pricing, packaging, and commercial models for our SDA software product offerings in partnership with Product leadership and other business stakeholders Maintain and communicate a clear product roadmap and ensure alignment across Product, Engineering, Sales, Business Development, Customer Success, Operations, and company leadership Define and monitor product and business metrics that measure adoption, usage, customer outcomes, time-to-value, retention, expansion, revenue impact, and overall product performance Lead product launches and internal enablement, ensuring that Sales, Customer Success, and other customer-facing teams can effectively communicate and sell new our SDA software product capabilities Continuously evaluate competitors, adjacent markets, customer acquisition trends, emerging technologies, and changes in the space and national-security environment to identify new opportunities for our SDA software product Distinguish between individual customer requests and repeatable market needs, ensuring our SDA software product evolves as a scalable product rather than a collection of one-off solutions Help establish and improve product management practices as LeoLabs continues to scale its product organization What We're Looking For 5+ years of product management experience, preferably with software, data, analytics, enterprise, or other highly technical products Professional experience working in the space industry, or in a closely related aerospace, defense, or national-security environment, with demonstrated understanding of space missions, customers, operators, or technologies Demonstrated experience owning products or major product areas from market discovery and product strategy through development, launch, adoption, and iteration Strong business judgment and the ability to connect product decisions to customer outcomes, competitive differentiation, revenue opportunities, and company strategy Strong customer orientation and experience engaging directly with customers to uncover needs, validate opportunities, and translate feedback into scalable products Demonstrated ability to translate complex technical, operational, or customer problems into clear product direction and priorities Experience working closely with software engineering teams and technical leaders throughout the product development lifecycle Ability to make informed prioritization decisions across competing customer requests, business opportunities, strategic priorities, and technical constraints Excellent written and verbal communication skills, with the ability to communicate effectively with engineers, customers, executives, operators, and other technical and non-technical audiences Strong analytical and problem-solving skills, including the ability to use both quantitative and qualitative information to make product decisions Ability to operate effectively in a fast-moving environment where customer needs, technology, and market conditions can evolve quickly Curiosity and willingness to develop deeper expertise in complex space, technical, and mission domains Ability to operate with a high degree of ownership and independently drive product decisions while building alignment across multiple organizations Willingness and ability to travel domestically and internationally to engage directly with customers, partners, and internal teams. LeoLabs is a global company with customers and users around the world, and this role will require periodic travel to understand customer missions, support key engagements, and represent the product in-market Preferred Qualifications Experience building and commercializing products for government, aerospace, defense, intelligence, or other highly technical markets Direct experience with Space Domain Awareness, Space Situational Awareness, Space Traffic Management, satellite operations, orbital analysis, command and control, or related space missions Experience working with satellite operators, space mission operators, U.S. government space organizations, allied defense organizations, or commercial space companies Familiarity with orbital mechanics, tracking data, conjunction assessment, maneuver detection, satellite behaviors, or other space-domain concepts Experience supporting government acquisition processes, strategic pursuits, proposals, demonstrations, pilots, or customer evaluations Experience working with data-intensive products, APIs, analytics platforms, event detection, visualization tools, or operational decision-support systems Experience defining product packaging, pricing, positioning, or go-to-market strategy Experience working directly with government and commercial customers in complex enterprise sales environments Technical background or demonstrated experience working closely with highly technical engineering, data science, scientific, or aerospace teams Experience working in markets where customer requirements may be ambiguous, procurement cycles are complex, and product managers must identify common product needs across multiple customer missions Active U.S. Government security clearance, or the ability and willingness to obtain and maintain one, is preferred What Success Looks Like In this role, success means: . click apply for full job details

Overview: SimVentions is 100% employee-owned and proudly ranked among Virginia's Best Places to Work year after year! We are looking for a Journeyman-to-Senior Software Analyst comfortable with a variety of software languages (including C, C++, Ada, Assembly, Python, and more) to review all aspects of Original Equipment Manufacturer (OEM)-developed software. This position will conduct reviews of software documentation like Software Version Descriptions (SVDs), Software Development Plans (SDPs), Software Design Descriptions (SDDs) and test execution reports. While this is not a coding position, familiarity with coding processes and best practices (including DevSecOps principles) will be important. This position will provide technical guidance through briefs and briefing materials to executive and senior-level management based on the analysis of OEM documentation, hardware, software, system models, and more. Work location is on-site at NAVAIR PAX River daily. Travel: Some travel expected (up to 10%) Clearance: An ACTIVE Secret Clearance is required for this position. Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: In-depth knowledge of software coding languages (e.g. C, C++, Ada, Assembly, Python) Experience writing/reviewing software development documentation like SVDs, SDPs, and SDDs Experience reviewing test execution reports and code analysis results Knowledge of software development methodologies like DevSecOps Familiarity with software containerization, automated builds, continuous integration/continuous deployment (CI/CD) practices, modular open systems approaches (MOSA), etc. Responsibilities: Review all aspects of Original Equipment Manufacturer (OEM)-developed software including source code, repository structures, and related technical deliverables Review contractor-submitted Contract Data Requirements Lists (CDRLs) including Software Version Descriptions (SVDs), Software Development Plans (SDPs), Software Design Descriptions (SDDs), and test execution reports Review outputs from Static Application Security Testing (SAST) and Software Composition Analysis (SCA) tools for critical vulnerabilities (CVEs) and adherence to coding standards Evaluate dynamic code analysis results, memory management metrics, and automated unit, integration, and regression test suites Review structural code coverage reports to assess metrics, ensuring thorough validation and absolute reliability of avionics systems before deployment to the field Coordinate technical reviews for multi-disciplinary teams, including evaluation of OEM engineering proposals, technical risks, technical compromise decisions, and engineering trade-offs. Monitor program execution status including software schedule and cost. Develop and deliver written and oral presentations regarding technical issues, OEM performance, and system readiness Provide technical guidance to managers, peers, and sponsors on the viability of OEM system designs and concept developments Preferred Skills and Experience: Strong interpersonal and presentation skills Experience delivering presentations to executives and senior management Education: BS/BA degree in Computer Science or Engineering field from an ABET accredited college program Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $100,000 - $140,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC