969 jobs found

Job Description Job Description Job Title: Senior MES Consultant Location : Kilbourn, IL , (Onsite 100%) Duration : 6 months Salary Range: $72.00 - $75.00/Hour on W2 (Without Benefits). Applicants must be willing to work on W2. Must Have Technical/Functional Skills: Must Have 7+ years of Experience in OT/IoT Security. Good understanding of OT (Operational Technology) environments in manufacturing plants. Hands-on experience with: OPC UA / OPC DA,PLC Integration, SCADA Systems, Historian Systems, Industrial Automation Networks, UNS Knowledge of ISA-95, ISA-88, and MESA standards. Strong understanding of Manufacturing Operations: Production, Quality, Performance/OEE, Material Tracking & Genealogy, Electronic Batch Records Ability to troubleshoot OT connectivity issues between PLC, SCADA, OPC and MES systems. Experience in MES implementation lifecycle including Requirements, Design, Configuration, Testing, Deployment and Hypercare. Roles & Responsibilities: Lead MES-OT integration activities with PLCs, SCADA, Historians and plant equipment. Support development of interfaces between MES, SAP, UNS and other enterprise system Drive OT data enablement from shop-floor systems up to MES. Configure and validate OPC UA connectivity and tag mapping. Work closely with plant automation, IT and OT teams to resolve integration issues. Support SIT, UAT, FAT and Go-Live activities Ensure successful deployment and commissioning of MES solutions. Identify opportunities for process improvement, automation and operational efficiency. Coordinate with factory SMEs, OT engineers, automation vendors and business users. Participate in requirement workshops, design reviews and project governance meetings. Prepare technical documentation including HLD, LLD, Interface Design and Deployment Guides.

Job Description Job Description Pay Rate Range: $ 49.29 - 53.03/hr. Job Title: Senior Guidewire Technical Lead / Lead Developer Job Description: We are seeking a highly skilled Guidewire Technical Lead Developer with extensive experience in Guidewire PolicyCenter (PC), BillingCenter (BC), and ClaimCenter (CC) implementations and enhancements. The ideal candidate will provide technical leadership, solution design, architecture guidance, and hands-on development support for enterprise-scale Guidewire transformation programs. This role requires deep expertise in Guidewire application architecture, integrations, configuration, cloud modernization, and Agile delivery methodologies. The Technical Lead will collaborate with business stakeholders, architects, developers, QA teams, and product owners to deliver scalable, secure, and high-performing insurance solutions. SKILLS_REQUIRED Technical Leadership Lead end-to-end design, development, and implementation of Guidewire solutions across PolicyCenter, BillingCenter, and ClaimCenter. Define technical architecture, development standards, coding best practices, and design patterns. Provide technical mentoring and guidance to development teams. Conduct code reviews and ensure adherence to Guidewire development standards. Drive solution design discussions and technical decision-making. Guidewire Development Develop and configure Guidewire applications using: Gosu Guidewire APIs PCF Configuration Business Rules Workflows Product Model Data Model Extensions Batch Processes Integration Frameworks Design and develop custom extensions and enhancements. Configure underwriting, policy lifecycle, billing, and claims workflows. Guidewire Product Expertise Guidewire PolicyCenter Product Modeling Underwriting Rules Rating Integration Policy Issuance Endorsements Renewals Cancellations Producer Management Guidewire BillingCenter Billing Plans Payment Processing Invoicing Collections Delinquency Management Commission Management Refund Processing Guidewire ClaimCenter FNOL (First Notice of Loss) Claim Lifecycle Management Reserves and Recoveries Payments and Settlements Subrogation Fraud Detection Integrations Claims Workflow Automation Integration & Cloud Engineering Design and develop REST/SOAP integrations between Guidewire and enterprise platforms. Lead integration efforts with: Policy Administration Systems Payment Gateways CRM Systems Document Management Systems Data Lakes and Reporting Platforms Third-Party Insurance Vendors Develop microservices using Java/Spring Boot. Support Guidewire Cloud implementations and migrations. Build secure API integrations and event-driven architectures. Delivery & Project Leadership Estimate development effort and support release planning. Coordinate onshore/offshore development teams. Track technical risks, issues, and dependencies. Participate in sprint planning, backlog grooming, architecture reviews, and release planning. Drive successful delivery of Guidewire implementation and modernization projects. Quality & DevOps Define CI/CD best practices for Guidewire deployments. Improve test automation coverage and code quality. Support environment management, performance tuning, and production deployments. Troubleshoot complex production issues and provide root cause analysis. ESSENTIAL_SKILLS Required Technical Skills Guidewire Platforms Guidewire PolicyCenter Guidewire BillingCenter Guidewire ClaimCenter Guidewire Integration Framework Guidewire Cloud Platform Programming Languages Gosu Java Spring Boot Python Integration Technologies REST APIs SOAP Services JSON/XML Kafka Databases Oracle SQL Server PostgreSQL Cloud & DevOps AWS Azure Docker Kubernetes Jenkins GitHub/GitLab CI/CD Pipelines Tools Jira Confluence SonarQube Postman" DESIRABLE_SKILLS Guidewire Certified Associate Developer Guidewire Certified Professional Developer Guidewire PolicyCenter Certification Guidewire BillingCenter Certification Guidewire ClaimCenter Certification AWS Solutions Architect Associate Certified Scrum Master (CSM) Guidewire PolicyCenter GW BillingCenter & GW ClaimCenterJava/Spring Boot/PythonGuidewire Tech Lead Skills: Digital : Guidewire PolicyCenter Guidewire : BillingCenter - Domain Experience Required: 8-10 years Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNDigital : Guidewire PolicyCenterYes1>7 years

Job Description Job Description Job Title AI Testing Specialist Location Hybrid / Remote Employment Type Full-time Job Summary We are seeking an AI Testing Specialist to ensure the quality, reliability, security, and performance of AI-powered applications, machine learning models, and generative AI solutions. The ideal candidate will develop and execute comprehensive testing strategies for AI systems, validate model outputs, assess AI-specific risks, and collaborate with cross-functional teams to deliver high-quality AI products. Key Responsibilities Design and execute test strategies for AI, machine learning, and generative AI applications. Create and maintain test plans, test cases, and test data for AI features and workflows. Validate AI model outputs for accuracy, consistency, relevance, factuality, and reliability. Evaluate AI systems for hallucinations, bias, toxicity, fairness, and robustness. Perform functional, regression, integration, API, end-to-end, performance, usability, and security testing. Test prompt-based applications and optimize prompts for consistent results. Develop automated testing frameworks for AI applications and APIs. Verify data quality, preprocessing pipelines, and model inputs. Conduct stress, load, and scalability testing for AI services. Identify, document, prioritize, and track defects using bug management tools. Collaborate with AI engineers, data scientists, software developers, product managers, and UX teams. Monitor production AI systems and support continuous quality improvement. Prepare test reports, quality metrics, and release recommendations. Ensure compliance with organizational AI governance, security, privacy, and regulatory requirements. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field. 3 5 years of experience in software testing, QA, or AI testing. Strong understanding of software testing methodologies and quality assurance principles. Experience testing APIs, web applications, and cloud-based systems. Familiarity with AI, machine learning, and generative AI concepts. Experience working in Agile or Scrum environments. Preferred Qualifications Experience testing Large Language Model (LLM) applications. Knowledge of prompt engineering and AI evaluation methodologies. Experience with Responsible AI practices and AI governance. AI, cloud, or software testing certifications. Experience with MLOps workflows and model lifecycle management. Technical Skills Manual and automated testing Test planning and execution API testing (Postman, REST Assured) Automation frameworks (Selenium, Playwright, Cypress) Programming (Python, Java, JavaScript, or C#) SQL and database validation Git and CI/CD tools Test management tools (Jira, TestRail, Zephyr) Performance testing (JMeter, k6, LoadRunner) AI model evaluation techniques Prompt engineering LLM testing and validation AI safety testing (hallucinations, bias, toxicity, prompt injection, jailbreak resistance) Data validation and preprocessing verification JSON, REST APIs, and cloud platforms (AWS, Azure, Google Cloud) Soft Skills Analytical and critical thinking Strong attention to detail Problem-solving Effective communication Collaboration across multidisciplinary teams Documentation and reporting Adaptability Time management Continuous learning Preferred Experience AI-powered enterprise applications Conversational AI and chatbots Generative AI products Machine learning platforms Retrieval-Augmented Generation (RAG) systems SaaS and cloud-native applications Healthcare, finance, retail, or other regulated industries Success Metrics Test coverage and automation coverage Defect detection and prevention rate AI response quality and reliability Reduction in production defects Model evaluation accuracy Compliance with AI quality and governance standards Release readiness and stability Customer satisfaction and user experience Test execution efficiency Nice-to-Have Skills AI evaluation frameworks (DeepEval, Ragas, LangSmith, Promptfoo) LangChain or similar AI orchestration frameworks Vector databases Docker and Kubernetes MLOps tools (MLflow, Kubeflow, SageMaker) Explainable AI (XAI) concepts Data annotation and synthetic data generation Accessibility testing Security testing for AI systems

