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This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Location: Ghent, Belgium Company: LexisNexis Legal & Professional About LexisNexis LexisNexis Legal & Professional serves customers in more than 150 countries and is part of RELX, a global provider of information-based analytics and decision tools. We help legal, compliance, government, and business professionals make better decisions, achieve better outcomes, and advance the rule of law around the world. About the Role We are looking for a Full Stack Developer with strong QA Coaching skills to join our collaborative engineering team in Belgium. This is a unique opportunity for a developer who enjoys both building software and improving quality practices across the team. You will work closely with developers, product managers, and designers to ensure high-quality, reliable releases while helping establish a strong testing culture. Key Responsibilities Technical Foundation Understand and navigate our full-stack architecture, including frontend, backend, APIs, and databases. Review code through Git/GitHub pull requests to assess code quality and test coverage. Support developers in debugging and problem-solving activities. Leverage AI-powered tools such as GitHub Copilot and Claude to accelerate code reviews, troubleshooting, and development workflows. Quality Assurance Design, write, and maintain test plans and test cases. Perform manual, exploratory, and validation testing. Establish and maintain lightweight testing standards, checklists, and QA best practices. Monitor features in production and assist with troubleshooting and issue investigation. Ensure testing activities are incorporated throughout the development lifecycle. Coaching & Collaboration Coach developers on testing techniques and quality-focused development practices. Review test coverage, identify gaps, and highlight potential edge cases. Explain testing rationale through code reviews, pair programming, and collaborative sessions. Partner with Product Managers and Designers to define clear acceptance criteria and testable requirements. Promote a culture of ownership, quality, and continuous improvement across the engineering team. What We're Looking For Experience as a Full Stack Developer with solid knowledge of modern web application architectures. Strong understanding of software quality assurance principles and testing methodologies. Experience reviewing code and working with Git/GitHub workflows. Ability to troubleshoot complex technical issues across multiple layers of an application. Excellent communication and coaching skills. Experience working in Agile development environments. Passion for quality, collaboration, and continuous learning. Why Join LexisNexis? Work on innovative products that make a meaningful impact globally. Be part of a collaborative and inclusive team culture. Access continuous learning and professional development opportunities. Benefit from the resources and stability of a global organization while contributing to a high-performing local team. Ready to help us build high-quality software and empower teams to deliver excellence? Apply today and join LexisNexis in Belgium. Primary Location Base Pay Range: Belgium - Ghent €54,400 - €90,800. This role is covered by the PC 200/ CP 200 Paritair Comité (Dutch) / Commission Paritaire (French) We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

This job is with lululemon, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description & Requirements Who we are lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people. About this team The Data & AI Security team is responsible for protecting the organization's most critical data and AI assets while enabling responsible, scalable innovation. We build and operate Data Security Posture Management (DSPM) and AI Security Posture Management (AISPM) capabilities across a complex, global ecosystem. Our work is highly cross-functional, partnering with Data & Analytics, Engineering, Legal, Privacy, and GRC teams to embed security by design while keeping the organization fast, compliant, and resilient. Our focus is on visibility, prevention, and remediation at scale, balancing strong security controls with minimum business friction. The Senior Cybersecurity Engineer is responsible for securing the organization's AI ecosystem by discovering, assessing, and mitigating risks associated with AI models, data usage, model lifecycle, and AI-driven workflows. This role partners closely with Data Governance, Platform Engineering, and Security Architecture to enable safe and scalable AI adoption while ensuring regulatory, privacy, and corporate policy alignment. Core responsibilities As a Senior Cybersecurity Engineer, you will lead complex security engineering initiatives, designing and implementing security controls, platforms, and solutions that protect critical systems at scale. You will build and operate enterprise security capabilities such as centralized authentication, security enforcement mechanisms, and security automation, while applying secure coding practices and rigorous testing and validation. You will partner closely with engineering teams to embed security into system design and delivery, drive improvements to security quality and reliability, and mentor junior engineers through hands-on technical leadership and knowledge sharing. Select responsibilities include: Build enterprise security systems implementing centralized authentication, security platforms, and organization-wide controls Lead comprehensive threat modeling and security assessments for complex systems, evaluating attacker behaviour across integrations and influencing secure design decisions early in the development lifecycle Own end-to-end response for complex security incidents, driving deep root cause analysis and delivering coordinated long-term improvements to detection, prevention, and security monitoring capabilities Develop advanced security code, tools, and libraries including security automation platforms, scanners and detectors, security testing systems, and security SDKs Establish security code standards defining secure coding practices, code review requirements, and implementation quality Qualifications Bachelor's degree in Computer Science , Cybersecurity, or related field; security certification strongly preferred 6-10 years of experience leading security engineering initiatives, establishing security standards and practices, and building security systems at scale, or equivalent. Experience with Data Security Posture Management (DSPM), Data Loss Prevention (DLP), AI Security Posture Management (AISPM), or related data security technologies, including data discovery, classification, run time monitoring, and policy enforcement across enterprise and cloud environments. Experience owning, operating, or maturing enterprise security platforms and capabilities, including operationalization, roadmap execution, adoption, and continuous improvement. Strong systems engineering mindset with experience designing scalable solutions, integrations, automation, and operational processes. Experience translating security findings into prioritized remediation plans and measurable risk reduction outcomes. Experience identifying and mitigating risks associated with sensitive data exposure, AI-enabled solutions, cloud data platforms, and emerging technologies. Proven ability to lead enterprise-scale security capabilities and initiatives, driving alignment, adoption, and measurable outcomes across technical and business teams Experience defining metrics, reporting, operational processes, and service models that support sustainable security capabilities at enterprise scale. Strong communication and collaboration skills, with the ability to explain complex technical concepts and influence decisions across engineering, cybersecurity, data, privacy, legal, and business teams. Experience mentoring engineers and contributing to technical direction, best practices, and capability maturity within a security engineering organization. Must haves Acknowledge the presence of choice in every moment and take personal responsibility for your life. Possess an entrepreneurial spirit and continuously innovate to achieve great results. Communicate with honesty and kindness and create the space for others to do the same. Lead with courage, knowing the possibility of greatness is bigger than the fear of failure. Foster connection by putting people first and building trusting relationships. Integrate fun and joy as a way of being and working, aka doesn't take yourself too seriously. Please Note: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time for this role. Compensation and benefits package lululemon's compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $147,300 - $193,300 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements. At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth: Extended health and dental benefits, and mental health plans Paid time off Savings and retirement plan matching Generous employee discount Fitness & yoga classes Parenthood top-up Extensive catalog of development course offerings People networks, mentorship programs, and leadership series (to name a few) Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice. Workplace arrangement This role is classified as In-Person under our SSC Workplace Policy: In-person collaboration and/or office-based work is necessary or important for the role. Work is mainly performed onsite, 4-5 days per week depending on role requirements.

