43 jobs found

Job Description Job Description AI DevOps Engineer You must be authorized to work in the U.S. without any current or future sponsorship needs. This includes but is not limited to H1B, OPT, EAD, T1 and others. We will not be able to accommodate any of these conditions of employment. Who we are: Atkore is forging a future where our employees, customers, suppliers, shareholders, and communities are building better together - a future focused on serving the customer and powering and protecting the world. With a global network of manufacturing and distribution facilities, Atkore is a leading provider of electrical, safety, and infrastructure solutions. Who we are looking for: We are looking for an AI DevOps Engineer to support Atkore's newly established AI team. The AI DevOps Engineer will be a member of the Enterprise Architecture, Data Services and Automation (RPA/AI) team. This team works across all business and IT teams to turn Atkore strategy into executable and scalable platforms, delivering secure, resilient integration and automation to connect processes, applications and data end-to-end. This role reports to the Director of IT Enterprise Architecture, Data Services and Automation (RPA/AI) and will be based in our Mokena, Illinois or Dallas, Texas office. What you'll do : The AI DevOps Engineer is responsible for designing, building, and operating the foundational infrastructure required to support Atkore's enterprise AI capabilities. This role enables scalable, secure, and compliant AI agent development and integration across business, manufacturing, and corporate platforms. The position partners closely with Enterprise Architecture, Information Security, Data Services, and application delivery teams to ensure AI platforms are reliable, governed, and aligned with Atkore IT standards. Design, deploy, and maintain cloud and hybrid infrastructure supporting AI workloads, including container orchestration, GPU-enabled compute, and data platform integration Engineer scalable, resilient environments to support AI agent execution, model serving, and experimentation across the enterprise Design and manage APIs and microservices that provide secure, controlled data access for AI agents and AI-enabled applications Integrate AI infrastructure with enterprise platforms such as data lakes, analytics environments, and business systems Implement CI/CD pipelines, infrastructure-as-code, and automation to support AI platform reliability and repeatability Establish MLOps practices for model deployment, monitoring, and lifecycle management in partnership with data and AI teams Ensure AI infrastructure complies with Atkore security, privacy, and data governance standards Collaborate with cybersecurity and risk teams to enforce secure identity, access management, and auditability across AI platforms Partner with Enterprise Architecture to align AI platform design to long term technology standards and roadmaps Work closely with Data Engineering, Application Integration, and other IT teams to enable AI use cases across Atkore operations What you bring: BS / BA in Computer Science, Business or related field of study At least 5 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles Expertise in containerization and orchestration technologies (e.g. Kubernetes, Docker) and infrastructure as code tools (e.g. Terraform) Hands on experience with public cloud platforms (Azure preferred), including networking, compute, and identity services Experience supporting AI/ML infrastructure platforms (e.g. Azure ML Studio, Mflow, etc) Strong understanding of enterprise security principles, identity management, and secure API design Familiarity with data platforms and analytics ecosystems supporting structured and unstructured enterprise data Familiarity with Software Development Life Cycle and Agile delivery processes Experience integrating AI platforms with ERP, MES, or manufacturing systems within an industrial or manufacturing environment desired Exposure to AI governance, model risk management, or responsible AI frameworks desired Strong analytical, problem-solving, and collaboration skills Ability to communicate effectively with both technical and non-technical stakeholders Must embrace and foster an environment that supports our core values of Accountability, Teamwork, Integrity, Respect, Excellence Within 3 months, you'll: Have successfully completed your onboarding and immersion program, with a full understanding of what's expected of you as well as who the stakeholders are that you'll work closely with Have developed relationships with key stakeholders for this role Have partnered with Enterprise Architecture, Cybersecurity, and Data Services to align on a baseline AI infrastructure architecture aligned to Atkore enterprise standards, security controls, and cloud strategy Within 6 months, you'll: Be working collaboratively with Enterprise Architecture, Cybersecurity, and Data Services to define AI infrastructure guardrails (identity, access, logging, compliance) Be deploying an initial AI platform foundation (cloud and/or hybrid) capable of supporting early AI agent and model workloads Be implementing core DevOps / CI CD patterns for AI infrastructure, enabling repeatable and secure deployments Be successfully supporting first AI use cases or pilots by providing stable, secure infrastructure and rapid engineering support Be working closely with peers on the IT team on achieving KPI's, contributing ideas in the name of continuous improvement, regularly reviewing progress, establishing countermeasures where needed, and working collaboratively to achieve group objectives Within 12 months, you'll: Be expanding AI infrastructure to support multiple concurrent AI workloads, including model serving, data access, and agent execution Be working collaboratively with the Data Services and application teams to deliver secure API and data access patterns that enable AI solutions to integrate with enterprise data and business systems Be working collaboratively with Enterprise Architecture to standardize infrastructure as code and automation to reduce manual effort and improve platform resiliency Be working collaboratively with Enterprise Architecture to establish MLOps and platform monitoring practices for AI reliability, cost management, and performance transparency Atkore is a six-time Great Place to Work certified company and a four-time Top Workplaces USA award winner! We're committed to creating an engaged, aligned workforce driven by a collaborative culture. Our team strives for breakthrough results and stays focused on being standout leaders. We consistently live the Atkore mission, strategic priorities, and behaviors consistent with our core values. Join our team and align yourself with an industry leader! As of the date of this posting, a good faith estimate of the current pay for this position is $107,920 - $148,390. Placement in the range depends on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs and may change over time. Other compensation may include, but not limited to, overtime, shift differentials, bonuses, commissions, stock, and other incentives. Benefits available include: Medical, vision, and dental insurance Life insurance Short-term and long-term disability insurance 401k Paid Time Off Paid holidays Any leave required under federal, state, or local law Benefits are subject to vesting and eligibility requirements. Applications are being accepted on an ongoing basis.