Job Description Job Description Proconex is the exclusive Emerson Impact Partner for Emerson Automation Solutions in the Mid-Atlantic region. We provide a full portfolio of Process Automation Control Systems, Valves and Control Devices, and related technologies and services to a range of customers-in the Life Sciences, Chemical, Power, Refining, Oil & Gas, Food & Beverage, Paper, Metals, and other industries, as well as commercial enterprises and campus facilities. With three strategically located offices, Proconex maintains a deep dedication to its 200+ employees, a sharp focus on safety and quality, and the drive to deliver. Job Overview The Product Manager, AI Platforms is responsible for defining, prioritizing, and advancing product strategy across Linque's industrial intelligence ecosystem, including AIME, Mobius, VisionAI, AI-enabled verification, AI-Ops/Agentic AI, and related platform capabilities. This individual will serve as the primary Product Owner for VisionAI and a strategic leader across the broader platform portfolio, translating customer needs, market insights, competitive intelligence, and business priorities into product roadmaps, requirements, release plans, and commercialization strategies. Working closely with engineering, AI platform leadership, quality, sales, business development, and customer-facing teams, the Product Manager will drive VisionAI market readiness, productization efforts, customer adoption, and long-term platform growth. Success in this role requires strong customer empathy, commercial judgment, strategic communication skills, and the ability to influence cross-functional stakeholders without direct authority. This role brings a structured approach to problem solving, balances customer needs with technical feasibility and business value, and exists in a fast-paced environment where priorities evolve and rapid iteration are required. Key Responsibilities Product Strategy, Roadmap & Governance Own and maintain the product roadmap across the AIME/Mobius ecosystem and related platform capabilities, balancing long-term platform direction with near-term commercial priorities. Translate business strategy, customer requirements, and market needs into product themes, epics, user stories, release priorities, and measurable outcomes. Establish product governance processes for roadmap decisions, prioritization, release planning, and cross-functional alignment. Define boundaries between platform capabilities, configurable features, customer-specific development, and service offerings. Align product investments with recurring revenue growth, customer adoption, implementation scalability, and long-term competitive positioning. Voice of Customer, Market Intelligence & Competitive Positioning Serve as the primary owner of customer, prospect, pilot, sales, support, implementation, and partner feedback. Monitor industry trends, customer buying behaviors, competitive offerings, technology advancements, and emerging opportunities across industrial software, VisionAI, AI-enabled verification, and connected operations. Translate customer and commercial feedback into actionable product priorities, roadmap decisions, packaging considerations, and market opportunities. Maintain a strong understanding of customer personas, use cases, buying criteria, value propositions, and operational pain points. Develop and maintain competitive intelligence that informs product strategy, differentiation, commercialization, and positioning. VisionAI Product Development & Market Readiness Lead initiatives to define, validate, and scale VisionAI product offerings, converting customer pilots and emerging opportunities into repeatable, commercially viable solutions. Define VisionAI requirements, MVP scope, roadmap priorities, release readiness criteria, and commercialization milestones. Support productization of applications such as foam detection, visual inspection, AI-enabled verification, and industrial quality monitoring. Partner with engineering, AI platform, quality, and commercial teams to ensure VisionAI offerings are scalable, supportable, and aligned with customer requirements. Position VisionAI as both a standalone solution and an integrated capability within the broader AIME/Mobius ecosystem. Cross-Functional Product Execution Partner with software, AI platform, and engineering leaders to align product strategy with technical architecture, platform capabilities, engineering capacity, and delivery sequencing. Support backlog refinement, sprint planning, requirements clarification, and acceptance criteria definition to ensure successful execution against roadmap priorities. Collaborate closely with Sales, Marketing, Customer Success, Support, Quality, and Operations teams to ensure products can be effectively sold, implemented, supported, and scaled. Facilitate tradeoff decisions balancing customer requests, revenue opportunities, scalability, technical debt, quality and compliance requirements, and long-term product strategy. Communicate roadmap priorities, product decisions, risks, dependencies, and release expectations across stakeholders. Product Commercialization & Sales Enablement Develop product positioning, buyer personas, use cases, value propositions, messaging, and market narratives for AIME, Mobius, VisionAI, and related offerings. Support customer discovery, demonstrations, pilots, proof-of-concept initiatives, proposal development, and strategic sales pursuits. Create product briefs, release notes, enablement materials, launch plans, pricing inputs, product packaging concepts, and customer-facing collateral. Ensure product packaging and commercialization strategies consider implementation complexity, support readiness, scalability, and customer adoption requirements. Represent Linque's product organization in customer meetings, partner engagements, industry events, and internal strategic planning activities. Basic Qualifications Bachelor's degree in Engineering, Computer Science, Business, Product Management, or a related field or equivalent experience. 5+ years of experience in product management, product strategy, software product ownership, industrial software, AI-enabled products, automation technology, manufacturing technology, or related technical-commercial roles. 2+ years of experience translating customer needs, market insights, and technical constraints into product roadmaps, requirements, release plans, and commercialization priorities. 2+ years of experience collaborating with software engineering, AI/ML, data, platform, hardware, automation, or industrial technology teams. 2+ years of experience with product roadmapping, prioritization, backlog management, and agile product execution. 2+ years of experience gathering and synthesizing Voice of Customer feedback, market intelligence, and competitive insights. 2+ years of experience supporting product launches, commercialization efforts, sales enablement activities, customer discovery, or go-to-market initiatives. Preferred Qualifications Advanced degree in Engineering, Computer Science, Business, Product Management, or a related discipline. Experience supporting software products within industrial manufacturing, infrastructure, energy, utilities, pharmaceutical, life sciences, or other mission-critical environments. Life sciences, GMP-regulated, validation-oriented, or quality-focused manufacturing experience. Experience with VisionAI, machine vision, computer vision, AI-enabled verification, applied AI, or industrial AI solutions. Experience with hardware-enabled software, edge deployments, industrial cameras, sensors, automation systems, or connected plant-floor technologies. Experience supporting cloud, on-premises, and edge deployment models. Experience developing competitive intelligence, product packaging, pricing strategies, commercialization frameworks, and sales enablement programs. Proven track record of building strong relationships across technical and commercial teams while effectively representing products in customer-facing and executive-level environments. We are proud to be an employee-owned organization. Through our ESOP, every team member shares in the growth and success of the company, fostering a culture of collaboration, accountability, and long-term rewards. Proconex offers a standout culture, fantastic work environment, and has very competitive benefits to include premium medical, 401K match, tuition reimbursement, and other unique incentives. When receiving e-mails from a Proconex or Valspec recruiter, you will only receive e-mails from addresses ending Any other domains are impersonations and should be ignored. Candidates must be legally eligible to work in the United States without company sponsorship. Also, we are not interested in working on a corp-to-corp basis with other companies at this time. Any third-party unsolicited resume submission(s) will immediately become the property of Proconex. Proconex will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established. Proconex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, sexual orientation, gender identity, disability . click apply for full job details