This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 14 The Team The Head of Enterprise Digital Assets & Tokenization leads S&P Global's central Digital Assets & Tokenization team, reporting to S&P DJI's Head of Business Acceleration & Special Projects, who oversees the team on behalf of S&P Global's Head of DeFi (Chief Product & Operations Officer, S&P DJI). S&P Global's position is straightforward: markets execute on trust, and S&P anchors it - on every rail. Our data, identifiers, benchmarks, indices and risk assessments are the infrastructure of trusted workflows, and they must be as authoritative onchain as they are today. This is a small, senior team with an enterprise mandate to make that happen: set direction, prioritize where the firm invests, unblock divisions, and land the external partnerships that de-risk each initiative. The team is deliberately lean. It is not a shadow product organization and not a research function. Divisions own delivery and revenue; this team sets the agenda, sponsors funding, brings partners to the table and holds the enterprise to a bias for in-production outcomes rather than pilots. Delivery capacity is drawn from divisional execution pods and from Kensho engineering. The role has two direct reports at the outset, with scope to grow as the portfolio warrants. Responsibilities and Impact Enterprise Strategy, Prioritization & Capital Allocation Own the enterprise digital assets and tokenization strategy day-to-day, translating it into a prioritized, funded and sequenced portfolio of initiatives across divisions. Run a single intake for divisional requests and enterprise-originated opportunities; apply and continuously sharpen the "Start Now" screening criteria and stage gates covering division readiness, resourcing, partner commitment and regulatory sensitivity. Co-own and sponsor business cases that secure investment at both enterprise and divisional level; make explicit recommendations on what to start, what to hold and what to stop. Maintain a defensible, evidence-based view of market direction - tokenization economics, onchain market structure, and the AI blockchain intersection - and use it to keep the firm's portfolio ahead of, not behind, client demand. Delivery & Execution with Divisions Drive priority initiatives to in-production status with paying customers, augmenting divisional teams that lack capacity, depth or delivery muscle. Appoint and hold a single accountable owner for each enterprise or divisional opportunity; empower them to execute and remove the obstacles they cannot clear themselves. Build the playbooks, trained people and repeatable processes that divisions own after handover, so central involvement is time-boxed by design. Maintain a live enterprise view of initiative milestones, decisions and dependencies; cut duplication and connect complementary work across divisions. External Partnerships & Commercial Development Build and personally hold senior relationships across the institutions that matter most in onchain capital markets - onchain-native platforms, issuers, protocols and infrastructure providers, and the banks, asset managers and market infrastructure firms moving onto these rails. Negotiate partnerships in which counterparties co-invest, commit to production use and provide the requirements that ensure fit within their workflows; avoid peripheral collaborations that consume time without producing adoption. Shape commercial constructs for onchain distribution - consumption and per-call economics, licensing terms, and pricing models suited to agent- and protocol-mediated consumption - in partnership with divisional commercial and legal teams. Represent S&P Global externally with credibility: conferences, standards bodies, working groups, industry consortia, and direct engagement with founders, investors and executives. Internal Alignment, Governance & Risk Convene and run the enterprise governance forum for digital assets, preparing the material and framing the decisions that senior sponsors need to make. Align divisions, corporate functions and enterprise leadership behind a shared set of priorities, resolving competing interests and sequencing trade-offs so that initiatives advance on mutual benefit rather than mandate. Keep Legal, Risk and Compliance sighted on everything in flight; run a lightweight, fast checkpoint before any initiative moves from exploration to pilot or commitment, protecting the firm from legal, compliance and reputational exposure. Escalate cleanly and early: surface new opportunities, emerging risks and stop decisions to the governing council with a clear recommendation. Leadership & Influence Lead a small, high-calibre team and grow it as the portfolio warrants; set a standard of ownership, pace and evidence-based argument. Work with talent and engineering leadership to build protocol and AI blockchain capability across the firm, including through Kensho. Act as a trusted advisor to divisional and enterprise leaders: direct about trade-offs, credible on the technology, and grounded in commercial reality. Operate almost entirely through influence rather than direct authority, across a global, matrixed organization. What We're Looking For Required Qualifications 10+ years of experience in capital markets, asset management, financial data and infrastructure, or digital assets, including senior roles with enterprise-wide or firm-building scope. Demonstrated hands-on experience in digital assets: tokenized products, digital asset funds or indices, onchain infrastructure, or the operational and control build-out required to bring them to market. Operator experience is valued well above observer experience. Proven track record of standing up new businesses, products or functions from zero to production, including vendor, counterparty and partner selection, launch, and the operating processes that sustain them. An established external network across onchain-native firms and traditional financial institutions, and the credibility to open and hold senior relationships from a standing start. Commercial judgment: experience building business cases, structuring partnerships and commercial terms, and making disciplined calls on where to invest and where to walk away. Demonstrated success aligning competing priorities and stakeholder interests across independent business units, and delivering through influence rather than direct authority. Executive-level communication: able to brief senior leadership and external principals with equal clarity, and to challenge as well as partner. Comfort operating within regulatory, legal and compliance constraints, and partnering with control functions to move quickly without creating exposure. Preferred Qualifications Experience launching regulated, index-linked or benchmark-linked products, or working with ratings, reference data, identifiers or index production. Sufficient technical fluency in blockchain architecture, smart contracts and onchain data to engage engineering teams and partners substantively; a hands-on engineering background is not required. Experience building and scaling small teams, and handing capability over to larger organizations. Exposure to board, investment committee or council-level governance. Compensation/Benefits Information: (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $185,000 to $265,000 . Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit . . click apply for full job details