Job Description Job Description AI DevOps Engineer You must be authorized to work in the U.S. without any current or future sponsorship needs. This includes but is not limited to H1B, OPT, EAD, T1 and others. We will not be able to accommodate any of these conditions of employment. Who we are: Atkore is forging a future where our employees, customers, suppliers, shareholders, and communities are building better together - a future focused on serving the customer and powering and protecting the world. With a global network of manufacturing and distribution facilities, Atkore is a leading provider of electrical, safety, and infrastructure solutions. Who we are looking for: We are looking for an AI DevOps Engineer to support Atkore's newly established AI team. The AI DevOps Engineer will be a member of the Enterprise Architecture, Data Services and Automation (RPA/AI) team. This team works across all business and IT teams to turn Atkore strategy into executable and scalable platforms, delivering secure, resilient integration and automation to connect processes, applications and data end-to-end. This role reports to the Director of IT Enterprise Architecture, Data Services and Automation (RPA/AI) and will be based in our Mokena, Illinois or Dallas, Texas office. What you'll do : The AI DevOps Engineer is responsible for designing, building, and operating the foundational infrastructure required to support Atkore's enterprise AI capabilities. This role enables scalable, secure, and compliant AI agent development and integration across business, manufacturing, and corporate platforms. The position partners closely with Enterprise Architecture, Information Security, Data Services, and application delivery teams to ensure AI platforms are reliable, governed, and aligned with Atkore IT standards. Design, deploy, and maintain cloud and hybrid infrastructure supporting AI workloads, including container orchestration, GPU-enabled compute, and data platform integration Engineer scalable, resilient environments to support AI agent execution, model serving, and experimentation across the enterprise Design and manage APIs and microservices that provide secure, controlled data access for AI agents and AI-enabled applications Integrate AI infrastructure with enterprise platforms such as data lakes, analytics environments, and business systems Implement CI/CD pipelines, infrastructure-as-code, and automation to support AI platform reliability and repeatability Establish MLOps practices for model deployment, monitoring, and lifecycle management in partnership with data and AI teams Ensure AI infrastructure complies with Atkore security, privacy, and data governance standards Collaborate with cybersecurity and risk teams to enforce secure identity, access management, and auditability across AI platforms Partner with Enterprise Architecture to align AI platform design to long term technology standards and roadmaps Work closely with Data Engineering, Application Integration, and other IT teams to enable AI use cases across Atkore operations What you bring: BS / BA in Computer Science, Business or related field of study At least 5 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles Expertise in containerization and orchestration technologies (e.g. Kubernetes, Docker) and infrastructure as code tools (e.g. Terraform) Hands on experience with public cloud platforms (Azure preferred), including networking, compute, and identity services Experience supporting AI/ML infrastructure platforms (e.g. Azure ML Studio, Mflow, etc) Strong understanding of enterprise security principles, identity management, and secure API design Familiarity with data platforms and analytics ecosystems supporting structured and unstructured enterprise data Familiarity with Software Development Life Cycle and Agile delivery processes Experience integrating AI platforms with ERP, MES, or manufacturing systems within an industrial or manufacturing environment desired Exposure to AI governance, model risk management, or responsible AI frameworks desired Strong analytical, problem-solving, and collaboration skills Ability to communicate effectively with both technical and non-technical stakeholders Must embrace and foster an environment that supports our core values of Accountability, Teamwork, Integrity, Respect, Excellence Within 3 months, you'll: Have successfully completed your onboarding and immersion program, with a full understanding of what's expected of you as well as who the stakeholders are that you'll work closely with Have developed relationships with key stakeholders for this role Have partnered with Enterprise Architecture, Cybersecurity, and Data Services to align on a baseline AI infrastructure architecture aligned to Atkore enterprise standards, security controls, and cloud strategy Within 6 months, you'll: Be working collaboratively with Enterprise Architecture, Cybersecurity, and Data Services to define AI infrastructure guardrails (identity, access, logging, compliance) Be deploying an initial AI platform foundation (cloud and/or hybrid) capable of supporting early AI agent and model workloads Be implementing core DevOps / CI CD patterns for AI infrastructure, enabling repeatable and secure deployments Be successfully supporting first AI use cases or pilots by providing stable, secure infrastructure and rapid engineering support Be working closely with peers on the IT team on achieving KPI's, contributing ideas in the name of continuous improvement, regularly reviewing progress, establishing countermeasures where needed, and working collaboratively to achieve group objectives Within 12 months, you'll: Be expanding AI infrastructure to support multiple concurrent AI workloads, including model serving, data access, and agent execution Be working collaboratively with the Data Services and application teams to deliver secure API and data access patterns that enable AI solutions to integrate with enterprise data and business systems Be working collaboratively with Enterprise Architecture to standardize infrastructure as code and automation to reduce manual effort and improve platform resiliency Be working collaboratively with Enterprise Architecture to establish MLOps and platform monitoring practices for AI reliability, cost management, and performance transparency Atkore is a six-time Great Place to Work certified company and a four-time Top Workplaces USA award winner! We're committed to creating an engaged, aligned workforce driven by a collaborative culture. Our team strives for breakthrough results and stays focused on being standout leaders. We consistently live the Atkore mission, strategic priorities, and behaviors consistent with our core values. Join our team and align yourself with an industry leader! As of the date of this posting, a good faith estimate of the current pay for this position is $107,920 - $148,390. Placement in the range depends on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs and may change over time. Other compensation may include, but not limited to, overtime, shift differentials, bonuses, commissions, stock, and other incentives. Benefits available include: Medical, vision, and dental insurance Life insurance Short-term and long-term disability insurance 401k Paid Time Off Paid holidays Any leave required under federal, state, or local law Benefits are subject to vesting and eligibility requirements. Applications are being accepted on an ongoing basis.

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.

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.

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. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. 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 . click apply for full job details