Job Description Job Description Proconex is the exclusive Emerson Impact Partner for Emerson Automation Solutions in the Mid-Atlantic region. We provide a full portfolio of Process Automation Control Systems, Valves and Control Devices, and related technologies and services to a range of customers-in the Life Sciences, Chemical, Power, Refining, Oil & Gas, Food & Beverage, Paper, Metals, and other industries, as well as commercial enterprises and campus facilities. With three strategically located offices, Proconex maintains a deep dedication to its 200+ employees, a sharp focus on safety and quality, and the drive to deliver. Job Overview The Product Manager, AI Platforms is responsible for defining, prioritizing, and advancing product strategy across Linque's industrial intelligence ecosystem, including AIME, Mobius, VisionAI, AI-enabled verification, AI-Ops/Agentic AI, and related platform capabilities. This individual will serve as the primary Product Owner for VisionAI and a strategic leader across the broader platform portfolio, translating customer needs, market insights, competitive intelligence, and business priorities into product roadmaps, requirements, release plans, and commercialization strategies. Working closely with engineering, AI platform leadership, quality, sales, business development, and customer-facing teams, the Product Manager will drive VisionAI market readiness, productization efforts, customer adoption, and long-term platform growth. Success in this role requires strong customer empathy, commercial judgment, strategic communication skills, and the ability to influence cross-functional stakeholders without direct authority. This role brings a structured approach to problem solving, balances customer needs with technical feasibility and business value, and exists in a fast-paced environment where priorities evolve and rapid iteration are required. Key Responsibilities Product Strategy, Roadmap & Governance Own and maintain the product roadmap across the AIME/Mobius ecosystem and related platform capabilities, balancing long-term platform direction with near-term commercial priorities. Translate business strategy, customer requirements, and market needs into product themes, epics, user stories, release priorities, and measurable outcomes. Establish product governance processes for roadmap decisions, prioritization, release planning, and cross-functional alignment. Define boundaries between platform capabilities, configurable features, customer-specific development, and service offerings. Align product investments with recurring revenue growth, customer adoption, implementation scalability, and long-term competitive positioning. Voice of Customer, Market Intelligence & Competitive Positioning Serve as the primary owner of customer, prospect, pilot, sales, support, implementation, and partner feedback. Monitor industry trends, customer buying behaviors, competitive offerings, technology advancements, and emerging opportunities across industrial software, VisionAI, AI-enabled verification, and connected operations. Translate customer and commercial feedback into actionable product priorities, roadmap decisions, packaging considerations, and market opportunities. Maintain a strong understanding of customer personas, use cases, buying criteria, value propositions, and operational pain points. Develop and maintain competitive intelligence that informs product strategy, differentiation, commercialization, and positioning. VisionAI Product Development & Market Readiness Lead initiatives to define, validate, and scale VisionAI product offerings, converting customer pilots and emerging opportunities into repeatable, commercially viable solutions. Define VisionAI requirements, MVP scope, roadmap priorities, release readiness criteria, and commercialization milestones. Support productization of applications such as foam detection, visual inspection, AI-enabled verification, and industrial quality monitoring. Partner with engineering, AI platform, quality, and commercial teams to ensure VisionAI offerings are scalable, supportable, and aligned with customer requirements. Position VisionAI as both a standalone solution and an integrated capability within the broader AIME/Mobius ecosystem. Cross-Functional Product Execution Partner with software, AI platform, and engineering leaders to align product strategy with technical architecture, platform capabilities, engineering capacity, and delivery sequencing. Support backlog refinement, sprint planning, requirements clarification, and acceptance criteria definition to ensure successful execution against roadmap priorities. Collaborate closely with Sales, Marketing, Customer Success, Support, Quality, and Operations teams to ensure products can be effectively sold, implemented, supported, and scaled. Facilitate tradeoff decisions balancing customer requests, revenue opportunities, scalability, technical debt, quality and compliance requirements, and long-term product strategy. Communicate roadmap priorities, product decisions, risks, dependencies, and release expectations across stakeholders. Product Commercialization & Sales Enablement Develop product positioning, buyer personas, use cases, value propositions, messaging, and market narratives for AIME, Mobius, VisionAI, and related offerings. Support customer discovery, demonstrations, pilots, proof-of-concept initiatives, proposal development, and strategic sales pursuits. Create product briefs, release notes, enablement materials, launch plans, pricing inputs, product packaging concepts, and customer-facing collateral. Ensure product packaging and commercialization strategies consider implementation complexity, support readiness, scalability, and customer adoption requirements. Represent Linque's product organization in customer meetings, partner engagements, industry events, and internal strategic planning activities. Basic Qualifications Bachelor's degree in Engineering, Computer Science, Business, Product Management, or a related field or equivalent experience. 5+ years of experience in product management, product strategy, software product ownership, industrial software, AI-enabled products, automation technology, manufacturing technology, or related technical-commercial roles. 2+ years of experience translating customer needs, market insights, and technical constraints into product roadmaps, requirements, release plans, and commercialization priorities. 2+ years of experience collaborating with software engineering, AI/ML, data, platform, hardware, automation, or industrial technology teams. 2+ years of experience with product roadmapping, prioritization, backlog management, and agile product execution. 2+ years of experience gathering and synthesizing Voice of Customer feedback, market intelligence, and competitive insights. 2+ years of experience supporting product launches, commercialization efforts, sales enablement activities, customer discovery, or go-to-market initiatives. Preferred Qualifications Advanced degree in Engineering, Computer Science, Business, Product Management, or a related discipline. Experience supporting software products within industrial manufacturing, infrastructure, energy, utilities, pharmaceutical, life sciences, or other mission-critical environments. Life sciences, GMP-regulated, validation-oriented, or quality-focused manufacturing experience. Experience with VisionAI, machine vision, computer vision, AI-enabled verification, applied AI, or industrial AI solutions. Experience with hardware-enabled software, edge deployments, industrial cameras, sensors, automation systems, or connected plant-floor technologies. Experience supporting cloud, on-premises, and edge deployment models. Experience developing competitive intelligence, product packaging, pricing strategies, commercialization frameworks, and sales enablement programs. Proven track record of building strong relationships across technical and commercial teams while effectively representing products in customer-facing and executive-level environments. We are proud to be an employee-owned organization. Through our ESOP, every team member shares in the growth and success of the company, fostering a culture of collaboration, accountability, and long-term rewards. Proconex offers a standout culture, fantastic work environment, and has very competitive benefits to include premium medical, 401K match, tuition reimbursement, and other unique incentives. When receiving e-mails from a Proconex or Valspec recruiter, you will only receive e-mails from addresses ending Any other domains are impersonations and should be ignored. Candidates must be legally eligible to work in the United States without company sponsorship. Also, we are not interested in working on a corp-to-corp basis with other companies at this time. Any third-party unsolicited resume submission(s) will immediately become the property of Proconex. Proconex will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established. Proconex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, sexual orientation, gender identity, disability . click apply for full job details

Job Description Job Description We are looking for a Product Owner who wants to shape a product, not administer a backlog. In this role you will own what our development team builds and why, for the Salesforce Health Cloud solutions that power a fast-growing patient services business. You will help shape the roadmap alongside our Innovation and Implementation leaders, then carry it all the way through to working software that clients and patient-facing teams actually use. This is a decision-making seat on a small, fast-moving team. There is no room for ambiguity: you set priority, you resolve the open questions blocking a build, and you say no when something does not fit. You will also work as part of a broader technology organization, partnering with our AI Lead, data team, and IT operations group to make sure solutions fit the platform rather than bolt onto it. We expect you to work with AI, not around it. The team runs on Jira, Confluence, and Rovo and uses Claude, Claude Code, and Agentforce Vibes in its daily practice. Used well, these tools take the drafting burden out of stories, specifications, and test scenarios so your time goes where it matters most: discovery with the business, hard prioritization calls, and validating that what we built solves the actual problem. Success in this role is shared. You will own product outcomes - what shipped and whether it works - and share accountability with the Innovation and Impact team for what happens after go-live: adoption, efficiency gains, and measurable return. The Delivery Manager owns delivery flow and predictability. All of it in service of our mission to remove barriers between patients and the care they need. Core Duties/Responsibilities: Roadmap Partnership: Contribute to the product roadmap with the Executive Director of IT Development, Innovation and Impact, and Implementation leaders - bringing the platform view, feasibility, and sequencing realities into strategy conversations before commitments are made. Value-Driven Prioritization: Own a single prioritized backlog spanning client launches, enhancements, defects, and platform work. Make the trade-offs explicit, publish the rationale, and keep the backlog an honest reflection of what the team will actually do. Specification & Story Decomposition: Translate complex business needs into build-ready, incrementally deliverable work for Salesforce Health Cloud. Decompose capabilities and workflows into epics, features/user stories, and acceptance criteria at the right level for engineering execution. Define the required data model, business and validation rules, automations, role-based access, integrations, notifications, dependencies, and exception scenarios. Identify gaps and decisions before development begins and confirm the resulting solution against what the business meant, not only what was initially asked for. Backlog Readiness: Own the readiness of work before sprint commitment. Ensure stories have sufficient requirements, acceptance criteria, dependencies, design decisions, data and access needs, and test scenarios for engineering to begin without avoidable discovery or requirements churn during the sprint. Ensure decisions and requirement changes are reflected in the backlog as the source of truth. AI-Enhanced Workflows: Use Claude, Claude Code, Agentforce Vibes, and Rovo to accelerate research, story writing, documentation, and test scenario generation - with the review discipline and data handling standards a regulated environment requires. Stakeholder Synthesis: Act as the primary point of contact for Market Access, Clinical Adherence, Pharmacy, Revenue Cycle Management, Implementation, and Compliance stakeholders. Negotiate competing priorities and manage expectations without relying on positional authority. Outcomes Over Output: Define the success measures for what you ship, then go look. Track adoption, error and rework rates, cycle time, and operational impact after release, and use what you learn to reshape the backlog. Delivery Accountability: Partner daily with the Delivery Manager, who owns the delivery flow, sprint capacity, sequencing, and delivery predictability. The Product Owner owns priority, scope, requirements, and product decisions during the sprint. Define acceptance criteria, accept completed work, and make timely scope and priority decisions when tradeoffs are required. Quality, Release & Business Readiness: Define how each requirement gets tested, lead user acceptance testing with the business, and triage defects through resolution. Demonstrate completed functionality to stakeholders, coordinate and deliver operational training, and confirm the business is prepared to adopt the change before go-live. Ensure documentation, training materials, communications, and post-deployment verification are complete before release. Platform Stewardship: Work with the Salesforce architect on configuration-first, reusable solutions that limit technical debt; with the AI Lead on where automation and AI belong in patient services workflows, including the guardrails; and with the data team on reporting, analytics, and integration requirements. Compliance by Design: Build HIPAA obligations, security policy, and minimum-necessary access into requirements from the start, given the patient, provider, and payer data our programs touch. Skills & Requirements: 3+ years as a Product Owner in an agile environment, with direct ownership of a backlog and the priority calls that come with it. A track record of taking digital products from concept to launch and being able to say what changed as a result. Working knowledge of the Salesforce platform and its configuration model - objects, fields, record types, permission sets, flows, and reporting. Health Cloud experience is a strong advantage. The ability to write requirements a developer can build from and a tester can verify against independently. Data literacy: comfort defining metrics, working with reports and dashboards, and using evidence rather than volume of requests to drive decisions. Practical experience with generative AI tools for documentation, analysis, and agile workflows. Exceptional communication and negotiation skills, with the ability to influence without authority and to hold a position under pressure. Comfort operating at pace with incomplete information, in a fully remote environment where accountability is self-driven. Education, Certifications and Experience: Bachelor's degree in Business, Information Systems, Healthcare Administration, or a related field, or equivalent practical experience. Experience in patient services, patient access, hub services, specialty pharmacy, market access, or revenue cycle management a strong advantage. Hands-on experience with Jira and Confluence preferred; familiarity with Atlassian Rovo, Claude, or comparable AI assistants preferred. Familiarity with HIPAA and regulated healthcare environments preferred. Relevant certifications preferred, including: Certified Scrum Product Owner (CSPO), Professional Scrum Product Owner (PSPO), PMI-PBA, Salesforce Certified Administrator, Salesforce Certified Business Analyst, or Salesforce Health Cloud Accredited Professional. Physical Requirements: As a remote-forward organization, this position operates in a virtual professional office environment and teleworking from the employee's home address listed in their employment file. Prolonged periods of sitting at a desk and working on a computer Keyboarding Speaking Must be able to lift up to 15 pounds at times Flexibility of working hours to support activities across EST to PST zones Minimal travel possible Our PRO-Spectus Culture Philosophy At PRO-Spectus we have created a culture that is supportive, dedicated, and teamwork driven. We celebrate each other's joys in personal life and professional accomplishments, promoting meaningful relationships and friendships. Our employees bring strength of mind and spirit to make the extraordinary happen every day. With humility and compassion at our core, PRO-Spectus is proud of our relentless focus towards the higher purpose of improving the lives of patients we support. We recognize it takes a lot of people working together with a common goal to make spectacular happen, and we never forget that at the heart of our company are the people who make it work. PRO-Spectus is an Equal Opportunity / Affirmative Action employer. All qualified individuals will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, protected veteran status, marital status or other protected status under federal, state or local laws. At PRO-spectus, we are deeply committed to pay transparency and equity. The annual range for this position is $115,000 - 140,000, based on experience and qualifications, with the final offer reflecting skills and other job-related factors. Beyond competitive pay, we offer a comprehensive and generous benefits package designed to support your well-being and work-life balance. Our benefits include robust medical, dental, and vision plans; life insurance and disability coverage; and tax-advantaged savings accounts. We also provide an Employee Assistance Program, home office benefits, and unique perks like an Employee Ownership Program. With paid time off, holidays, bereavement leave . click apply for full job details