Description: Position Overview Sherman & Reilly is seeking a SAP Enterprise Applications Analyst to join the Enterprise Application Support team, support SAP Business ByDesign and lead internal coordination for the transition to SAP S/4HANA Public Cloud. This role works across the business to maintain reliable ERP operations, improve processes, provide useful reporting, and manage implementation and support vendors. The position supports all SAP Business ByDesign modules and related enterprise applications, including SAP Concur Expenses and Avalara tax services. This is not a developer role. Responsibilities include application administration, system configuration, business support, and vendor management. The analyst performs routine system configuration and coordinates major configuration changes and specialized technical work with external vendors. The analyst coordinates these activities with Finance, Supply Chain, Engineering, and Operations. Business departments retain ownership of their data, business policies, and final acceptance of changes. Key Responsibilities Troubleshoot issues, document business impact, coordinate vendor escalation, and validate resolution with affected users. Manage SAP implementation and support vendors, including priorities, scope, deliverables, timelines, service performance, and issue follow-through. Define acceptance criteria and validate demonstrations, configuration changes, and proposed solutions with business owners. Lead internal migration activities from SAP Business ByDesign to SAP S/4HANA Public Cloud, coordinating requirements, end-to-end business testing, user training and adoption, cutover readiness, business sign-off, and post-go-live support. Coordinate data preparation, mapping, validation, and reconciliation of inventory, open orders, work in process, received-not-invoiced balances, and financial balances with business owners and vendors. Support business continuity and continued access to historical records. Identify process gaps and opportunities to use ERP capabilities more effectively; translate business needs into actionable requirements. Maintain and prioritize an improvement backlog with business stakeholders, evaluating opportunities based on value, risk, effort and enterprise application roadmap alignment. Work with business stakeholders to develop and maintain reports and dashboards that support operational decisions. Partner with business process owners to evaluate requirements against standard SAP capabilities, identify opportunities for process standardization, and help govern requests for more efficient business workflows. Support SAP Concur Expenses, Avalara, and other connected enterprise and corporate applications. Monitor ERP interfaces and data transfers; coordinate investigation and resolution of integration and transaction failures. Maintain functional ownership of the enterprise application integration landscape including interface documentation, monitoring, issue coordination, dependency management and vendor accountability. Administer user access and roles, perform routine system configuration, maintain documentation, and coordinate release testing and vendor-led changes. Coordinate with business owners to maintain accurate material, BOM, supplier, customer, pricing, and planning data, including ownership and validation standards. Support MRP, production orders, inventory allocation, serial traceability, quality workflows, and engineering changes in a low-volume, high-mix manufacturing environment. Maintain appropriate application access and segregation of duties, document configuration changes, and support SOX controls, audit evidence, and record-retention requirements. Requirements: Required Qualifications Familiar with administering or supporting SAP Business ByDesign. Hands-on experience with SAP S/4HANA Public Cloud. Demonstrated experience migrating from one ERP platform to another, including data validation, business testing, and go-live support. Experience managing ERP implementation or support vendors and holding them accountable for results. Experience in, or demonstrated familiarity with, the manufacturing industry and its business processes. Ability to support ERP processes across business functions and develop working knowledge of all SAP Business ByDesign modules used by the company. Strong analytical and troubleshooting skills, with the ability to identify root causes and coordinate practical solutions. Ability to translate business needs into requirements, communicate clearly with technical vendors and business users, and manage competing priorities independently. Ability to work on-site in Chattanooga, Tennessee. Preferred Qualifications Experience migrating specifically from SAP Business ByDesign to SAP S/4HANA Public Cloud. Experience supporting SAP Concur Expenses and Avalara tax integrations. Vertex experience is a suitable alternative to Avalara experience. Experience supporting engineering teams and familiarity with SolidWorks. Experience with bill of materials generation and transfer from SolidWorks into SAP, including data accuracy and change coordination. Familiarity with SAP Business Technology Platform (BTP) for data access, reporting, or integration. Experience creating ERP reports, dashboards, and business analytics. Experience with rental equipment and field-service processes, including recurring billing and equipment-level profitability. Experience with manufacturing costing, backflush, work in process, and inventory reconciliation. Familiarity with corporate reporting and integration environments such as OneStream, JDE, Boomi, or Databricks. Work Schedule and Travel This is an on-site position in Chattanooga, Tennessee. The typical schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m., with flexibility within the company's operating hours of 6:00 a.m. to 6:00 p.m. Travel is expected to be limited. Why Sherman + Reilly A newly created seat with real ownership: you'll build the category strategy from the ground up, not inherit someone else's playbook. A product that matters: utility infrastructure is the backbone of the grid, and our equipment is on job sites every day. Chattanooga, TN - consistently recognized for quality of life, outdoor recreation, and a lower cost of living than major metro markets. Quanta Services company - the stability and benefits of a large organization with the culture and decision-making speed of a smaller team. Direct investment in Category Management as a discipline: this role is part of a first-of-its-kind function at S+R, with the mandate and leadership support to build it right. Competitive compensation and benefits including medical, dental, vision, 401(k) with company match, and paid time off. How to Apply Submit your resume and a brief cover letter through our careers page or the platform where you found this posting. We review applications on a rolling basis and will be in touch with qualified candidates promptly. Sherman + Reilly, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable law. PI58dbd-3226

This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details

Hourly Pay Range: $34.41 - $53.34 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors. Position Highlights: Position: Data Scientist I - Epic Model Monitoring Location: Skokie, IL Full Time Hours: Monday-Friday, 8:00am - 4:30pm Required Travel: local travel to other corporate sites may be needed Hybrid Position A Brief Overview: As a Data Scientist I at Endeavor Health, you will be responsible for developing solutions for automated monitoring of quantitative, predictive, prescriptive, and Generative AI (GenAI) models on Epic. Your primary focus will be on automating the monitoring of our clinical prediction models and developing dashboards for GenAI models, heavily leveraging our Epic ecosystem - specifically Epic Cogito and Nebula, to monitor patient outcomes and increase operational efficiency. This role requires intellectual curiosity, proactive problem-solving, and the ability to work independently in a fast-evolving, ambiguous environment. We're looking for people who thrive even when the roadmap is still being drawn. Effective communication skills are essential to translate complex AI concepts for non-technical stakeholders and collaborate across product, engineering, and business teams. You will serve as an internal Epic expert, leading efforts to understand, enhance, develop frameworks for AI monitoring, and rapidly prototype and build innovative features that improve accuracy, reliability, and user experience. What you will do: Model & GenAI Monitoring: Design, build, and maintain automated systems for monitoring the performance, health, and usage of both predictive models and GenAI models running in Epic Nebula and tracked via Cogito dashboards. Data Collection and Preprocessing: Collect, clean, and preprocess data directly from Epic Chronicles, Caboodle, and the enterprise data lakehouse to prepare it for analysis and model validation. Implementation and Validation: Assist in the end-to-end analytics product lifecycle, from initial configuration and testing in a proof-of-concept environment to deployment and validation in production. Analysis and Communication: Document your work and communicate findings to both technical and non-technical stakeholders. Collaboration: Work closely with peers, IT experts, and clinical teams to help design and develop end-to-end analytics products and ensure that model outputs are effectively integrated into clinical workflows. What you will need: Education: Bachelor's in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related fields. Certification: Epic Cogito Fundamentals (or within 90 days of hire date) Experience: Minimum 2 years of experience in data science, analytics, or similar role. Minimum 2 years of experience with Epic is a plus. Unique or Preferred Skills: Intellectual curiosity. Advanced degree in statistics (preferred), applied mathematics, predictive analytics, computer science, operations research or related quantitative discipline. Proven, hands-on experience navigating, querying, and working within Epic Cogito and Nebula. High proficiency in Python and SQL. Familiarity with snowflake or other data lakehouse platforms is a plus. Good written and verbal communication skills. Familiarity with or interest in the healthcare industry is a plus. Benefits (For full time or part time positions): Incentive pay for select positions Opportunity for annual increases based on performance Career Pathways to Promote Professional Growth and Development Various Medical, Dental, Pet and Vision options Tuition Reimbursement Free Parking Wellness Program Savings Plan Health Savings Account Options Retirement Options with Company Match Paid Time Off and Holiday Pay Community Involvement Opportunities Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals - Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) - all recognized as Magnet hospitals for nursing excellence. For more information, visit . When you work for Endeavor Health, you will be part of an organization that encourages its employees to achieve career goals and maximize their professional potential. Please explore our website () to better understand how Endeavor Health delivers on its mission to "help everyone in our communities be their best". Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. Please refer to the main career page for more information. At Endeavor Health, we are united by a shared commitment to working together to create a culture of connection and belonging-each of us bringing different skills and experiences as we deliver safe, seamless, and personal care. Every person, every time. We are committed to fostering an environment where all team members can be their best, learn, and pursue excellence together. EOE: Race/Color/Sex/Sexual Orientation/ Gender Identity/Religion/National Origin/Disability/Vets, VEVRRA Federal Contractor.

Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description Job Description Overview : Quantum Research International, Inc. (Quantum ) provides our national defense and federal civilian and industry customers with services and products in the following main areas: 1) Cybersecurity and Information Operations; 2) Space Operations and Control; 3) Aviation Systems; 4) Ground, Air and Missile Defense, and Fires Support Systems; 5) Intelligence Programs Support; 6) Experimentation and Test; 7) Program Management; and (8) Audio/Visual Technology Applications. Quantum's Corporate Office is located in Huntsville, AL, but Quantum actively hires for positions nationwide and internationally. We pride ourselves on providing high quality support to the U.S. Government and our Nation's Warfighters. In addition to our corporate office, we have physical locations in; Colorado Springs, CO; Crestview FL; and Tupelo, MS Mission: Quantum Research Intl . is seeking a motivated Senior Data Architect to work as a member of their team in our Huntsville, AL, National Cyber Security Operations Center. The Senior Data Architect is responsible for data modeling, governance, integration, and the development of scalable, high-performance data environments aligned with modern DoW standards in support of the Army Critical Information and Exposure Reporting System (ACIERS). This role ensures that ACIERS data systems are robust, secure, interoperable, and capable of supporting advanced analytics and mission-critical workflows across unclassified, secret, and top-secret environments. Responsibilities: Design, develop, and maintain scalable data architectures that support ingestion, integration, storage, modeling, governance, and analytics of PAI (Publicly Available Information) and CAI (Commercially Available Information) datasets, alongside sensitive security data sources Architect end-to-end data pipelines for ingesting, transforming, and enriching heterogeneous data (structured, semi-structured, unstructured) while ensuring compliance with security classification, handling requirements, and risk management frameworks (e.g., RMF) Define and enforce data models, schemas, ontologies, and metadata standards that facilitate correlation of PAI/CAI with classified or controlled security data for risk highlighting, analytics, and reporting. Support hybrid cloud strategies: manage on-premise databases while designing seamless integration, migration, and synchronization with AWS, Azure, or cloud-hybrid environments. This includes data lakes, warehouses, and real-time processing capabilities. Collaborate with development teams to define, source, ingest, and structure mission-relevant data. Provide technical thought leadership in high-level architecture, big data adoption, and analytics platform strategy. Lead the architecture and design of the business intelligence and analytics platform supporting ACIERS. Ensure the data design can scale to accommodate expanding mission requirements and datasets. Support integration of cloud-managed services, when appropriate, ensuring compliance with DoW standards. Coordinate and lead discussions with customer stakeholders on subject matter areas, generate required contract reporting/courses of action, and produce briefing materials. Collaborate with security, compliance, engineering, and analytics teams to translate risk/vulnerability requirements into technical data solutions, including APIs, ETL/ELT processes, and self-service analytics platforms. Requirements: Bachelor's Degree from an accredited university in Computer Science, Information Technology or equivalent. Additional experience may be considered in lieu of a degree with proven record of senior level experience. Minimum 5 years experience in data modeling for large, complex database systems (350+ tables) with a focus security, risk, or intelligence data environments. Prior experience with eMASS, RMF processes, PPPs, or similar DoW/cybersecurity data sources is highly preferred. Strong expertise in relational and no/SQL/on-premise databases (E.g., Oracle, SQL Server, PostgreSQL) alongside cloud-native services (AWS RDS, S3, Azure SQL, Redshift, etc.) Proficiency in data modeling (conceptual, logical, physical), ETL/ELT tools, data integration and orchestration platforms. CompTIA Security+ CE or higher Demonstrated ability to design enterprise-level data architectures aligned with mission objectives. Strong conceptual thinking and the ability to translate mission needs into technical data solutions. Recognition and application of data architecture design patterns. Experience creating performance-optimized physical data models. Proficiency with data modeling tools (e.g., InfoSphere, ERWin). Understanding of big data technologies and high-volume, real-time data processing environments. Active Top Secret Clearance or must be capable/eligible of obtaining such upon employment. (Security Clearance requires US Citizenship) Desired Skills and Qualifications: 12+ years of experience in data analysis or related fields. Experience with programming languages such as Python, Java, C++, SQL. Hands-on experience with big data frameworks, data integration tools, and analytics platforms. Experience with UML, Sybase PowerCenter, or similar modeling suites. Working knowledge of Informatica B2B Data Exchange. Experience with OSCAL, automated control inheritance, or direct eMASS integrations. Experience with search, content recommendation, and sequencing algorithms. Understanding of Supply Chain Risk Management or sensitive/critical program data handling. AWS Certified Data Analytics Specialty, Azure Data Engineer/Architect, CDMP, CISSP Certifications: Applicable Certifications include but are not limited to any of the following:Security+, CISSP, AWS/Azure data engineering/architect Equal Opportunity Employer/Affirmative Action Employer M/F/D/V: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Job Description Job Description Convene Hospitality Group (CHG) operates a global portfolio of lifestyle brands focused on creating places and experiences that bring people together. The company designs, develops, and operates hospitality-driven destinations to host gatherings of all kinds, ranging from small corporate meetings to immersive brand activations and beyond. We love bringing people together in person, and that passion for great experiences extends to our employees as well. If you're interested in creating inspiring moments of connection, consider joining our team. Data Platform Lead We're hiring a hands-on Data Platform Lead, to join Convene Hospitality Group's (CHG) Technology organization.You'll own our data platform end to end, from architecture to how we model the business, and you'll manage the analytics engineers who build on it. Data platform modernization and AI-first development are top priorities, and this role sits at the center of both, working hand in hand with the product engineers whose systems create much of our data. Today, our marts mostly mirror the systems they come from. Salesforce data looks like Salesforce, NetSuite data looks like NetSuite. You'll reshape our models around how the business runs, organized by domain, and layer governed dashboards and conversational analytics on top. In one year, a finance lead, a venue GM, and an AI agent should all be able to ask a question in plain language and get the same trusted answer. Today we run Snowflake, dbt, and Fivetran. You'll help us rearchitect for where CHG is headed: building on Snowflake's native capabilities (semantic views, Cortex, and its agent tooling), rolling out ThoughtSpot, and filling gaps like observability. This is a hands-on management role, open to first-time managers. If you've led as a tech lead, mentored engineers, or directed contractors, you'll get direct coaching from a VP of Engineering who develops first-time leaders. Experienced managers who still want to build are welcome too. What You'll Do: Own the data platform end to end. Architecture, reliability, and roadmap from source to decision across Snowflake, dbt, and Fivetran. Move platform configuration from the UI into Terraform, in coordination with Cloud Infrastructure, so warehouses, roles, grants and connectors are versioned, reviewed and reproducible. Rethink how we model the business. Move us from source-shaped marts to domain-oriented models built around how CHG runs. Set the modeling standards, naming conventions and review practices the team builds on. Work backward from the business question. Partner with Finance, Sales, Operations and venue leadership to turn the questions they need answered into models, metrics and definitions they trust. Partner closely with product engineering. Work with product squads on schema design, data contracts, and upstream changes, so the platform and products evolve together. Own data quality and observability. Set the testing standards, contracts, and reconciliation checks that make our numbers trustworthy, and alert an owner before a stakeholder finds a broken dashboard. Own the metrics and BI layer. Roll out our BI tool and build the semantic layer behind governed dashboards in Snowflake semantic views, with certified metrics and shared definitions, so a number means the same thing everywhere it shows up. Bring conversational analytics online, safely. Stand up natural-language querying and agents on Snowflake's native tools, with the evals and guardrails that keep agent, dashboard, and human answers in sync. Govern the data. Access control, PII handling and accessible documentation across analytics and AI. Lead and grow analytics engineering. Manage and hire our analytics engineers, and direct the contractors we work with today. Coach through code review, pairing, and clear expectations. Keep your hands on the keyboard. Write dbt models, review PRs, debug pipelines and prototype new approaches. Expect to build a lot, especially early on. What We Look For: You have 7+ years in data engineering, analytics engineering or data architecture, including building a modern data platform that people rely on in production. You use AI agents for real multi-step work: building models, writing tests, debugging pipelines and documenting what exists. You write clear specs, give agents the right context, and verify what they produce against the real system. You're deep on dbt and Snowflake. You've designed project structure, testing strategy and warehouse performance at scale, and you manage the platform as code with Terraform or similar. You're fluent in data modeling and have moved a team from source-shaped models to business-shaped, domain-oriented marts, then seen the change through to adoption. You've built data quality and observability practices: tests, contracts, freshness monitoring and alerting that people trust. You've built a semantic layer and governed metrics that people trust, and you understand what it takes to make natural-language and agent-driven analytics accurate. You've worked with managed ingestion like Fivetran and know where it fits and where it breaks. You've led beyond your own work: as a tech lead on a multi-person project, mentoring engineers, running interview loops, or directing contractors or vendors. You explain clearly to engineers and non-engineers. You can walk an analyst through a modeling decision and a CFO through a metric definition. You're high agency. You set direction without waiting for a spec, make architecture calls, and write down your reasoning. Bonus Points You've rolled out ThoughtSpot or another search-driven BI tool. You've unleashed an autonomous agent in the wild, and built the fencing, monitoring and improvement loop around it. You've modeled data from Salesforce, NetSuite or HRIS platforms. You've prepared data for AI use cases: retrieval, agents or feature pipelines. You've worked in hospitality, events, real estate or another customer-centric, multi-location business. Compensation: The above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Job duties and responsibilities are subject to change based on changing business needs and conditions. Base Salary Range: $180,000 - $200,000 Total Target Compensation: $198,000 - $220,000 (includes base salary + annual incentive performance bonus) This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. We're Here For You: At Convene Hospitality Group, we want you to feel supported in every part of your life. Here's what you can expect: Health & Wellness: Day-one health coverage for you and your family, 24/7 virtual care, emotional well-being support, and fertility & family planning benefits. Because your well-being matters, inside and outside of work. Time Off & Balance: Generous PTO, your birthday off (because, of course!), paid parental leave, and a year-end holiday closure to recharge. Financial Growth: 401K with company match and support for education, courses, and certifications. We invest in you so you can grow personally and professionally. Development & Recognition: Ongoing career growth opportunities plus recognition programs to celebrate milestones. Community & Impact: Volunteer and give-back opportunities, and the chance to make a real impact in the work you do. At Convene Hospitality Group, we believe great teams are built by bringing together people with different backgrounds, perspectives, and experiences. Our values of GRIT (Genuine, Relentless, Integrity, and Teamwork) shape how we show up for each other every day. We want everyone here to feel welcome, supported, and free to be themselves. If you're excited to grow, learn, and make an impact, we'd love to have you on the team. Convene Hospitality Group is proud to be an equal opportunity employer. We welcome applicants of all backgrounds, experiences, and perspectives.