Job Description Job Description Title- Senior Data Architect Location- Oakland, CA or Rancho Cordova, CA. (HYBRID) Position is contract-to-hire. Onsite required 2 days per week in either Oakland, CA or Rancho Cordova, CA. Work Schedule (Shift/Work Hours):Hybrid - 2 days onsite Job Information Job Taxonomy:Expert Data ArchitectJob Title:Senior Data ArchitectJob Category:01894Job Description: Job Description The Senior Data Architect will design and implement scalable data solutions using the latest and advanced technology and toolsets. This role offers the right candidate the rare opportunity to leverage their extensive background to design and architect scalable, secure, and modern cloud-native data solutions. The role will also be responsible for working closely with business partners and IT leadership to understand the organization's business requirements and work with the broader IT team to enable/build new capabilities in our data platform that will support the current needs and scale to accommodate future growth. Responsibilities Lead the design and architecture of end-to-end data solutions, translating business strategy and requirements into scalable, secure, high-performing architectures. Define target-state data architectures and blueprints, including data flows, integration patterns, storage strategies, data processing, and consumption layers. Establish and govern standard architecture patterns for data ingestion, transformation (ETL/ELT), integration, interoperability, and data sharing across platforms and domains. Architect scalable and resilient data pipelines and workflows, optimizing for performance, cost, reliability, and operational efficiency. Design cloud-native data architectures that leverage modern data platforms for elasticity, resilience, modularity, and scalability. Enable AI/ML capabilities through data architectures that support experimentation, feature engineering, model development, deployment, and production consumption. Incorporate data governance, security, privacy, and compliance by design, including access controls, data classification, masking, lineage, and regulatory requirements. Design for interoperability and seamless data exchange across applications, data domains, platforms, and external systems. Lead the evaluation and selection of data technologies and platforms in partnership with IT, Enterprise Architecture, and business stakeholders, ensuring alignment with enterprise capabilities and strategy. Collaborate with Enterprise Architecture, Infrastructure, Application Development, Data Engineering, and business teams to define technology roadmaps, capabilities, and solution strategies. Provide architectural oversight and governance for data solutions and cloud-native data platforms, ensuring adherence to enterprise standards and addressing risks, gaps, dependencies, and architectural trade-offs. Drive innovation through feasibility assessments, POCs, and pilots, evaluating emerging technologies and validating new architectural approaches. Provide architectural oversight for vendor and third-party data solutions, ensuring alignment with enterprise architecture, security, integration, and data standards. Participate in architecture governance forums, contributing to design reviews, architecture decisions, approvals, and continuous improvement of enterprise data architecture. Mentor and guide data architects and engineers, promoting architecture best practices, design excellence, and continued capability development. Qualifications 4 years of experience in modern cloud data architecture or related fields, with a Bachelors degree in Computer Science or a related discipline. Deep understanding of modern data and analytics platforms and technologies, including Snowflake, Matillion, Microsoft Fabric, Power BI, Tableau, and other industry-leading solutions. Proven experience designing and delivering enterprise data solutions, including data warehousing, data lakes, lakehouse architectures, data management, integration, and analytics platforms. Extensive experience architecting end-to-end, scalable data platforms using modern cloud technologies, preferably Microsoft Azure, with experience in cloud-native, hybrid, or multi-cloud architectures. Strong ability to translate business requirements into scalable data architectures and solutions, with excellent communication skills to articulate complex technical concepts to technical and non-technical stakeholders. Strong understanding of data architecture patterns and technology capabilities across ingestion, storage, processing, analytics, APIs, and microservices, with the ability to evaluate and select appropriate technologies. Experience collaborating with vendors and third-party partners to deliver solutions aligned with enterprise architecture, security, and data standards. Strong foundation in data governance, data quality, security, privacy, and regulatory compliance within enterprise data environments. Excellent stakeholder management and communication skills, with the ability to influence decisions, facilitate collaboration, and drive alignment across cross-functional teams. Experience architecting data platforms that enable advanced analytics, AI/ML, MCP, and Generative AI use cases, while maintaining appropriate governance, security, scalability, and performance.

Job Description Job Description Technical Architect - Data Platform Salary Market- (DOE) Kennesaw, GA 30144 (Onsite) Full-Time / Direct-Hire / FTE Experienced Technical Architect (Hands-on) responsible for defining and building the end-to-end architecture of a specialty insurance claims data platform on Microsoft Fabric. Owns the solution design, technology decisions, and implementation of a production-grade Lakehouse and Medallion Architecture, leading data ingestion, transformation, governance, and analytics while actively contributing to development and delivery. 15 years of IT experience, including 10 years in Data Architecture, Data Engineering, and Analytics 3 years of hands-on Microsoft Fabric experience (Mandatory) covering Lakehouse, OneLake, Data Pipelines, Delta Tables, SQL Database/Warehouse, and Medallion Architecture 8 years of Azure Data Platform and Cloud Architecture experience, including integration, governance, security, scalability, and performance optimization 8 years of hands-on Microsoft Fabric experience including Pipelines, Lakehouse, OneLake, Delta Tables, SQL Database/Warehouse, and Medallion Architecture (Bronze/Silver/Gold) 10 years of Azure Cloud Architecture experience, including data integration, governance, security, scalability, and performance optimization 8 years of hands-on SQL and Python development experience; Data Quality, Data Governance, Reconciliation, and Intake Control frameworks 10 years of experience designing enterprise data platforms and layered architectures (Raw, Standardized, Curated) 5 years of experience designing historical data retention and auditability solutions, including record versioning, change tracking, SCD Type 2, and full history preservation 5 years of experience in Master Data Management (MDM), record matching, deduplication, entity resolution, and survivorship rules. 3 years of experience with Azure AI Document Intelligence (Form Recognizer) or equivalent document extraction solutions 5 years of experience designing HIPAA/PHI-compliant healthcare data platforms, including privacy, retention, residency, and access controls. Strong client-facing architecture leadership experience, serving as the primary technical authority and driving architecture, design, and implementation decisions Secondary Skills / Good to have Experience working with insurance claims, healthcare payer, or health-plan data platforms; Experience with Snowflake data platform architecture and implementation; Microsoft Fabric Analytics Engineer, Azure Solutions Architect, or related Microsoft certifications The customer processes 50,000 claims annually across 250 Third-Party Administrators using a fragmented, manual intake stack. The platform you architect will eliminate that friction, automate eligibility workflows, and become the data foundation on which all future AI/ML, BI, and operational capabilities are built. Phase 1 establishes a production-proven foundation on five priority TPAs the architecture you get right here sets the pattern for the full TPA network in subsequent phases. Job / Role Description Architect and design the overall data platform on Microsoft Fabric: how raw files land, how they are standardised, and how the finished data is published for the customer's teams to use Understand the customer s business needs and translate to a technical architecture design Design scalable and configurable data ingestion, transformation, and onboarding frameworks capable of supporting multiple TPA file formats, schema evolution, drift detection, and rapid provider onboarding Define and implement historical data management, auditability, and replayability strategies, ensuring complete record versioning and preservation of historical business data Design how the system recognises the same claimant across different files, years and spellings, using a set of matching rules with human review for the uncertain cases Design how the system will incorporate both OLAP and OLTP processing to meet different use cases. An OLAP process that produces a canonical model for analytics purposes and an OLTP process that feeds the web applications for Eligibility data management, failed file review, and system auditability Design and govern data quality, reconciliation, validation, duplicate detection, exception handling, and intake control frameworks to ensure data accuracy and operational reliability Design and integrate Azure AI Document Intelligence or equivalent solutions for automated extraction and processing of structured, semi-structured, and unstructured data Design and govern the Security and compliance side: who can see what, how sensitive health data is protected, how everything is logged, and how data is retained for seven years Design how the platform copes with roughly ten different file layouts per data provider, so that new layouts can be added by configuration rather than new code Write down every significant technical decision so the design survives beyond any one person; Serve as the primary technical advisor to client architecture, security, platform, and business leadership teams, driving architecture decisions, managing technical risks, and providing clear recommendations on trade-offs and solution direction Design secure operating models that enable global delivery while maintaining compliance with HIPAA and US PHI handling requirements Lead architecture reviews, establish engineering standards, document key design decisions, and provide technical governance across all workstreams Partner with client and delivery teams to define data consumption patterns, integration standards, and modernization roadmaps, ensuring successful program delivery and scope governance Communicate effectively with stakeholders; Use clear verbal, written (emails, documentation), and instant messaging approaches to ensure alignment Build and maintain productive relationships across cross-functional teams; Provide constructive feedback during requirement workshops and be open to stakeholder input Strong analytical mindset to evaluate process flows; Ability to troubleshoot requirement gaps, compliance risks, and process inefficiencies Experience working in Agile/Scrum projects with tools like Jira or Azure DevOps; Provide regular updates, demonstrate proactivity, and show due diligence in carrying out responsibilities Skilled in facilitating workshops, UAT sessions, and requirement walkthroughs; Act as liaison between business and technical teams, ensuring clarity and consensus What Success Looks Like / Expected Outcome Successful delivery and adoption of Phases I of the Claims Management Platform, meeting business objectives, quality standards, and project timelines