Job Description Job Description Proconex is the exclusive Emerson Impact Partner for Emerson Automation Solutions in the Mid-Atlantic region. We provide a full portfolio of Process Automation Control Systems, Valves and Control Devices, and related technologies and services to a range of customers-in the Life Sciences, Chemical, Power, Refining, Oil & Gas, Food & Beverage, Paper, Metals, and other industries, as well as commercial enterprises and campus facilities. With three strategically located offices, Proconex maintains a deep dedication to its 200+ employees, a sharp focus on safety and quality, and the drive to deliver. Job Overview The Product Manager, AI Platforms is responsible for defining, prioritizing, and advancing product strategy across Linque's industrial intelligence ecosystem, including AIME, Mobius, VisionAI, AI-enabled verification, AI-Ops/Agentic AI, and related platform capabilities. This individual will serve as the primary Product Owner for VisionAI and a strategic leader across the broader platform portfolio, translating customer needs, market insights, competitive intelligence, and business priorities into product roadmaps, requirements, release plans, and commercialization strategies. Working closely with engineering, AI platform leadership, quality, sales, business development, and customer-facing teams, the Product Manager will drive VisionAI market readiness, productization efforts, customer adoption, and long-term platform growth. Success in this role requires strong customer empathy, commercial judgment, strategic communication skills, and the ability to influence cross-functional stakeholders without direct authority. This role brings a structured approach to problem solving, balances customer needs with technical feasibility and business value, and exists in a fast-paced environment where priorities evolve and rapid iteration are required. Key Responsibilities Product Strategy, Roadmap & Governance Own and maintain the product roadmap across the AIME/Mobius ecosystem and related platform capabilities, balancing long-term platform direction with near-term commercial priorities. Translate business strategy, customer requirements, and market needs into product themes, epics, user stories, release priorities, and measurable outcomes. Establish product governance processes for roadmap decisions, prioritization, release planning, and cross-functional alignment. Define boundaries between platform capabilities, configurable features, customer-specific development, and service offerings. Align product investments with recurring revenue growth, customer adoption, implementation scalability, and long-term competitive positioning. Voice of Customer, Market Intelligence & Competitive Positioning Serve as the primary owner of customer, prospect, pilot, sales, support, implementation, and partner feedback. Monitor industry trends, customer buying behaviors, competitive offerings, technology advancements, and emerging opportunities across industrial software, VisionAI, AI-enabled verification, and connected operations. Translate customer and commercial feedback into actionable product priorities, roadmap decisions, packaging considerations, and market opportunities. Maintain a strong understanding of customer personas, use cases, buying criteria, value propositions, and operational pain points. Develop and maintain competitive intelligence that informs product strategy, differentiation, commercialization, and positioning. VisionAI Product Development & Market Readiness Lead initiatives to define, validate, and scale VisionAI product offerings, converting customer pilots and emerging opportunities into repeatable, commercially viable solutions. Define VisionAI requirements, MVP scope, roadmap priorities, release readiness criteria, and commercialization milestones. Support productization of applications such as foam detection, visual inspection, AI-enabled verification, and industrial quality monitoring. Partner with engineering, AI platform, quality, and commercial teams to ensure VisionAI offerings are scalable, supportable, and aligned with customer requirements. Position VisionAI as both a standalone solution and an integrated capability within the broader AIME/Mobius ecosystem. Cross-Functional Product Execution Partner with software, AI platform, and engineering leaders to align product strategy with technical architecture, platform capabilities, engineering capacity, and delivery sequencing. Support backlog refinement, sprint planning, requirements clarification, and acceptance criteria definition to ensure successful execution against roadmap priorities. Collaborate closely with Sales, Marketing, Customer Success, Support, Quality, and Operations teams to ensure products can be effectively sold, implemented, supported, and scaled. Facilitate tradeoff decisions balancing customer requests, revenue opportunities, scalability, technical debt, quality and compliance requirements, and long-term product strategy. Communicate roadmap priorities, product decisions, risks, dependencies, and release expectations across stakeholders. Product Commercialization & Sales Enablement Develop product positioning, buyer personas, use cases, value propositions, messaging, and market narratives for AIME, Mobius, VisionAI, and related offerings. Support customer discovery, demonstrations, pilots, proof-of-concept initiatives, proposal development, and strategic sales pursuits. Create product briefs, release notes, enablement materials, launch plans, pricing inputs, product packaging concepts, and customer-facing collateral. Ensure product packaging and commercialization strategies consider implementation complexity, support readiness, scalability, and customer adoption requirements. Represent Linque's product organization in customer meetings, partner engagements, industry events, and internal strategic planning activities. Basic Qualifications Bachelor's degree in Engineering, Computer Science, Business, Product Management, or a related field or equivalent experience. 5+ years of experience in product management, product strategy, software product ownership, industrial software, AI-enabled products, automation technology, manufacturing technology, or related technical-commercial roles. 2+ years of experience translating customer needs, market insights, and technical constraints into product roadmaps, requirements, release plans, and commercialization priorities. 2+ years of experience collaborating with software engineering, AI/ML, data, platform, hardware, automation, or industrial technology teams. 2+ years of experience with product roadmapping, prioritization, backlog management, and agile product execution. 2+ years of experience gathering and synthesizing Voice of Customer feedback, market intelligence, and competitive insights. 2+ years of experience supporting product launches, commercialization efforts, sales enablement activities, customer discovery, or go-to-market initiatives. Preferred Qualifications Advanced degree in Engineering, Computer Science, Business, Product Management, or a related discipline. Experience supporting software products within industrial manufacturing, infrastructure, energy, utilities, pharmaceutical, life sciences, or other mission-critical environments. Life sciences, GMP-regulated, validation-oriented, or quality-focused manufacturing experience. Experience with VisionAI, machine vision, computer vision, AI-enabled verification, applied AI, or industrial AI solutions. Experience with hardware-enabled software, edge deployments, industrial cameras, sensors, automation systems, or connected plant-floor technologies. Experience supporting cloud, on-premises, and edge deployment models. Experience developing competitive intelligence, product packaging, pricing strategies, commercialization frameworks, and sales enablement programs. Proven track record of building strong relationships across technical and commercial teams while effectively representing products in customer-facing and executive-level environments. We are proud to be an employee-owned organization. Through our ESOP, every team member shares in the growth and success of the company, fostering a culture of collaboration, accountability, and long-term rewards. Proconex offers a standout culture, fantastic work environment, and has very competitive benefits to include premium medical, 401K match, tuition reimbursement, and other unique incentives. When receiving e-mails from a Proconex or Valspec recruiter, you will only receive e-mails from addresses ending Any other domains are impersonations and should be ignored. Candidates must be legally eligible to work in the United States without company sponsorship. Also, we are not interested in working on a corp-to-corp basis with other companies at this time. Any third-party unsolicited resume submission(s) will immediately become the property of Proconex. Proconex will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established. Proconex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, sexual orientation, gender identity, disability . click apply for full job details