Job Description Job Description Convene Hospitality Group (CHG) operates a global portfolio of lifestyle brands focused on creating places and experiences that bring people together. The company designs, develops, and operates hospitality-driven destinations to host gatherings of all kinds, ranging from small corporate meetings to immersive brand activations and beyond. We love bringing people together in person, and that passion for great experiences extends to our employees as well. If you're interested in creating inspiring moments of connection, consider joining our team. Data Platform Lead We're hiring a hands-on Data Platform Lead, to join Convene Hospitality Group's (CHG) Technology organization.You'll own our data platform end to end, from architecture to how we model the business, and you'll manage the analytics engineers who build on it. Data platform modernization and AI-first development are top priorities, and this role sits at the center of both, working hand in hand with the product engineers whose systems create much of our data. Today, our marts mostly mirror the systems they come from. Salesforce data looks like Salesforce, NetSuite data looks like NetSuite. You'll reshape our models around how the business runs, organized by domain, and layer governed dashboards and conversational analytics on top. In one year, a finance lead, a venue GM, and an AI agent should all be able to ask a question in plain language and get the same trusted answer. Today we run Snowflake, dbt, and Fivetran. You'll help us rearchitect for where CHG is headed: building on Snowflake's native capabilities (semantic views, Cortex, and its agent tooling), rolling out ThoughtSpot, and filling gaps like observability. This is a hands-on management role, open to first-time managers. If you've led as a tech lead, mentored engineers, or directed contractors, you'll get direct coaching from a VP of Engineering who develops first-time leaders. Experienced managers who still want to build are welcome too. What You'll Do: Own the data platform end to end. Architecture, reliability, and roadmap from source to decision across Snowflake, dbt, and Fivetran. Move platform configuration from the UI into Terraform, in coordination with Cloud Infrastructure, so warehouses, roles, grants and connectors are versioned, reviewed and reproducible. Rethink how we model the business. Move us from source-shaped marts to domain-oriented models built around how CHG runs. Set the modeling standards, naming conventions and review practices the team builds on. Work backward from the business question. Partner with Finance, Sales, Operations and venue leadership to turn the questions they need answered into models, metrics and definitions they trust. Partner closely with product engineering. Work with product squads on schema design, data contracts, and upstream changes, so the platform and products evolve together. Own data quality and observability. Set the testing standards, contracts, and reconciliation checks that make our numbers trustworthy, and alert an owner before a stakeholder finds a broken dashboard. Own the metrics and BI layer. Roll out our BI tool and build the semantic layer behind governed dashboards in Snowflake semantic views, with certified metrics and shared definitions, so a number means the same thing everywhere it shows up. Bring conversational analytics online, safely. Stand up natural-language querying and agents on Snowflake's native tools, with the evals and guardrails that keep agent, dashboard, and human answers in sync. Govern the data. Access control, PII handling and accessible documentation across analytics and AI. Lead and grow analytics engineering. Manage and hire our analytics engineers, and direct the contractors we work with today. Coach through code review, pairing, and clear expectations. Keep your hands on the keyboard. Write dbt models, review PRs, debug pipelines and prototype new approaches. Expect to build a lot, especially early on. What We Look For: You have 7+ years in data engineering, analytics engineering or data architecture, including building a modern data platform that people rely on in production. You use AI agents for real multi-step work: building models, writing tests, debugging pipelines and documenting what exists. You write clear specs, give agents the right context, and verify what they produce against the real system. You're deep on dbt and Snowflake. You've designed project structure, testing strategy and warehouse performance at scale, and you manage the platform as code with Terraform or similar. You're fluent in data modeling and have moved a team from source-shaped models to business-shaped, domain-oriented marts, then seen the change through to adoption. You've built data quality and observability practices: tests, contracts, freshness monitoring and alerting that people trust. You've built a semantic layer and governed metrics that people trust, and you understand what it takes to make natural-language and agent-driven analytics accurate. You've worked with managed ingestion like Fivetran and know where it fits and where it breaks. You've led beyond your own work: as a tech lead on a multi-person project, mentoring engineers, running interview loops, or directing contractors or vendors. You explain clearly to engineers and non-engineers. You can walk an analyst through a modeling decision and a CFO through a metric definition. You're high agency. You set direction without waiting for a spec, make architecture calls, and write down your reasoning. Bonus Points You've rolled out ThoughtSpot or another search-driven BI tool. You've unleashed an autonomous agent in the wild, and built the fencing, monitoring and improvement loop around it. You've modeled data from Salesforce, NetSuite or HRIS platforms. You've prepared data for AI use cases: retrieval, agents or feature pipelines. You've worked in hospitality, events, real estate or another customer-centric, multi-location business. Compensation: The above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Job duties and responsibilities are subject to change based on changing business needs and conditions. Base Salary Range: $180,000 - $200,000 Total Target Compensation: $198,000 - $220,000 (includes base salary + annual incentive performance bonus) This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. We're Here For You: At Convene Hospitality Group, we want you to feel supported in every part of your life. Here's what you can expect: Health & Wellness: Day-one health coverage for you and your family, 24/7 virtual care, emotional well-being support, and fertility & family planning benefits. Because your well-being matters, inside and outside of work. Time Off & Balance: Generous PTO, your birthday off (because, of course!), paid parental leave, and a year-end holiday closure to recharge. Financial Growth: 401K with company match and support for education, courses, and certifications. We invest in you so you can grow personally and professionally. Development & Recognition: Ongoing career growth opportunities plus recognition programs to celebrate milestones. Community & Impact: Volunteer and give-back opportunities, and the chance to make a real impact in the work you do. At Convene Hospitality Group, we believe great teams are built by bringing together people with different backgrounds, perspectives, and experiences. Our values of GRIT (Genuine, Relentless, Integrity, and Teamwork) shape how we show up for each other every day. We want everyone here to feel welcome, supported, and free to be themselves. If you're excited to grow, learn, and make an impact, we'd love to have you on the team. Convene Hospitality Group is proud to be an equal opportunity employer. We welcome applicants of all backgrounds, experiences, and perspectives.