Job Description Job Description Indent : SF_OP_208618-1 Role : Data Architect Location : Purchase, NY (Hybrid) Rate: $75 to $80/hr The successful candidate will establish the architectural vision for modernizing data platforms across hybrid cloud and on-premises environments, supporting both high-volume batch processing and low-latency, real-time workloads. This position combines deep hands-on technical expertise with enterprise influence, driving architectural decisions that maximize the value of Client data assets while meeting the highest standards for security, resiliency, compliance, and operational excellence. Role: • Serve as the senior technical leader for enterprise data architecture, partnering closely with the VP and senior technology leadership. • Act as a trusted advisor to executive stakeholders, translating business strategy into scalable, secure, and resilient data architecture decisions. • Define and evolve Client's global data architecture strategy across hybrid cloud and on-premises environments. • Architect secure, resilient solutions that meet global regulatory and compliance mandates, including GDPR, ISO 20022, and regional data localization requirements. • Champion Data Mesh principles, enabling data-as-a-product capabilities, federated ownership, governance, and self-service access. • Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board. • Lead the modernization of legacy data platforms to cloud native architectures across AWS, Azure, and GCP. • Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms. • Enable both real time and batch analytics use cases to support high availability, mission critical workloads. • Evaluate and incorporate emerging technologies, including AI-enabled data platforms and agent-based architectures. • Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking. All About You: • Proven experience as a Principal Engineer, Lead Architect, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy. • Deep expertise designing, building, and operating distributed data systems at global scale. • Strong hands-on experience with technologies such as Apache Spark, Kafka, Flink, NiFi, Databricks, Snowflake, and modern cloud-native data platforms. • Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP. • Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce. • Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments. • Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders. • Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. • Strong executive presence with the ability to translate complex architecture concepts into business language. • Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non-technical audiences. • Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams. • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

Job Description Job Description Summary The Applied AI Specialist uses artificial intelligence to solve practical business problems. The work is applied rather than theoretical: building tooling that assembles reporting from the company's corporate operating systems so that business analytics improve, and developing tools that make each department's day-to-day work move faster and with better information. This is an individual contributor position for someone who can take a defined problem and deliver a working, documented, production-ready solution. The Director of Business Intelligence sets departmental technical standards and carries governance and vendor decisions. Within those standards the person in this seat owns the design of their assigned solution areas. Essential Duties and Responsibilities Applied AI Development Build tooling that assembles reporting from the company's corporate operating systems and provides for better business analytics. Develop artificial intelligence tools that provide for more efficient workflows within each department's function. Design, build, test and deploy agents and assistants that automate research, document review and report preparation. Prototype quickly, measure each result against the process it replaces, and either harden it for production or retire it. Extract structured data from construction documents (drawings, specifications, contracts, submittals, schedules and meeting transcripts) using vision-capable and language models, so that downstream scheduling, estimating, contract and risk tools answer from the project record rather than from general knowledge. Integration & Engineering Write and maintain the integrations required to connect the company's platforms to one another and to artificial intelligence services. Design and maintain retrieval pipelines over company documents and project data, so that tooling answers from the company's own information rather than from general knowledge. Work with the Director on the company data warehouse, including ingestion, modeling and the interfaces that tooling queries against. Maintain source control, environment configuration, testing and deployment practice for everything built. Build and maintain connectors to the company's platforms using open agent protocols (Model Context Protocol or equivalent), reusable agent skills and scheduled agent runs, with a named service account for every integration. Treat the company data warehouse as the primary source for every assistant that reports numbers: tooling queries the governed model maintained by the Business Intelligence & Automation Analyst rather than re-deriving figures from raw files. Evaluation & Production Operations Maintain a golden test set and regression suite for every deployed assistant. No prompt, model or retrieval change ships without passing it, and a failed check is reported, not suppressed. Instrument every assistant with tracing and logging so that each run's inputs, retrieved sources, outputs, latency and cost can be reviewed after the fact. Report monthly, per tool: accuracy against the test set, failure rate, adoption, time saved and API or token spend against the approved budget. Own production support for deployed assistants: monitoring, failure alerting, incident response, a published support path for end users, and a written runbook for each tool. Standards, Governance & Security Apply and help refine the departmental standards for how tools are built, named, versioned, documented and shared inside the company. Build the required guardrails into every deployed tool, covering data handling, confidentiality, output accuracy and the boundary between a recommendation and a human decision. Contribute hands-on testing and written findings to platform and vendor evaluations led by the Director. Partner with Information Technology on security review, access control, licensing and acceptable use, and raise concerns early. Classify data before it reaches any model service. De-identify personnel and compensation data, keep client-confidential material inside approved services only, and confirm vendor data-retention and model-training terms before a new service is used. Route every automated read of company data through named, department-owned service accounts whose activity is logged and reviewed quarterly by the Director and the Executive Vice President. Verify that generated output meets company brand and accuracy standards before it reaches a client. Enablement & Deployment Package tools so that an end user can run them without configuring anything, and distribute them to the teams that need them. Write plain-language documentation for every tool deployed, covering what it does, what it does not do, and when its output should not be trusted. Sit down with a department and establish what they actually need before building anything for them. Measure and report adoption and time saved for each deployed tool. Partner with the company training function on adoption programs, office hours and role-specific training so that deployed tools are used, not just delivered. General Maintain confidentiality of financial, personnel and client information encountered in the course of the work. Stay current on developments in applied artificial intelligence and bring relevant capability to the department's attention. Perform other duties and special projects as assigned. Qualification Requirements The required list is the working foundation a candidate must hold on day one. The preferred list is capability that is welcome on arrival and will otherwise be developed in the role. Required Bachelor's degree in computer science, software engineering, data science, information systems or a related field, or an equivalent combination of education and experience. Three or more years of professional software, data or automation engineering experience. Production experience building against large language model services, including prompt design and tool or function calling. Demonstrated experience building retrieval over a document corpus, including chunking, embedding and relevance evaluation. Demonstrated proficiency in a general-purpose programming language used for integration work, including work with web interfaces, authentication and data transformation. Experience connecting third-party software platforms to one another through their published interfaces. Working proficiency writing queries against a relational database, and a working understanding of data warehouse concepts. Working practice with source control, automated testing and deployment in a team environment. Demonstrated practice building evaluation sets and regression tests for language-model applications, and reporting accuracy and cost over time. Experience operating a language-model application in production, including monitoring, failure alerting and incident response. Ability to judge whether a problem should be solved with artificial intelligence, with conventional automation, or not at all, and to say so plainly. Ability to explain technical work to a non-technical audience. Preferred, not required Experience with vector databases, embedding model selection or document processing at scale. Exposure to data warehouse design or analytics engineering. Experience evaluating artificial intelligence platforms or vendors and writing up the findings. Experience with agent frameworks and open agent protocols (Model Context Protocol or equivalent), including packaging reusable agent skills for non-technical users. Experience extracting structured data from engineering drawings, specifications or contracts using vision-capable models. Familiarity with construction or other project-based operating data: job cost, schedules, submittals, RFIs, change orders, subcontractor bids. Experience with Microsoft 365, Power Platform or SQL Server as an integration surface. Physical Demands Regularly required to sit or stand and walk for extended periods of time, with the occasional ability to stoop or kneel. Must occasionally lift and/or move up to 50 pounds. Vision abilities for this position include close vision as well as distance vision. Ability to repetitiously use hands and fingers to handle or feel and to manipulate keys on a keyboard. Comments This position supports all company offices and active job sites. Employees may be required to travel between Blum's offices or to active job sites as required. Candidates will be asked to walk through examples of their own work during the technical interview. This position has no direct reports. Candidates will be asked to show the evaluation and monitoring approach they used on a production language-model application, not only the application itself. Professional appearance and demeanor required for this position. Benefits Medical Insurance Dental Insurance Vision Insurance 401(k) matching PTO Life Insurance Short Term Disability Gym Reimbursement NOTE: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