Job Description Job Description About Us: Live experiences help people cross today's digital divide and focus on what truly connects us - the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most. With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life. The Role Gametime's Post-Order UX & AI Automation team owns everything that happens after a fan completes a purchase - setting the right expectations, delivering tickets reliably, communicating proactively when things change, and building the tools our Fan Operations team uses to support customers efficiently. This PM will own the roadmap for reducing contact rate and cost to serve while raising fan satisfaction, using AI to power both a better self-service experience for fans and better tooling for the internal team who supports them. This role is open to various levels/ titles - Senior Product Manager, Staff Product Manager, or Principal Product Manager - we're hiring for the right person and scope, not a fixed level. What You'll Own Post-order communications: design and streamline the messaging fans receive after purchase - order confirmations, delivery updates, event-change notifications - to set clear expectations and reduce uncertainty Ticket delivery experience: improve the reliability and clarity of ticket delivery to reduce delivery-related complaints and negative reviews AI-powered self-service: build fan-facing AI tools (e.g., conversational support, automated resolution flows) that reduce human contact rate for common post-order issues Agent-assist and internal tooling: build AI-powered tools for our Fan Operations team (e.g., agent-assist, prioritization and routing, automated triage, knowledge retrieval) that reduce handle time and improve resolution quality CSAT: drive improvements in fan satisfaction across the post-order journey Cost to serve: lower the cost of supporting each transaction as volume grows, balancing automation with service quality A roadmap tied directly to contact rate, CSAT, delivery-related complaints, and cost to serve What We're Looking For Common bar: A track record of shipping product changes that moved measurable business outcomes Strong cross-functional partnership skills - you'll work closely with Fan Operations leadership, Engineering, Data, Trust & Safety, and Supply Comfort operating at whatever level you're hired into, from hands-on execution to setting multi-quarter strategy Domain-specific: Experience owning post-purchase experience in a marketplace environment, customer service/support operations, or contact center technology Experience shipping AI or LLM-powered product features, ideally in a support or self-service context Familiarity with support metrics (contact rate, handle time, CSAT, cost to serve) and how product changes move them A data-driven approach - comfort working with SQL/analytics to diagnose where fans get stuck post-purchase At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range $169,000-$250,000 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

Job Description Job Description Proconex is the exclusive Emerson Impact Partner for Emerson Automation Solutions in the Mid-Atlantic region. We provide a full portfolio of Process Automation Control Systems, Valves and Control Devices, and related technologies and services to a range of customers-in the Life Sciences, Chemical, Power, Refining, Oil & Gas, Food & Beverage, Paper, Metals, and other industries, as well as commercial enterprises and campus facilities. With three strategically located offices, Proconex maintains a deep dedication to its 200+ employees, a sharp focus on safety and quality, and the drive to deliver. Job Overview The Product Manager, AI Platforms is responsible for defining, prioritizing, and advancing product strategy across Linque's industrial intelligence ecosystem, including AIME, Mobius, VisionAI, AI-enabled verification, AI-Ops/Agentic AI, and related platform capabilities. This individual will serve as the primary Product Owner for VisionAI and a strategic leader across the broader platform portfolio, translating customer needs, market insights, competitive intelligence, and business priorities into product roadmaps, requirements, release plans, and commercialization strategies. Working closely with engineering, AI platform leadership, quality, sales, business development, and customer-facing teams, the Product Manager will drive VisionAI market readiness, productization efforts, customer adoption, and long-term platform growth. Success in this role requires strong customer empathy, commercial judgment, strategic communication skills, and the ability to influence cross-functional stakeholders without direct authority. This role brings a structured approach to problem solving, balances customer needs with technical feasibility and business value, and exists in a fast-paced environment where priorities evolve and rapid iteration are required. Key Responsibilities Product Strategy, Roadmap & Governance Own and maintain the product roadmap across the AIME/Mobius ecosystem and related platform capabilities, balancing long-term platform direction with near-term commercial priorities. Translate business strategy, customer requirements, and market needs into product themes, epics, user stories, release priorities, and measurable outcomes. Establish product governance processes for roadmap decisions, prioritization, release planning, and cross-functional alignment. Define boundaries between platform capabilities, configurable features, customer-specific development, and service offerings. Align product investments with recurring revenue growth, customer adoption, implementation scalability, and long-term competitive positioning. Voice of Customer, Market Intelligence & Competitive Positioning Serve as the primary owner of customer, prospect, pilot, sales, support, implementation, and partner feedback. Monitor industry trends, customer buying behaviors, competitive offerings, technology advancements, and emerging opportunities across industrial software, VisionAI, AI-enabled verification, and connected operations. Translate customer and commercial feedback into actionable product priorities, roadmap decisions, packaging considerations, and market opportunities. Maintain a strong understanding of customer personas, use cases, buying criteria, value propositions, and operational pain points. Develop and maintain competitive intelligence that informs product strategy, differentiation, commercialization, and positioning. VisionAI Product Development & Market Readiness Lead initiatives to define, validate, and scale VisionAI product offerings, converting customer pilots and emerging opportunities into repeatable, commercially viable solutions. Define VisionAI requirements, MVP scope, roadmap priorities, release readiness criteria, and commercialization milestones. Support productization of applications such as foam detection, visual inspection, AI-enabled verification, and industrial quality monitoring. Partner with engineering, AI platform, quality, and commercial teams to ensure VisionAI offerings are scalable, supportable, and aligned with customer requirements. Position VisionAI as both a standalone solution and an integrated capability within the broader AIME/Mobius ecosystem. Cross-Functional Product Execution Partner with software, AI platform, and engineering leaders to align product strategy with technical architecture, platform capabilities, engineering capacity, and delivery sequencing. Support backlog refinement, sprint planning, requirements clarification, and acceptance criteria definition to ensure successful execution against roadmap priorities. Collaborate closely with Sales, Marketing, Customer Success, Support, Quality, and Operations teams to ensure products can be effectively sold, implemented, supported, and scaled. Facilitate tradeoff decisions balancing customer requests, revenue opportunities, scalability, technical debt, quality and compliance requirements, and long-term product strategy. Communicate roadmap priorities, product decisions, risks, dependencies, and release expectations across stakeholders. Product Commercialization & Sales Enablement Develop product positioning, buyer personas, use cases, value propositions, messaging, and market narratives for AIME, Mobius, VisionAI, and related offerings. Support customer discovery, demonstrations, pilots, proof-of-concept initiatives, proposal development, and strategic sales pursuits. Create product briefs, release notes, enablement materials, launch plans, pricing inputs, product packaging concepts, and customer-facing collateral. Ensure product packaging and commercialization strategies consider implementation complexity, support readiness, scalability, and customer adoption requirements. Represent Linque's product organization in customer meetings, partner engagements, industry events, and internal strategic planning activities. Basic Qualifications Bachelor's degree in Engineering, Computer Science, Business, Product Management, or a related field or equivalent experience. 5+ years of experience in product management, product strategy, software product ownership, industrial software, AI-enabled products, automation technology, manufacturing technology, or related technical-commercial roles. 2+ years of experience translating customer needs, market insights, and technical constraints into product roadmaps, requirements, release plans, and commercialization priorities. 2+ years of experience collaborating with software engineering, AI/ML, data, platform, hardware, automation, or industrial technology teams. 2+ years of experience with product roadmapping, prioritization, backlog management, and agile product execution. 2+ years of experience gathering and synthesizing Voice of Customer feedback, market intelligence, and competitive insights. 2+ years of experience supporting product launches, commercialization efforts, sales enablement activities, customer discovery, or go-to-market initiatives. Preferred Qualifications Advanced degree in Engineering, Computer Science, Business, Product Management, or a related discipline. Experience supporting software products within industrial manufacturing, infrastructure, energy, utilities, pharmaceutical, life sciences, or other mission-critical environments. Life sciences, GMP-regulated, validation-oriented, or quality-focused manufacturing experience. Experience with VisionAI, machine vision, computer vision, AI-enabled verification, applied AI, or industrial AI solutions. Experience with hardware-enabled software, edge deployments, industrial cameras, sensors, automation systems, or connected plant-floor technologies. Experience supporting cloud, on-premises, and edge deployment models. Experience developing competitive intelligence, product packaging, pricing strategies, commercialization frameworks, and sales enablement programs. Proven track record of building strong relationships across technical and commercial teams while effectively representing products in customer-facing and executive-level environments. We are proud to be an employee-owned organization. Through our ESOP, every team member shares in the growth and success of the company, fostering a culture of collaboration, accountability, and long-term rewards. Proconex offers a standout culture, fantastic work environment, and has very competitive benefits to include premium medical, 401K match, tuition reimbursement, and other unique incentives. When receiving e-mails from a Proconex or Valspec recruiter, you will only receive e-mails from addresses ending Any other domains are impersonations and should be ignored. Candidates must be legally eligible to work in the United States without company sponsorship. Also, we are not interested in working on a corp-to-corp basis with other companies at this time. Any third-party unsolicited resume submission(s) will immediately become the property of Proconex. Proconex will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established. Proconex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, sexual orientation, gender identity, disability . click apply for full job details