Job Description Job Description Position Summary The Manager of Internal Controls - Technology Risk will serve as an expert for IT General Controls (ITGCs), automated controls, systems governance, and technology-enabled ICFR compliance as part of the development and execution of GrubMarket's Internal Controls & Sarbanes-Oxley ("SOX") Compliance program. You will help architect and execute GrubMarket's IT control strategy across a highly decentralized and rapidly expanding technology footprint, which includes both corporate systems and subsidiary entity environments. This role will be responsible for developing IT controls methodology, supporting SOX readiness, and partnering closely with Engineering, IT Operations, Security, and Finance to ensure technology risks are identified, mitigated, and monitored proactively. The ideal candidate has deep SOX ITGC experience, strong understanding of system architecture/governance, excellent documentation and communication skills, and the ability to influence without authority across business and technical teams. What You'll Do Develop and implement the Company's ITGC and technology-enabled control strategy, aligning with COSO, COBIT, PCAOB standards, and SOX requirements. Lead the ITGC evaluation process, including access provisioning, user access reviews, SOD design, privileged access governance, change management, and IT operations. Own Design & Implementation (D&I) assessments and documentation for all IT-dependent controls, including automated controls and system-generated reports. Assess systems at Corporate and across DBAs, identify gaps, and design scalable control activities for environments with varying levels of maturity. Partner with Engineering and IT Ops to develop governance processes for system changes, deployments, code review, and release management. Work cross-functionally to implement SOD standards, access governance, and long-term remediation plans across all key systems, including NetSuite and subsidiary tools. Support ERP expansion and system integration initiatives, ensuring that internal controls and audit requirements are embedded in future architecture. Document and continuously update RCMs, narratives, process flows, IT risk assessments, and control documentation. Collaborate with auditors on walkthroughs, documentation reviews, and independent examination of IT controls. Prepare reports and presentations summarizing IT control findings, risks, and remediation progress for senior management and the Audit Committee. Develop SOPs, KPIs, and performance dashboards that increase oversight and transparency into IT control performance. Mentor and develop junior staff, helping build long-term internal IT controls capability. Support special projects, including cyber controls uplift, system consolidations, data governance, and automation initiatives. What You'll Bring Significant IT audit and ITGC experience from public accounting, consulting, or internal audit. Strong command of SOX ITGC requirements, including access management, change management, SOD, and system operations. In-depth understanding of COSO, COBIT, PCAOB audit standards, and general IT risk frameworks. Ability to evaluate and challenge system configurations, segregation of duties, and user access structures. Strong communication skills and ability to translate technical issues into business-focused recommendations. Demonstrated experience addressing ITGC deficiencies and building sustainable long-term solutions. Strong organizational skills and ability to manage multiple complex initiatives concurrently. Experience managing or implementing GRC and access governance tools; familiarity with automation and data analytics is a plus. Education & Experience Bachelor's degree in Information Systems, Computer Science, Accounting, or related field. 6+ years of relevant IT audit/IT risk/SOX experience. Professional certifications preferred (CISA, CIA, CPA, CISSP). Experience working in complex, acquisition-driven or decentralized environments is strongly preferred. Experience with ERP systems, cloud environments, and modern engineering practices.

Job Description Job Description Description: Who We Are Johnson Health Tech is one of the world's largest and fastest-growing fitness equipment manufacturers, delivering innovative solutions that help people live healthier lives. Through our award-winning portfolio of commercial and residential brands, we serve customers in more than 60 countries worldwide. Mission Statement To delight and excite our customers through truly innovative products, unsurpassed quality, and best-in-class customer experience provided by a world-class organization. Position Overview The Principal Enterprise Data Architect is the senior technical leader responsible for the architecture, design, implementation, and continued evolution of Johnson Health Tech's global enterprise data environment. This role leads the technical design of the company's Databricks-based data platform, including integration, transformation, governance, and delivery of data from SAP, Microsoft Dynamics CRM, e-commerce, operational, third-party, and other enterprise data sources. This senior individual contributor role establishes the patterns and technical standards through which data moves across the organization, translating complex business and technology requirements into scalable, maintainable solutions while partnering with global IT, data engineering, analytics, infrastructure, security, application, and business teams. Responsibilities Enterprise Data Architecture Define and maintain the technical architecture for Johnson Health Tech's global enterprise data environment, including the Databricks lakehouse platform and supporting cloud, integration, and data-processing components. Establish scalable architectural patterns and ensure architecture decisions support performance, scalability, reliability, security, maintainability, cost effectiveness, and appropriate emerging technology improvements. Data Engineering and Integration Lead the technical design and implementation of ETL and ELT pipelines connecting SAP, Microsoft Dynamics CRM, e-commerce systems, operational applications, external platforms, and other enterprise data sources. Establish reusable integration frameworks, ingestion patterns, and data-processing standards using SQL, Python, Databricks, Spark, APIs, and other integration technologies, and resolve data-platform performance, scalability, and reliability issues. Data Modeling and Platform Design Define enterprise data-modeling standards across raw, curated, analytical, and consumption-ready data layers. Design data structures that support reporting, analytics, data science, artificial intelligence, operational applications, and business planning, while promoting modular, reusable, testable, and consistent data-engineering practices. Technical Leadership and Standards Serve as the senior technical authority for enterprise data architecture and data engineering. Establish and document architecture principles, development standards, naming conventions, integration patterns, and technical guardrails while providing guidance for complex data initiatives and critical platform components. Global Enablement and Knowledge Transfer Develop technical frameworks, documentation, reference architectures, and training materials required for global adoption of the data platform. Train and mentor regional technology teams to implement, operate, and extend the enterprise data environment within established architectural standards and local requirements. Data Quality, Governance, Security, and Reliability Incorporate data quality, lineage, observability, reconciliation, error handling, monitoring, and platform-performance requirements into platform and pipeline designs. Partner with data governance, cybersecurity, infrastructure, and application teams to ensure appropriate access controls, protection of sensitive data, and compliance with applicable privacy, security, retention, deployment, testing, release-management, disaster recovery, and business continuity requirements. Collaboration and Enterprise Influence Collaborate with enterprise application teams responsible for SAP, Dynamics CRM, e-commerce, manufacturing, logistics, finance, product, customer, and other operational systems, translating business requirements into actionable technical designs. Communicate complex technical decisions clearly, identify architectural risks and dependencies, influence technical decisions across teams, and partner with external vendors while maintaining ownership of the company's architecture and technical standards. Marginal Job Functions Other projects as needed. Requirements: Education Bachelor's degree in computer science, information systems, engineering, data management, or related field, or equivalent professional experience. Master's degree is preferred. Experience At least 15 years of progressive experience in data architecture, data engineering, enterprise integration, software engineering, or related technical disciplines. Extensive experience designing and implementing enterprise-scale data platforms. Demonstrated experience serving as a senior architect, principal engineer, technical lead, or equivalent enterprise technical authority. Other Requirements Expert-level SQL skills and advanced proficiency in Python for data engineering, automation, integration, platform development, and ETL/ELT pipelines for large and complex enterprise data sets. Deep experience with Databricks, Apache Spark, Delta Lake, lakehouse architecture, data modeling, data warehousing, dimensional design, data lakes, and analytical data structures. Experience integrating ERP, CRM, e-commerce, manufacturing, financial, logistics, or other enterprise applications, including SAP, Microsoft Dynamics CRM, APIs, file-transfer methods, database connectivity, message-based integration, and cloud data-integration patterns. Experience with source control, automated deployment, testing, monitoring, modern software development practices, documentation, and repeatable technical standards. Bonus Qualifications Experience with Microsoft Azure, Amazon Web Services, hybrid cloud environments, Databricks Unity Catalog, governance, security, lineage, orchestration, and platform administration. Experience with Power BI, Tableau, data-product, data-mesh, domain-oriented, or federated data-architecture concepts. Experience with change data capture, event streaming, message queues, real-time data processing, DevOps, DataOps practices, and global enterprise environments with multinational deployment requirements. Physical Requirements/Work Environment Physical Requirements While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or touch objects, tools, or controls, and frequently required to talk or hear. The employee is occasionally required to stand, walk, reach above the shoulders, stoop, kneel, or crouch, and must occasionally lift and/or move up to 20 pounds. Specific vision abilities include close vision and the ability to adjust focus. Work Environment This position will require working on-site. Benefits & Perks Medical, dental, and vision insurance Company-paid life insurance and AD&D coverage 401(k) retirement savings plan Paid time off (PTO) FSA and HSA options Employee product discounts, wellness resources, and employee assistance programs Equal Opportunity Employer, including Protected Veterans and Individuals with Disabilities.