Job Summary: The Sr Manager of Digital Transformation will drive the digitization of Pricing processes, enhance contract lifecycle management, and implement tools that improve sales force productivity, pricing accuracy, and contract profitability. The ideal candidate brings a strong mix of pricing process expertise, technology enablement, and change leadership to help accelerate revenue growth, improve customer experience, and drive operational excellence in contract sales. They will partner with cross-functional teams to execute, test and learn, working closely with functional teams (e.g., shared services, sales, merchandising, pricing), technology teams, and Sysco's business units. Responsibilities: Execute against the defined digital transformation roadmap, translating strategies into actionable plans Collaborate with business leaders and functional teams across to scope transformation opportunities, gather business requirements, and ensure alignment on execution plans Lead day-to-day delivery of digital initiatives, coordinating cross-functional project teams to ensure on-time, on-budget, and high-quality execution of transformation workstreams. Support the development of business cases and execution plans for prioritized transformation initiatives, partnering with leadership to assess impact and feasibility Prepare materials and updates for senior leadership reviews, ensuring clear communication of progress, risks, and key decisions Serve as a key liaison between business stakeholders and technology teams, ensuring business needs are clearly translated into system and process solutions Education: Required: Bachelors in an analytical field (e.g., Business, Economics, Engineering) Preferred: MBA or other advanced degree Experience: Required: 5+ years in a corporate setting or contributing to a team in a professional services company in an analytical or strategic role such as Transformation, Strategy, Insights, or Product management Preferred: Wholesale distribution, retail / ecommerce, or CPG experience helpful Skills: Support the development of future state solutions by testing hypotheses, conducting analysis, and synthesizing insights to inform strategic direction defined by leadership. Navigate through ambiguity by identifying key issues, proposing solutions, and driving clear action plans within the team or functional area, with guidance from leadership. Contribute to the development and execution of enterprise strategies by supporting cross-functional alignment and providing insights to leadership. Manage multiple concurrent initiatives with a focus on delivering business impact, balancing priorities, and maintaining a results-oriented mindset. Operate effectively in an agile team environment, collaborating with cross-functional partners to deliver iterative improvements. Make data-driven recommendations by leveraging analytical skills Strong understanding of business value drivers, corresponding business impact, and relationship between use case strategies and business considerations Ability to establish a collaborative work environment that enables a cross-functional team with various backgrounds and capabilities to execute at a high-level Superb verbal, written, and interpersonal skills; fluency interfacing with both technical and management teams and the ability to make complicated analytics and concepts understandable and actionable Physical Demands / Work Environment: Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. Travel: 0 - 25% travel is required