Job Description Job Description Proconex is the exclusive Emerson Impact Partner for Emerson Automation Solutions in the Mid-Atlantic region. We provide a full portfolio of Process Automation Control Systems, Valves and Control Devices, and related technologies and services to a range of customers-in the Life Sciences, Chemical, Power, Refining, Oil & Gas, Food & Beverage, Paper, Metals, and other industries, as well as commercial enterprises and campus facilities. With three strategically located offices, Proconex maintains a deep dedication to its 200+ employees, a sharp focus on safety and quality, and the drive to deliver. Job Overview The Product Manager, AI Platforms is responsible for defining, prioritizing, and advancing product strategy across Linque's industrial intelligence ecosystem, including AIME, Mobius, VisionAI, AI-enabled verification, AI-Ops/Agentic AI, and related platform capabilities. This individual will serve as the primary Product Owner for VisionAI and a strategic leader across the broader platform portfolio, translating customer needs, market insights, competitive intelligence, and business priorities into product roadmaps, requirements, release plans, and commercialization strategies. Working closely with engineering, AI platform leadership, quality, sales, business development, and customer-facing teams, the Product Manager will drive VisionAI market readiness, productization efforts, customer adoption, and long-term platform growth. Success in this role requires strong customer empathy, commercial judgment, strategic communication skills, and the ability to influence cross-functional stakeholders without direct authority. This role brings a structured approach to problem solving, balances customer needs with technical feasibility and business value, and exists in a fast-paced environment where priorities evolve and rapid iteration are required. Key Responsibilities Product Strategy, Roadmap & Governance Own and maintain the product roadmap across the AIME/Mobius ecosystem and related platform capabilities, balancing long-term platform direction with near-term commercial priorities. Translate business strategy, customer requirements, and market needs into product themes, epics, user stories, release priorities, and measurable outcomes. Establish product governance processes for roadmap decisions, prioritization, release planning, and cross-functional alignment. Define boundaries between platform capabilities, configurable features, customer-specific development, and service offerings. Align product investments with recurring revenue growth, customer adoption, implementation scalability, and long-term competitive positioning. Voice of Customer, Market Intelligence & Competitive Positioning Serve as the primary owner of customer, prospect, pilot, sales, support, implementation, and partner feedback. Monitor industry trends, customer buying behaviors, competitive offerings, technology advancements, and emerging opportunities across industrial software, VisionAI, AI-enabled verification, and connected operations. Translate customer and commercial feedback into actionable product priorities, roadmap decisions, packaging considerations, and market opportunities. Maintain a strong understanding of customer personas, use cases, buying criteria, value propositions, and operational pain points. Develop and maintain competitive intelligence that informs product strategy, differentiation, commercialization, and positioning. VisionAI Product Development & Market Readiness Lead initiatives to define, validate, and scale VisionAI product offerings, converting customer pilots and emerging opportunities into repeatable, commercially viable solutions. Define VisionAI requirements, MVP scope, roadmap priorities, release readiness criteria, and commercialization milestones. Support productization of applications such as foam detection, visual inspection, AI-enabled verification, and industrial quality monitoring. Partner with engineering, AI platform, quality, and commercial teams to ensure VisionAI offerings are scalable, supportable, and aligned with customer requirements. Position VisionAI as both a standalone solution and an integrated capability within the broader AIME/Mobius ecosystem. Cross-Functional Product Execution Partner with software, AI platform, and engineering leaders to align product strategy with technical architecture, platform capabilities, engineering capacity, and delivery sequencing. Support backlog refinement, sprint planning, requirements clarification, and acceptance criteria definition to ensure successful execution against roadmap priorities. Collaborate closely with Sales, Marketing, Customer Success, Support, Quality, and Operations teams to ensure products can be effectively sold, implemented, supported, and scaled. Facilitate tradeoff decisions balancing customer requests, revenue opportunities, scalability, technical debt, quality and compliance requirements, and long-term product strategy. Communicate roadmap priorities, product decisions, risks, dependencies, and release expectations across stakeholders. Product Commercialization & Sales Enablement Develop product positioning, buyer personas, use cases, value propositions, messaging, and market narratives for AIME, Mobius, VisionAI, and related offerings. Support customer discovery, demonstrations, pilots, proof-of-concept initiatives, proposal development, and strategic sales pursuits. Create product briefs, release notes, enablement materials, launch plans, pricing inputs, product packaging concepts, and customer-facing collateral. Ensure product packaging and commercialization strategies consider implementation complexity, support readiness, scalability, and customer adoption requirements. Represent Linque's product organization in customer meetings, partner engagements, industry events, and internal strategic planning activities. Basic Qualifications Bachelor's degree in Engineering, Computer Science, Business, Product Management, or a related field or equivalent experience. 5+ years of experience in product management, product strategy, software product ownership, industrial software, AI-enabled products, automation technology, manufacturing technology, or related technical-commercial roles. 2+ years of experience translating customer needs, market insights, and technical constraints into product roadmaps, requirements, release plans, and commercialization priorities. 2+ years of experience collaborating with software engineering, AI/ML, data, platform, hardware, automation, or industrial technology teams. 2+ years of experience with product roadmapping, prioritization, backlog management, and agile product execution. 2+ years of experience gathering and synthesizing Voice of Customer feedback, market intelligence, and competitive insights. 2+ years of experience supporting product launches, commercialization efforts, sales enablement activities, customer discovery, or go-to-market initiatives. Preferred Qualifications Advanced degree in Engineering, Computer Science, Business, Product Management, or a related discipline. Experience supporting software products within industrial manufacturing, infrastructure, energy, utilities, pharmaceutical, life sciences, or other mission-critical environments. Life sciences, GMP-regulated, validation-oriented, or quality-focused manufacturing experience. Experience with VisionAI, machine vision, computer vision, AI-enabled verification, applied AI, or industrial AI solutions. Experience with hardware-enabled software, edge deployments, industrial cameras, sensors, automation systems, or connected plant-floor technologies. Experience supporting cloud, on-premises, and edge deployment models. Experience developing competitive intelligence, product packaging, pricing strategies, commercialization frameworks, and sales enablement programs. Proven track record of building strong relationships across technical and commercial teams while effectively representing products in customer-facing and executive-level environments. We are proud to be an employee-owned organization. Through our ESOP, every team member shares in the growth and success of the company, fostering a culture of collaboration, accountability, and long-term rewards. Proconex offers a standout culture, fantastic work environment, and has very competitive benefits to include premium medical, 401K match, tuition reimbursement, and other unique incentives. When receiving e-mails from a Proconex or Valspec recruiter, you will only receive e-mails from addresses ending Any other domains are impersonations and should be ignored. Candidates must be legally eligible to work in the United States without company sponsorship. Also, we are not interested in working on a corp-to-corp basis with other companies at this time. Any third-party unsolicited resume submission(s) will immediately become the property of Proconex. Proconex will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established. Proconex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, sexual orientation, gender identity, disability . click apply for full job details

Job Description Job Description Proconex is the exclusive Emerson Impact Partner for Emerson Automation Solutions in the Mid-Atlantic region. We provide a full portfolio of Process Automation Control Systems, Valves and Control Devices, and related technologies and services to a range of customers-in the Life Sciences, Chemical, Power, Refining, Oil & Gas, Food & Beverage, Paper, Metals, and other industries, as well as commercial enterprises and campus facilities. With three strategically located offices, Proconex maintains a deep dedication to its 200+ employees, a sharp focus on safety and quality, and the drive to deliver. Job Overview The Product Manager, AI Platforms is responsible for defining, prioritizing, and advancing product strategy across Linque's industrial intelligence ecosystem, including AIME, Mobius, VisionAI, AI-enabled verification, AI-Ops/Agentic AI, and related platform capabilities. This individual will serve as the primary Product Owner for VisionAI and a strategic leader across the broader platform portfolio, translating customer needs, market insights, competitive intelligence, and business priorities into product roadmaps, requirements, release plans, and commercialization strategies. Working closely with engineering, AI platform leadership, quality, sales, business development, and customer-facing teams, the Product Manager will drive VisionAI market readiness, productization efforts, customer adoption, and long-term platform growth. Success in this role requires strong customer empathy, commercial judgment, strategic communication skills, and the ability to influence cross-functional stakeholders without direct authority. This role brings a structured approach to problem solving, balances customer needs with technical feasibility and business value, and exists in a fast-paced environment where priorities evolve and rapid iteration are required. Key Responsibilities Product Strategy, Roadmap & Governance Own and maintain the product roadmap across the AIME/Mobius ecosystem and related platform capabilities, balancing long-term platform direction with near-term commercial priorities. Translate business strategy, customer requirements, and market needs into product themes, epics, user stories, release priorities, and measurable outcomes. Establish product governance processes for roadmap decisions, prioritization, release planning, and cross-functional alignment. Define boundaries between platform capabilities, configurable features, customer-specific development, and service offerings. Align product investments with recurring revenue growth, customer adoption, implementation scalability, and long-term competitive positioning. Voice of Customer, Market Intelligence & Competitive Positioning Serve as the primary owner of customer, prospect, pilot, sales, support, implementation, and partner feedback. Monitor industry trends, customer buying behaviors, competitive offerings, technology advancements, and emerging opportunities across industrial software, VisionAI, AI-enabled verification, and connected operations. Translate customer and commercial feedback into actionable product priorities, roadmap decisions, packaging considerations, and market opportunities. Maintain a strong understanding of customer personas, use cases, buying criteria, value propositions, and operational pain points. Develop and maintain competitive intelligence that informs product strategy, differentiation, commercialization, and positioning. VisionAI Product Development & Market Readiness Lead initiatives to define, validate, and scale VisionAI product offerings, converting customer pilots and emerging opportunities into repeatable, commercially viable solutions. Define VisionAI requirements, MVP scope, roadmap priorities, release readiness criteria, and commercialization milestones. Support productization of applications such as foam detection, visual inspection, AI-enabled verification, and industrial quality monitoring. Partner with engineering, AI platform, quality, and commercial teams to ensure VisionAI offerings are scalable, supportable, and aligned with customer requirements. Position VisionAI as both a standalone solution and an integrated capability within the broader AIME/Mobius ecosystem. Cross-Functional Product Execution Partner with software, AI platform, and engineering leaders to align product strategy with technical architecture, platform capabilities, engineering capacity, and delivery sequencing. Support backlog refinement, sprint planning, requirements clarification, and acceptance criteria definition to ensure successful execution against roadmap priorities. Collaborate closely with Sales, Marketing, Customer Success, Support, Quality, and Operations teams to ensure products can be effectively sold, implemented, supported, and scaled. Facilitate tradeoff decisions balancing customer requests, revenue opportunities, scalability, technical debt, quality and compliance requirements, and long-term product strategy. Communicate roadmap priorities, product decisions, risks, dependencies, and release expectations across stakeholders. Product Commercialization & Sales Enablement Develop product positioning, buyer personas, use cases, value propositions, messaging, and market narratives for AIME, Mobius, VisionAI, and related offerings. Support customer discovery, demonstrations, pilots, proof-of-concept initiatives, proposal development, and strategic sales pursuits. Create product briefs, release notes, enablement materials, launch plans, pricing inputs, product packaging concepts, and customer-facing collateral. Ensure product packaging and commercialization strategies consider implementation complexity, support readiness, scalability, and customer adoption requirements. Represent Linque's product organization in customer meetings, partner engagements, industry events, and internal strategic planning activities. Basic Qualifications Bachelor's degree in Engineering, Computer Science, Business, Product Management, or a related field or equivalent experience. 5+ years of experience in product management, product strategy, software product ownership, industrial software, AI-enabled products, automation technology, manufacturing technology, or related technical-commercial roles. 2+ years of experience translating customer needs, market insights, and technical constraints into product roadmaps, requirements, release plans, and commercialization priorities. 2+ years of experience collaborating with software engineering, AI/ML, data, platform, hardware, automation, or industrial technology teams. 2+ years of experience with product roadmapping, prioritization, backlog management, and agile product execution. 2+ years of experience gathering and synthesizing Voice of Customer feedback, market intelligence, and competitive insights. 2+ years of experience supporting product launches, commercialization efforts, sales enablement activities, customer discovery, or go-to-market initiatives. Preferred Qualifications Advanced degree in Engineering, Computer Science, Business, Product Management, or a related discipline. Experience supporting software products within industrial manufacturing, infrastructure, energy, utilities, pharmaceutical, life sciences, or other mission-critical environments. Life sciences, GMP-regulated, validation-oriented, or quality-focused manufacturing experience. Experience with VisionAI, machine vision, computer vision, AI-enabled verification, applied AI, or industrial AI solutions. Experience with hardware-enabled software, edge deployments, industrial cameras, sensors, automation systems, or connected plant-floor technologies. Experience supporting cloud, on-premises, and edge deployment models. Experience developing competitive intelligence, product packaging, pricing strategies, commercialization frameworks, and sales enablement programs. Proven track record of building strong relationships across technical and commercial teams while effectively representing products in customer-facing and executive-level environments. We are proud to be an employee-owned organization. Through our ESOP, every team member shares in the growth and success of the company, fostering a culture of collaboration, accountability, and long-term rewards. Proconex offers a standout culture, fantastic work environment, and has very competitive benefits to include premium medical, 401K match, tuition reimbursement, and other unique incentives. When receiving e-mails from a Proconex or Valspec recruiter, you will only receive e-mails from addresses ending Any other domains are impersonations and should be ignored. Candidates must be legally eligible to work in the United States without company sponsorship. Also, we are not interested in working on a corp-to-corp basis with other companies at this time. Any third-party unsolicited resume submission(s) will immediately become the property of Proconex. Proconex will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established. Proconex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, sexual orientation, gender identity, disability . click apply for full job details