Job Description Job Description Saalex Corporation is seeking multiple Configuration Manager Analyst II in Tidewater, VA and San Diego, CA. Saalex Corp., is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management, Engineering and Logistics Services, Data Analytics and Business Intelligence Services and Information Technology Services. Founded in 1999 by Travis Mack, Saalex Solutions is a Service Disabled Veteran-Owned and Operated business with prime and subcontract expertise serving the Navy, Army, Air Force, NASA, corporate clients, and local governments. Saalex offers competitive compensation, career development, flexible work schedules and excellent benefits. Position Type: Contingent on Contract Award. Salary: $65k-$115k (depending on experience) The Configuration Manager Analyst II supports the Navy by managing configuration control processes, system baselines, and change management activities for IT, cybersecurity, and engineering systems in distributed environments. Essential Functions: Manage configuration management (CM) processes for IT systems, networks, and cybersecurity assets. Maintain and control system baselines and configuration items (CIs). Support and facilitate Configuration Control Boards (CCBs) and formal change management processes. Ensure compliance with DoD, Navy, and program configuration management standards (e.g., EIA-649). Track, document, and audit system changes, versions, and releases. Collaborate with engineering, cybersecurity, and program teams to validate configurations. Support audits, inspections, and reporting activities. Requirements Required: 3-5 years of experience in configuration management, IT, or related field. Experience with configuration management principles, tools, or documentation processes. Familiarity with CM tools (e.g., SharePoint, ServiceNow, CMDBs, or version control systems). Desired: Experience supporting DoD or Navy programs. Familiarity with EIA-649, ITIL, or similar configuration management frameworks. Experience supporting audits, compliance activities, or system baselines. Education: Bachelor's degree in Information Technology, Engineering, Business, or related field (or equivalent experience). Security Clearance: Must be eligible to obtain a Secret, Top Secret, or TS/SCI clearance. Active clearances preferred. Requirements to obtain a clearance include US Citizenship, security investigation, etc. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Training & Development Wellness Resources Stock Option Plan

Job Description Job Description Saalex Corporation is seeking multiple Configuration Manager Analyst I in Tidewater, VA and San Diego, CA. Saalex Corp., is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management, Engineering and Logistics Services, Data Analytics and Business Intelligence Services and Information Technology Services. Founded in 1999 by Travis Mack, Saalex Solutions is a Service Disabled Veteran-Owned and Operated business with prime and subcontract expertise serving the Navy, Army, Air Force, NASA, corporate clients, and local governments. Saalex offers competitive compensation, career development, flexible work schedules and excellent benefits. Position Type: Contingent on Contract Award. Salary: $89k-$119k (depending on experience) The Configuration Manager Analyst I supports the Navy by managing configuration control processes, documentation, and system baselines for IT, cybersecurity, and engineering systems supporting global Live Virtual Constructive (LVC) environments. Essential Functions: Support configuration management (CM) activities for IT systems and documentation. Assist in maintaining configuration baselines and tracking configuration items (CIs). Support documentation of system changes, updates, and version control. Assist with configuration control processes and change tracking. Maintain CM records, logs, and documentation repositories. Collaborate with technical teams to gather and update configuration data. Other duties as assigned or required. Requirements Required: 1-3 years of experience in configuration management, IT, engineering, or related field. Bachelor's degree in Information Technology, Engineering, Business, or related field (or equivalent experience). Experience with configuration management principles, tools, or documentation processes. Familiarity with CM tools (e.g., SharePoint, ServiceNow, CM databases, or version control systems). Desired: Experience supporting DoD or Navy programs. Familiarity with EIA-649, ITIL, or similar configuration management frameworks. Experience supporting audits, compliance activities, or system baselines. Security Clearance: Must be eligible to obtain a Secret, Top Secret, or TS/SCI clearance. Active clearances preferred. Requirements to obtain a clearance include US Citizenship, security investigation, etc. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Training & Development Wellness Resources Stock Option Plan

Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $120,000 to $200,000.