Job Description Job Description Summary The Applied AI Specialist uses artificial intelligence to solve practical business problems. The work is applied rather than theoretical: building tooling that assembles reporting from the company's corporate operating systems so that business analytics improve, and developing tools that make each department's day-to-day work move faster and with better information. This is an individual contributor position for someone who can take a defined problem and deliver a working, documented, production-ready solution. The Director of Business Intelligence sets departmental technical standards and carries governance and vendor decisions. Within those standards the person in this seat owns the design of their assigned solution areas. Essential Duties and Responsibilities Applied AI Development Build tooling that assembles reporting from the company's corporate operating systems and provides for better business analytics. Develop artificial intelligence tools that provide for more efficient workflows within each department's function. Design, build, test and deploy agents and assistants that automate research, document review and report preparation. Prototype quickly, measure each result against the process it replaces, and either harden it for production or retire it. Extract structured data from construction documents (drawings, specifications, contracts, submittals, schedules and meeting transcripts) using vision-capable and language models, so that downstream scheduling, estimating, contract and risk tools answer from the project record rather than from general knowledge. Integration & Engineering Write and maintain the integrations required to connect the company's platforms to one another and to artificial intelligence services. Design and maintain retrieval pipelines over company documents and project data, so that tooling answers from the company's own information rather than from general knowledge. Work with the Director on the company data warehouse, including ingestion, modeling and the interfaces that tooling queries against. Maintain source control, environment configuration, testing and deployment practice for everything built. Build and maintain connectors to the company's platforms using open agent protocols (Model Context Protocol or equivalent), reusable agent skills and scheduled agent runs, with a named service account for every integration. Treat the company data warehouse as the primary source for every assistant that reports numbers: tooling queries the governed model maintained by the Business Intelligence & Automation Analyst rather than re-deriving figures from raw files. Evaluation & Production Operations Maintain a golden test set and regression suite for every deployed assistant. No prompt, model or retrieval change ships without passing it, and a failed check is reported, not suppressed. Instrument every assistant with tracing and logging so that each run's inputs, retrieved sources, outputs, latency and cost can be reviewed after the fact. Report monthly, per tool: accuracy against the test set, failure rate, adoption, time saved and API or token spend against the approved budget. Own production support for deployed assistants: monitoring, failure alerting, incident response, a published support path for end users, and a written runbook for each tool. Standards, Governance & Security Apply and help refine the departmental standards for how tools are built, named, versioned, documented and shared inside the company. Build the required guardrails into every deployed tool, covering data handling, confidentiality, output accuracy and the boundary between a recommendation and a human decision. Contribute hands-on testing and written findings to platform and vendor evaluations led by the Director. Partner with Information Technology on security review, access control, licensing and acceptable use, and raise concerns early. Classify data before it reaches any model service. De-identify personnel and compensation data, keep client-confidential material inside approved services only, and confirm vendor data-retention and model-training terms before a new service is used. Route every automated read of company data through named, department-owned service accounts whose activity is logged and reviewed quarterly by the Director and the Executive Vice President. Verify that generated output meets company brand and accuracy standards before it reaches a client. Enablement & Deployment Package tools so that an end user can run them without configuring anything, and distribute them to the teams that need them. Write plain-language documentation for every tool deployed, covering what it does, what it does not do, and when its output should not be trusted. Sit down with a department and establish what they actually need before building anything for them. Measure and report adoption and time saved for each deployed tool. Partner with the company training function on adoption programs, office hours and role-specific training so that deployed tools are used, not just delivered. General Maintain confidentiality of financial, personnel and client information encountered in the course of the work. Stay current on developments in applied artificial intelligence and bring relevant capability to the department's attention. Perform other duties and special projects as assigned. Qualification Requirements The required list is the working foundation a candidate must hold on day one. The preferred list is capability that is welcome on arrival and will otherwise be developed in the role. Required Bachelor's degree in computer science, software engineering, data science, information systems or a related field, or an equivalent combination of education and experience. Three or more years of professional software, data or automation engineering experience. Production experience building against large language model services, including prompt design and tool or function calling. Demonstrated experience building retrieval over a document corpus, including chunking, embedding and relevance evaluation. Demonstrated proficiency in a general-purpose programming language used for integration work, including work with web interfaces, authentication and data transformation. Experience connecting third-party software platforms to one another through their published interfaces. Working proficiency writing queries against a relational database, and a working understanding of data warehouse concepts. Working practice with source control, automated testing and deployment in a team environment. Demonstrated practice building evaluation sets and regression tests for language-model applications, and reporting accuracy and cost over time. Experience operating a language-model application in production, including monitoring, failure alerting and incident response. Ability to judge whether a problem should be solved with artificial intelligence, with conventional automation, or not at all, and to say so plainly. Ability to explain technical work to a non-technical audience. Preferred, not required Experience with vector databases, embedding model selection or document processing at scale. Exposure to data warehouse design or analytics engineering. Experience evaluating artificial intelligence platforms or vendors and writing up the findings. Experience with agent frameworks and open agent protocols (Model Context Protocol or equivalent), including packaging reusable agent skills for non-technical users. Experience extracting structured data from engineering drawings, specifications or contracts using vision-capable models. Familiarity with construction or other project-based operating data: job cost, schedules, submittals, RFIs, change orders, subcontractor bids. Experience with Microsoft 365, Power Platform or SQL Server as an integration surface. Physical Demands Regularly required to sit or stand and walk for extended periods of time, with the occasional ability to stoop or kneel. Must occasionally lift and/or move up to 50 pounds. Vision abilities for this position include close vision as well as distance vision. Ability to repetitiously use hands and fingers to handle or feel and to manipulate keys on a keyboard. Comments This position supports all company offices and active job sites. Employees may be required to travel between Blum's offices or to active job sites as required. Candidates will be asked to walk through examples of their own work during the technical interview. This position has no direct reports. Candidates will be asked to show the evaluation and monitoring approach they used on a production language-model application, not only the application itself. Professional appearance and demeanor required for this position. Benefits Medical Insurance Dental Insurance Vision Insurance 401(k) matching PTO Life Insurance Short Term Disability Gym Reimbursement NOTE: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