Job Description Job Description Senior Business Intelligence Engineer / Data Architect / SQL Server DBA Senior, hands-on hybrid role Business Intelligence " Data Architecture " Database Administration Position Summary Seeking a senior technical professional to architect, build, administer, and support enterprise data warehouse, integration, reporting, and analytics solutions. This role owns the full lifecycle from requirements and design through development, deployment, validation, optimization, and production support. The ideal candidate combines advanced SQL Server and Microsoft BI expertise with strong business communication and practical experience supporting reliable, secure, and scalable data platforms. Core Responsibilities Design and maintain enterprise data warehouse, data mart, staging, semantic, and reporting architectures using dimensional models, fact and dimension tables, star/snowflake schemas, metadata standards, and historical data strategies. Develop, deploy, and support ETL/ELT pipelines using T-SQL, SSIS, Azure Data Factory, Microsoft Fabric, or equivalent tools; integrate SQL Server, MySQL, Oracle, Azure SQL, files, APIs, and other enterprise sources. Create governed Power BI datasets, semantic models, dashboards, KPIs, and executive/operational reports; develop SSRS and Excel-based reporting where appropriate and administer refreshes, gateways, workspaces, and access. Administer production SQL Server environments, including security, backups, restores, disaster recovery, SQL Agent, monitoring, capacity, migrations, upgrades, availability, and least-privilege access. Develop and optimize complex stored procedures, views, functions, tables, indexes, and data-processing routines; diagnose query, ETL, report, blocking, deadlock, and resource-performance issues. Implement automated reconciliation, auditing, lineage, logging, error handling, alerting, and data-quality controls to verify complete and accurate processing from source systems through final reports. Partner with business leaders, analysts, application teams, and executives to translate requirements into technical designs; manage work through Software Development Life Cycle (SDLC), testing, UAT, change control, version control, deployment, documentation, and support. Provide production incident response, root-cause analysis, architectural guidance, code/design reviews, standards, documentation, knowledge transfer, and mentoring for other team members. Required Experience 8 years of progressive experience in BI, data engineering, data warehousing, database architecture, or SQL Server administration, including enterprise production support and end-to-end solution delivery. Expert T-SQL and advanced SQL Server development; strong performance tuning using execution plans, Query Store, Dynamic Management Views (DMVs), Extended Events, Profiler, or comparable diagnostic tools. Demonstrated data warehouse architecture and dimensional modeling experience, including conceptual/logical/physical models, Slowly Changing Dimensions, indexing, partitioning, retention, and scalable load design. Hands-on ETL/ELT development with SSIS and/or modern cloud data services, including incremental processing, Change Data Capture (CDC), scheduling, fault-tolerant and recoverable data pipeline, validation, auditing, and heterogeneous source integration. Strong Power BI experience with data modeling, Power Query, DAX, interactive reporting, security, deployment, and refresh administration; working knowledge of SSRS. Production DBA experience with backup/recovery, disaster recovery, security, monitoring, automation, troubleshooting, migrations, upgrades, and high-availability concepts. Ability to communicate technical concepts clearly, work independently, document solutions, prioritize production and project demands, and collaborate with technical and nontechnical stakeholders. Preferred Qualifications Microsoft Fabric, Azure SQL, Azure Data Factory, SSAS/tabular models, MySQL, Oracle, APIs, Git/Azure DevOps, Python, PowerShell, C#/.NET, Tableau, master data management, data governance, cloud migration, and mentoring experience. Bachelor's degree in a relevant field or equivalent professional experience; applicable Microsoft certifications are desirable.