Job Description Job Description Convene Hospitality Group (CHG) operates a global portfolio of lifestyle brands focused on creating places and experiences that bring people together. The company designs, develops, and operates hospitality-driven destinations to host gatherings of all kinds, ranging from small corporate meetings to immersive brand activations and beyond. We love bringing people together in person, and that passion for great experiences extends to our employees as well. If you're interested in creating inspiring moments of connection, consider joining our team. Data Platform Lead We're hiring a hands-on Data Platform Lead, to join Convene Hospitality Group's (CHG) Technology organization.You'll own our data platform end to end, from architecture to how we model the business, and you'll manage the analytics engineers who build on it. Data platform modernization and AI-first development are top priorities, and this role sits at the center of both, working hand in hand with the product engineers whose systems create much of our data. Today, our marts mostly mirror the systems they come from. Salesforce data looks like Salesforce, NetSuite data looks like NetSuite. You'll reshape our models around how the business runs, organized by domain, and layer governed dashboards and conversational analytics on top. In one year, a finance lead, a venue GM, and an AI agent should all be able to ask a question in plain language and get the same trusted answer. Today we run Snowflake, dbt, and Fivetran. You'll help us rearchitect for where CHG is headed: building on Snowflake's native capabilities (semantic views, Cortex, and its agent tooling), rolling out ThoughtSpot, and filling gaps like observability. This is a hands-on management role, open to first-time managers. If you've led as a tech lead, mentored engineers, or directed contractors, you'll get direct coaching from a VP of Engineering who develops first-time leaders. Experienced managers who still want to build are welcome too. What You'll Do: Own the data platform end to end. Architecture, reliability, and roadmap from source to decision across Snowflake, dbt, and Fivetran. Move platform configuration from the UI into Terraform, in coordination with Cloud Infrastructure, so warehouses, roles, grants and connectors are versioned, reviewed and reproducible. Rethink how we model the business. Move us from source-shaped marts to domain-oriented models built around how CHG runs. Set the modeling standards, naming conventions and review practices the team builds on. Work backward from the business question. Partner with Finance, Sales, Operations and venue leadership to turn the questions they need answered into models, metrics and definitions they trust. Partner closely with product engineering. Work with product squads on schema design, data contracts, and upstream changes, so the platform and products evolve together. Own data quality and observability. Set the testing standards, contracts, and reconciliation checks that make our numbers trustworthy, and alert an owner before a stakeholder finds a broken dashboard. Own the metrics and BI layer. Roll out our BI tool and build the semantic layer behind governed dashboards in Snowflake semantic views, with certified metrics and shared definitions, so a number means the same thing everywhere it shows up. Bring conversational analytics online, safely. Stand up natural-language querying and agents on Snowflake's native tools, with the evals and guardrails that keep agent, dashboard, and human answers in sync. Govern the data. Access control, PII handling and accessible documentation across analytics and AI. Lead and grow analytics engineering. Manage and hire our analytics engineers, and direct the contractors we work with today. Coach through code review, pairing, and clear expectations. Keep your hands on the keyboard. Write dbt models, review PRs, debug pipelines and prototype new approaches. Expect to build a lot, especially early on. What We Look For: You have 7+ years in data engineering, analytics engineering or data architecture, including building a modern data platform that people rely on in production. You use AI agents for real multi-step work: building models, writing tests, debugging pipelines and documenting what exists. You write clear specs, give agents the right context, and verify what they produce against the real system. You're deep on dbt and Snowflake. You've designed project structure, testing strategy and warehouse performance at scale, and you manage the platform as code with Terraform or similar. You're fluent in data modeling and have moved a team from source-shaped models to business-shaped, domain-oriented marts, then seen the change through to adoption. You've built data quality and observability practices: tests, contracts, freshness monitoring and alerting that people trust. You've built a semantic layer and governed metrics that people trust, and you understand what it takes to make natural-language and agent-driven analytics accurate. You've worked with managed ingestion like Fivetran and know where it fits and where it breaks. You've led beyond your own work: as a tech lead on a multi-person project, mentoring engineers, running interview loops, or directing contractors or vendors. You explain clearly to engineers and non-engineers. You can walk an analyst through a modeling decision and a CFO through a metric definition. You're high agency. You set direction without waiting for a spec, make architecture calls, and write down your reasoning. Bonus Points You've rolled out ThoughtSpot or another search-driven BI tool. You've unleashed an autonomous agent in the wild, and built the fencing, monitoring and improvement loop around it. You've modeled data from Salesforce, NetSuite or HRIS platforms. You've prepared data for AI use cases: retrieval, agents or feature pipelines. You've worked in hospitality, events, real estate or another customer-centric, multi-location business. Compensation: The above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Job duties and responsibilities are subject to change based on changing business needs and conditions. Base Salary Range: $180,000 - $200,000 Total Target Compensation: $198,000 - $220,000 (includes base salary + annual incentive performance bonus) This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. We're Here For You: At Convene Hospitality Group, we want you to feel supported in every part of your life. Here's what you can expect: Health & Wellness: Day-one health coverage for you and your family, 24/7 virtual care, emotional well-being support, and fertility & family planning benefits. Because your well-being matters, inside and outside of work. Time Off & Balance: Generous PTO, your birthday off (because, of course!), paid parental leave, and a year-end holiday closure to recharge. Financial Growth: 401K with company match and support for education, courses, and certifications. We invest in you so you can grow personally and professionally. Development & Recognition: Ongoing career growth opportunities plus recognition programs to celebrate milestones. Community & Impact: Volunteer and give-back opportunities, and the chance to make a real impact in the work you do. At Convene Hospitality Group, we believe great teams are built by bringing together people with different backgrounds, perspectives, and experiences. Our values of GRIT (Genuine, Relentless, Integrity, and Teamwork) shape how we show up for each other every day. We want everyone here to feel welcome, supported, and free to be themselves. If you're excited to grow, learn, and make an impact, we'd love to have you on the team. Convene Hospitality Group is proud to be an equal opportunity employer. We welcome applicants of all backgrounds, experiences, and perspectives.

Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate's skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $120,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description Job Description Location: 100% onsite in Portsmouth, VA Security Clearance: Active Secret required Citizenship: U.S. citizenship required Position Overview We are seeking a Data Architect to support a U.S. Navy program in Portsmouth, VA. This position will provide enterprise data architecture, database design, and Navy Shipyard IT systems support for the Naval Shipyard Support Office (NSSO). The Data Architect will design and maintain data architectures for ship maintenance metrics and analytics, support data integration across multiple Naval Shipyard IT systems, and enable comprehensive analytics and reporting capabilities for leadership decision-making. Key Responsibilities • Design and build databases for data storage or processing, ensuring optimal performance and scalability for shipyard operations. • Develop strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. • Build data models and define the structure, attributes, and nomenclature of data elements across enterprise systems. • Evaluate new data sources for adherence to quality standards and ease of integration. • Design, develop, and maintain enterprise data architectures supporting Naval Shipyard ship maintenance operations, metrics, and analytics. • Integrate data from multiple shipyard IT systems, including AIM, AIMXp, MAT, MRQT, PMC, SPF, SUPDESK, WARR, and PWFA, to enable comprehensive analytics and reporting. • Ensure data integrity, quality, and security across supported systems in compliance with federal and DoD requirements. • Support development and maintenance of corporate metrics dashboards and data visualizations for the ship maintenance community. • Conduct continual program and software life-cycle planning, data mining, and alternatives assessments. • Develop prediction and decision support analytics in support of NAVSEA metrics and operational decision-making. • Collaborate with ERP Business Analysts and Software Engineers to implement data-driven solutions that enhance shipyard efficiency. • Support the development of custom data architectures, queries, and data analytics products tailored to stakeholder requirements. • Develop and maintain system interface relationship diagrams for Naval Shipyard IT infrastructures. • Support cross-functional teams with data architecture requirements for software portfolio management initiatives. • Participate in Technical User Groups (TUGs) and Metric Community of Practice (MCoP) meetings to ensure alignment with enterprise standards and best practices. Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. • 4-7 years of experience in data architecture, data engineering, or enterprise data management. • Demonstrated experience with relational databases, SQL, and data modeling. • Strong knowledge of enterprise data architecture and database design, with the ability to learn and work within Navy Shipyard IT systems. • Active Secret security clearance. • U.S. citizenship. • Ability to meet applicable Cybersecurity Workforce (CSWF) training and certification requirements. • Some travel may be required. Highly Desired Qualifications • Master's degree in Computer Science, Information Systems, or a related field. • 10+ years of experience in enterprise data architecture. • 5+ years of experience with data integration and data warehousing technologies. • Experience supporting DoD or Navy programs. • Experience with business intelligence tools and dashboard development, including Qlik, Power BI, or Power Apps. • Familiarity with Naval Shipyard IT systems and ship maintenance data. Powered by JazzHR xVlS8JlesZ

Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate's skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $120,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.