Job Description Job Description Role : Enterprise Data Architect Location : remote Rate : $80/hr Role Summary The Enterprise Data Architect is responsible for defining and evolving the Commonwealth's enterprise information architecture and reusable data products to support transformation and AI priorities. This role partners with business leaders, product and engineering teams and enterprise technology org to identify which information assets should be shared across agencies and which should remain domain specific. The position will define data domains, create data models, ensure data quality, map source to domain and assist in creating contracts to support modernization initiatives and future AI capabilities. The role serves as the bridge between business processes and technical implementation, ensuring that new solutions contribute to a sustainable enterprise data foundation rather than creating additional silos. The ideal candidate possesses a comprehensive understanding of data architecture principles, practical data modeling experience, and deep expertise in data-centric architecture. Key Responsibilities Enterprise Information Architecture Define conceptual and logical data models for common business entities. Establish canonical models and enterprise information standards. Define relationships between enterprise and domain-specific data assets. Design enterprise information architecture that incorporates data classification, privacy, security, and regulatory requirements by design. Modernization Programs Partner with workflow modernization teams (product and engineering) to embed reusable data products into solution designs. Analyze legacy systems and identify information assets suitable for enterprise reuse. Prevent duplication of data structures across applications and agencies. Support data migration strategies and target-state architecture. Data Product Architecture Identify and support design of reusable data products Define schemas, interfaces, metadata and quality requirements Establish product boundaries, stewardship and ownership models. Data Governance and Metadata Establish data architecture principles, data standards, best practices, and guidelines including data catalog, data lineage, observability, security and interoperability Define business definitions and data quality expectations. Platform and Technology Collaboration Work with engineering and platform teams to translate business concepts into technical designs. Partner with cloud, integration and data teams to implement enterprise data products. Promote API-first and product-based approaches to information sharing. AI Enablement Ensure enterprise data products are discoverable, governed and suitable for future AI use cases. Support semantic layers, knowledge graphs and natural language access to enterprise information. Desired Background and Experience Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience Minimum 10 years of experience in data architecture, information architecture or enterprise architecture. 8 years of hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehouse/data marts, MDM concepts and tools At least 5 years of experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCP). Experience working with unstructured data is a plus. Experience working with data security, privacy and regulatory requirements for handling sensitive data Experience in designing and implementing data quality initiatives, including platforms and tooling Demonstrable experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders Ability to work across domains and stakeholders with strong communication skills Proven ability to develop work plans for self, resolve ambiguity and lead teams without authority Industry Experience in Public sector, Healthcare or Financial Services is preferable Candidates may have previously served as Principal Architect, Enterprise Information Architect, Solution Architect for large enterprises or modernization initiatives Success Measures During the first year, this role will Establish enterprise information architecture principles. Define reusable enterprise data products for priority domains. Support specific modernization initiatives as a model implementation. Introduce metadata and ownership standards. Enable future modernization efforts to reuse common data assets rather than recreating them. Client the foundation for enterprise analytics and AI capabilities across the Commonwealth.

Job Description Job Description Indent : SF_OP_208618-1 Role : Principal Data Architect Location : Purchase, NY (Hybrid) Rate: $80 to $85/hr Experience : 15 The successful candidate will establish the architectural vision for modernizing data platforms across hybrid cloud and on-premises environments, supporting both high-volume batch processing and low-latency, real-time workloads. This position combines deep hands-on technical expertise with enterprise influence, driving architectural decisions that maximize the value of Client data assets while meeting the highest standards for security, resiliency, compliance, and operational excellence. Role: • Serve as the senior technical leader for enterprise data architecture, partnering closely with the VP and senior technology leadership. • Act as a trusted advisor to executive stakeholders, translating business strategy into scalable, secure, and resilient data architecture decisions. • Define and evolve Client's global data architecture strategy across hybrid cloud and on-premises environments. • Architect secure, resilient solutions that meet global regulatory and compliance mandates, including GDPR, ISO 20022, and regional data localization requirements. • Champion Data Mesh principles, enabling data-as-a-product capabilities, federated ownership, governance, and self-service access. • Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board. • Lead the modernization of legacy data platforms to cloud native architectures across AWS, Azure, and GCP. • Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms. • Enable both real time and batch analytics use cases to support high availability, mission critical workloads. • Evaluate and incorporate emerging technologies, including AI-enabled data platforms and agent-based architectures. • Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking. All About You: • Proven experience as a Principal Engineer, Lead Architect, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy. • Deep expertise designing, building, and operating distributed data systems at global scale. • Strong hands-on experience with technologies such as Apache Spark, Kafka, Flink, NiFi, Databricks, Snowflake, and modern cloud-native data platforms. • Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP. • Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce. • Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments. • Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders. • Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. • Strong executive presence with the ability to translate complex architecture concepts into business language. • Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non-technical audiences. • Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams. • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

Job Description Job Description Join Sky Solutions, LLC - Pioneering Digital Transformation Excellence! Sky Solutions is a trusted partner in government contracting, empowering federal agencies with cutting-edge IT solutions. Our expertise spans AI-first enablement, delivering innovative solutions and advanced cybersecurity, fortifying digital ecosystems against emerging threats and digital transformation through low-code/no-code development, cloud solutions, and agile methodologies. We simplify complex processes and deliver breakthrough results for federal clients across healthcare, financial services, and national security. Technical Architect - Enterprise Modernization, AI & Automation Location: Tysons Corner, VA (Hybrid) Employment Type: Full-Time Position Overview Sky Solutions LLC is seeking a highly experienced Technical Architect to support a federal digital transformation initiative associated with the DOJ Office of Justice Programs (OJP). The ideal candidate will lead enterprise architecture, application modernization, cloud-native solution design, and the adoption of AI-driven automation technologies to improve mission outcomes and operational efficiency. This role requires a strategic and hands-on technology leader who can translate complex business and mission requirements into secure, scalable architecture roadmaps while guiding the adoption of emerging technologies across enterprise federal environments. Key Responsibilities Design and oversee modern, cloud-native, microservices-based, low-code/no-code, and API-first architectures that enable digital transformation, scalability, and interoperability with federal systems and external partners. Lead enterprise application modernization initiatives, including legacy system transformation, cloud migration, workflow orchestration, and integration modernization. Champion the adoption of Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and Intelligent Automation, including Robotic Process Automation (RPA), to improve mission outcomes and enable data-driven decision-making. Evaluate and architect AI-enabled solutions using cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform (GCP), as well as federated and on-premises model deployment frameworks. Conduct proofs of concept (PoCs), pilots, and technical assessments for emerging technologies, including Generative AI copilots, AI-driven analytics, and intelligent process automation. Identify opportunities to apply AI and low-code/no-code platforms to automate business processes, modernize legacy environments, and improve operational efficiency. Develop enterprise architecture strategies, target-state architectures, technology roadmaps, reference architectures, and implementation plans aligned with business objectives. Collaborate with business leaders, government stakeholders, and IT teams to translate mission needs into actionable technical solutions. Establish architecture standards, integration patterns, security principles, and technology governance practices across development teams. Ensure architecture incorporates security, privacy, accessibility, interoperability, performance, scalability, and maintainability requirements. Provide technical leadership across engineering, DevSecOps, data, cybersecurity, and application development teams. Assess emerging technologies, architectural risks, and implementation trade-offs, providing recommendations to executive, technical, and mission stakeholders. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline; equivalent experience may be considered. 10+ years of progressive experience in enterprise architecture, solution architecture, or large-scale technology solution design. At least 5 years of experience leading large-scale application modernization, AI/automation, or digital transformation initiatives in federal government environments. Demonstrated experience designing enterprise-scale architectures involving cloud-native applications, microservices, APIs, and distributed systems. Experience developing architecture roadmaps and translating innovation strategies into actionable implementation plans. Experience evaluating and implementing AI/ML, Generative AI, intelligent automation, or workflow automation solutions. Experience with one or more major cloud platforms: AWS, Microsoft Azure, or GCP. Understanding of enterprise integration, API management, data architecture, identity and access management, and secure software development. Demonstrated ability to communicate complex technical concepts to executive leadership, technical teams, and mission stakeholders. Strong architectural governance, technical decision-making, problem-solving, and stakeholder management skills. Preferred Qualifications Experience supporting DOJ, OJP, or other federal civilian agency programs. Familiarity with grants-management, case-management, or workflow-intensive enterprise platforms. Experience with low-code/no-code platforms, business process management, workflow orchestration, and RPA technologies. Experience designing AI-enabled architectures, including Generative AI applications, enterprise copilots, retrieval-augmented generation (RAG), and AI-driven analytics. Familiarity with federated AI architectures, hybrid cloud deployments, and on-premises model hosting. Knowledge of federal cybersecurity and compliance frameworks, including applicable NIST standards, FedRAMP requirements, and Section 508 accessibility. Experience with responsible AI practices, including data protection, model governance, access controls, and AI output validation. Relevant cloud, enterprise architecture, AI, or automation certifications. Success in This Role Delivery of practical, secure, and scalable enterprise architecture roadmaps. Successful modernization of legacy applications and business processes. Effective adoption of AI-enabled capabilities and intelligent automation where they provide measurable value. Improved interoperability, operational efficiency, maintainability, and alignment with federal mission objectives. Compensation : The expected compensation range for this position is $118,890 - $201,014 annually. Compensation is determined in good faith and may vary based on job-related factors, including relevant experience, skills, education, certifications, clearance level, labor category alignment, contract requirements, work location, internal equity, and business needs. The posted range reflects the Sky's reasonable estimate at the time of posting and does not guarantee a specific salary or rate. Final compensation will be determined based on the selected candidate's qualifications and applicable contractual and business considerations. Sky Solutions Benefits & Culture at a Glance Healthcare & Wellness Medical, dental, and vision coverage tailored to your needs. Supplemental options like life insurance, disability, HSA/FSA available. Time Off & Work-Life Balance Starting at 15 PTO days per year, increasing with tenure. Plus 11 paid holidays to recharge and spend time with loved ones. Professional Growth & Development Annual education stipend. Access to thousands of online courses. Formal mentorship programs for career advancement. Inclusive Culture "One Team" mentality focused on collaboration and belonging. Recognized as a Great Place to Work for six years straight. To learn more about life at Sky Solutions, visit our Careers page: Careers - Sky Solutions

Job Description Job Description Title: Enterprise Data Architect Location: Harrisburg - PA Duration: 4 Months Note: Hybrid - one day weekly (Tue, Wed or Thursday) in office 607 South Drive, Forum Building 5th floor, Harrisburg Interview type: Screening with hiring manager, virtual interview with 2more people, final in person at Harrisburg Job Description: Role Summary The Enterprise Data Architect is responsible for defining and evolving the Commonwealth's enterprise information architecture and reusable data products to support transformation and AI priorities. This role partners with business leaders, product and engineering teams and enterprise technology org to identify which information assets should be shared across agencies and which should remain domain specific. The position will define data domains, create data models, ensure data quality, map source to domain and assist in creating contracts to support modernization initiatives and future AI capabilities. The role serves as the bridge between business processes and technical implementation, ensuring that new solutions contribute to a sustainable enterprise data foundation rather than creating additional silos. The ideal candidate possesses a comprehensive understanding of data architecture principles, practical data modeling experience, and deep expertise in data-centric architecture. Key Responsibilities: Enterprise Information Architecture Define conceptual and logical data models for common business entities. Establish canonical models and enterprise information standards. Define relationships between enterprise and domain-specific data assets. Design enterprise information architecture that incorporates data classification, privacy, security, and regulatory requirements by design. Modernization Programs Partner with workflow modernization teams (product and engineering) to embed reusable data products into solution designs. Analyze legacy systems and identify information assets suitable for enterprise reuse. Prevent duplication of data structures across applications and agencies. Support data migration strategies and target-state architecture. Data Product Architecture Identify and support design of reusable data products Define schemas, interfaces, metadata and quality requirements Establish product boundaries, stewardship and ownership models. Data Governance and Metadata Establish data architecture principles, data standards, best practices, and guidelines including data catalog, data lineage, observability, security and interoperability Define business definitions and data quality expectations. Platform and Technology Collaboration Work with engineering and platform teams to translate business concepts into technical designs. Partner with cloud, integration and data teams to implement enterprise data products. Promote API-first and product-based approaches to information sharing. AI Enablement Ensure enterprise data products are discoverable, governed and suitable for future AI use cases. Support semantic layers, knowledge graphs and natural language access to enterprise information. Desired Background and Experience Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience Minimum 10 years of experience in data architecture, information architecture or enterprise architecture. 8 years of hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehouse/data marts, MDM concepts and tools At least 5 years of experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCP). Experience working with unstructured data is a plus. Experience working with data security, privacy and regulatory requirements for handling sensitive data Experience in designing and implementing data quality initiatives, including platforms and tooling Demonstrable experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders Ability to work across domains and stakeholders with strong communication skills Proven ability to develop work plans for self, resolve ambiguity and lead teams without authority Industry Experience in Public sector, Healthcare or Financial Services is preferable Candidates may have previously served as Principal Architect, Enterprise Information Architect, Solution Architect for large enterprises or modernization initiatives Success Measures During the first year, this role will Establish enterprise information architecture principles. Define reusable enterprise data products for priority domains. Support specific modernization initiatives as a model implementation. Introduce metadata and ownership standards. Enable future modernization efforts to reuse common data assets rather than recreating them. Client the foundation for enterprise analytics and AI capabilities across the Commonwealth. Required / Desired Skills: experience in data architecture, information architecture or enterprise architecture. hands-on experience in data architecture, data engineering, or advanced database design, modeling experience in designing or implementing data warehou experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud-based ecosystems (AWS, Azure, GCP experience working with data security, privacy and regulatory requirements for handling sensitive data experience in designing and implementing data quality initiatives, including platforms and tooling experience supporting large-scale modernization or digital transformation initiatives across multiple domains and stakeholders

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

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.