Job Description Job Description Hi, Hope You are doing well. This is Piyush from Tanisha Systems. I have a job opportunity for you, if you are interested, please share your Resume and details ASAP. Enterprise Architect Data, Cloud & AI Location: Scottsdale, AZ / San Francisco, CA Onsite Hire Type: Contract-to-Hire (CTH) Must-Have Skills Databricks Cloudera Snowflake Data Engineering Role Overview We are seeking a highly experienced Enterprise Architect to define and drive enterprise technology strategy across Data Platforms, Cloud, AI/ML, Analytics, and Enterprise Integration. The ideal candidate will have strong hands-on architecture experience with Databricks, Cloudera, Snowflake, Hadoop, Data Engineering, and Cloud Platforms, along with the ability to design scalable, secure, resilient, and future-ready enterprise solutions. This role will work closely with executive leadership, business stakeholders, engineering teams, architects, and customers to define enterprise architecture, establish technology standards, drive modernization, and deliver large-scale digital, data, and AI transformation initiatives. Key Responsibilities Enterprise Architecture & Technology Strategy Define enterprise-wide architecture standards, reference architectures, technology principles, and strategic technology roadmaps. Lead architecture governance, solution reviews, technology evaluations, and architecture decision processes. Design scalable, resilient, secure, highly available, and cost-optimized enterprise platforms. Align enterprise technology architecture with business objectives, digital transformation strategies, and long-term organizational goals. Drive cloud adoption, legacy modernization, platform engineering, and enterprise transformation initiatives. Evaluate emerging technologies and recommend solutions that provide measurable business and operational value. Data Platform Architecture Architect enterprise-scale data platforms using Databricks, Cloudera, Snowflake, Hadoop, and cloud-native data services. Design and implement modern Lakehouse, Data Warehouse, Data Lake, Data Mesh, and Data Fabric architectures. Define enterprise data governance, metadata management, data lineage, security, and access-control frameworks. Establish standards for data quality, observability, monitoring, compliance, and operational reliability. Develop strategies for managing structured, semi-structured, and unstructured enterprise data. Define scalable data architecture patterns supporting analytics, AI/ML, reporting, and business intelligence. Data Engineering & ETL Architecture Architect large-scale ETL/ELT frameworks supporting batch, streaming, and real-time data processing. Lead the architecture of scalable data pipelines integrating multiple enterprise source systems. Define data integration and processing patterns using Apache Spark, PySpark, Databricks, Cloudera/Hadoop, Kafka, and cloud-native services. Establish best practices for data ingestion, transformation, orchestration, processing, and delivery. Optimize data pipelines for performance, scalability, reliability, and cost efficiency. Provide architectural guidance to data engineering teams on modern data processing and integration patterns. Cloud Architecture Design enterprise solutions across AWS, Microsoft Azure, and Google Cloud Platform (GCP). Lead cloud migration, modernization, and hybrid/multi-cloud architecture initiatives. Architect highly available, secure, scalable, and resilient cloud platforms. Define Infrastructure as Code (IaC), CI/CD, DevOps, and platform engineering strategies. Establish cloud governance standards covering security, networking, identity, monitoring, compliance, and cost management. Promote FinOps and cloud cost-optimization practices across enterprise platforms. AI/ML & Advanced Analytics Define enterprise-wide AI/ML architecture and technology strategy. Architect MLOps frameworks supporting model development, deployment, monitoring, and lifecycle management. Design architectures for Generative AI, Agentic AI, RAG, LLMs, and enterprise AI applications. Define integration patterns for LLMs, vector databases, knowledge bases, and AI services. Establish AI governance, security, monitoring, responsible AI, and model-risk management practices. Enable predictive analytics, business intelligence, advanced analytics, and AI-driven business capabilities. API & Enterprise Integration Define enterprise integration architecture and API strategy. Design API-first, microservices, event-driven, and distributed architectures. Establish integration patterns using REST APIs, GraphQL, Enterprise Service Bus (ESB), messaging systems, and streaming platforms. Ensure enterprise integrations are secure, scalable, reusable, resilient, and maintainable. Define standards for API governance, lifecycle management, security, monitoring, and observability. Quality Engineering & Test Automation Define enterprise quality engineering and testing strategies across data, cloud, APIs, applications, and AI/ML platforms. Architect automated testing frameworks for ETL, data quality, APIs, cloud platforms, and AI/ML solutions. Drive adoption of CI/CD-integrated testing and quality engineering practices. Establish standards for reliability, performance, scalability, observability, and resilience testing. Promote automated validation and continuous quality across enterprise platforms. Leadership & Stakeholder Management Serve as a trusted technology advisor to executive, business, and technology leadership. Partner with customers and business stakeholders to understand strategic objectives and translate them into technology solutions. Mentor architects, engineers, technical leads, and development teams. Lead architecture review boards, technical governance forums, and design discussions. Communicate complex technical concepts and architectural decisions effectively to both technical and executive audiences. Drive innovation and adoption of emerging technologies aligned with business strategy. Required Technical Skills Data Platforms Databricks Lakehouse Cloudera Snowflake Hadoop Ecosystem HDFS, Hive, Spark, YARN Data Lakes & Data Warehouses Delta Lake Data Mesh / Data Fabric Data Engineering ETL / ELT Architecture Enterprise Data Pipelines Apache Spark / PySpark Kafka Batch & Real-Time Processing Streaming Architecture Data Quality & Observability Cloud Platforms AWS Microsoft Azure Google Cloud Platform (GCP) Cloud Security & Networking Infrastructure as Code Terraform / CloudFormation Cloud Architecture & Migration AI/ML Machine Learning Platforms MLOps Generative AI Large Language Models (LLMs) Agentic AI RAG Architectures Vector Databases AI Governance API & Integration REST APIs GraphQL Enterprise Service Bus (ESB) Event-Driven Architecture Microservices Messaging & Streaming Frameworks API Management DevOps & Automation CI/CD Pipelines GitHub / GitLab Jenkins Docker Kubernetes Infrastructure Automation Test Automation Frameworks Database Technologies Snowflake SQL Server PostgreSQL Oracle NoSQL Databases Enterprise Data Warehousing Preferred Experience Experience leading enterprise-wide data modernization and cloud transformation programs. Strong background in Databricks, Cloudera, Snowflake, and Hadoop-based ecosystems. Experience designing large-scale data platforms for analytics, AI/ML, and enterprise reporting. Experience working with distributed systems, high-volume data processing, and real-time streaming. Experience with enterprise architecture frameworks, governance models, and technology roadmaps. Consulting or customer-facing architecture experience is highly desirable. Soft Skills Executive stakeholder management Strategic thinking and technology vision Enterprise architecture leadership Strong communication and presentation skills Technical consulting and customer engagement Problem-solving and decision-making Ability to influence across business and technology teams Strong leadership, collaboration, and mentoring skills Piyush Chowdhary Sr. Delivery Manager/Account Manager Tanisha Systems Inc Desk no. Email: Web: Linkedin URL: Piyush Chowdhary - Irvine, California, United States Professional Profile LinkedIn Address:99 Wood Ave South Suite # 308,Iselin, NJ 08830 . click apply for full job details

Job Description Job Description Solution Architect Data Migration / LIMS Location: New Haven, CT Onsite Flexibility: Hybrid Contract Details Position Type: Contract Contract Duration: 1 month (approximately 20 hours per week) (40 hours/week) Pay Rate: $70.00 $88.00 / Hour (USD) Shift / Schedule: Days (approximately 20 hours per week during initial assessment phase; ramp-up to approximately 40 hours per week following the initial assessment) Work Authorization: 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. Job Summary Our client is seeking an experienced Solution Architect Data Migration / LIMS to lead the technical design and execution of a laboratory data migration initiative. The initial engagement will focus on a 5-week data assessment and migration planning phase , with approximately 20 hours per week expected to start. Strong delivery during this phase is expected to lead to an expanded engagement, with the broader program anticipated to run for at least several months and potentially extend for months . This role is ideal for a hands-on architect who can both define the migration strategy and work directly with technical teams to execute data profiling, mapping, transformation, validation and reconciliation activities. Key Responsibilities Lead end-to-end LIMS data migration initiatives , from assessment and planning through execution and validation. Design and execute ETL/ELT pipelines covering data extraction, transformation, mapping, loading and reconciliation. Define source-to-target mappings, migration architecture, technical specifications and migration standards. Perform data profiling, cleansing, transformation, validation and exception handling. Analyze source and target data structures to identify data gaps, quality issues and transformation requirements. Lead and support multiple migration cycles, including mock migrations, testing and production readiness. Troubleshoot migration issues across ETL, validation and reconciliation cycles and drive issues through resolution. Develop or support automation for data transformation, validation and reconciliation activities. Partner with business, laboratory and functional teams to translate migration requirements into scalable technical solutions. Provide technical leadership and guidance across LIMS, data engineering, integration and migration workstreams. Ensure migration outcomes meet agreed quality, completeness and traceability requirements. Required Skills Strong hands-on experience with LIMS platforms , ideally: - Thermo Fisher SampleManager - LabWare LIMS Proven experience delivering complex data migration and ETL/ELT initiatives . Strong experience with: - Source-to-target mapping - Data transformation - Data validation - Data reconciliation - Data profiling and cleansing - Exception handling Experience executing multiple migration cycles, including mock migrations and production cutover preparation . Strong SQL skills and experience working with relational databases such as SQL Server and Oracle . Experience using Python or similar scripting languages for data transformation, migration automation or validation. Strong understanding of complex data structures and large-scale data migration environments. Strong troubleshooting, communication and stakeholder management capabilities. Preferred Skills Strong functional understanding of R&D and Quality Control laboratory processes . Experience supporting LIMS migrations within pharmaceutical, biotechnology, life sciences or other regulated laboratory environments. Experience integrating applications and data through REST APIs, SOAP APIs and file-based interfaces. Experience defining migration architecture and technical standards across multiple systems or workstreams. Previous experience working directly with business and laboratory stakeholders to translate operational requirements into technical migration solutions. Required Experience 8 10 years of experience in solution architecture, data migration, data engineering or related technical delivery roles. Work Environment / Physical Requirements Work Model: Primarily remote with hybrid on-site requirement. On-Site Requirement: Approximately 2 days per week on alternate weeks; flexibility may be available for strong remote candidates. Client Location: New Haven, Connecticut. Benefits Medical, Vision, and Dental Insurance Plans 401k Retirement Fund About GTT GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada. Job Number: 26-14593 Industry: Software Engineering

Job Description Job Description About ParetoHealth ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model. Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs. By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people. Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another. If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you. Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future. Position Summary: As Principal Data Architect, you will define and drive the enterprise data architecture strategy across ParetoHealth, enabling trusted, connected, secure, and AI-ready data products that power business intelligence, advanced analytics, and intelligent automation. You will work across business, product, engineering, analytics, and AI teams to translate complex business needs into scalable data platforms and architectures. You will bring deep expertise in modern data architecture, strong technical judgment, and the ability to navigate complex data ecosystems, ideally within healthcare, health insurance, employee benefits, or financial services. This is a hands-on architecture leadership role for someone who can think strategically, influence across the organization, and drive implementation from vision to execution. Key Responsbilities: Enterprise Data Architecture & Strategy Define and evolve the enterprise data architecture, data models, integration patterns, and technology standards to support ParetoHealth's business and technology strategy. Design scalable, resilient, and cost-effective data architectures across operational systems, analytical platforms, and data products. Establish canonical data models and shared business entities across domains, enabling consistent definitions and reliable data exchange. Drive architectural decisions that balance immediate business needs with long-term scalability, flexibility, and maintainability. Modern Data Platforms & Engineering Architect modern cloud-based data platforms and lakehouse or warehouse solutions that support batch, streaming, and near-real-time data processing. Establish patterns for data ingestion, transformation, orchestration, data quality, metadata management, lineage, and observability. Enable interoperable data products and APIs that make trusted data accessible to applications, analytics, and AI systems. Partner with engineering teams to establish best practices for data modeling, platform reliability, performance, security, and cost optimization. Healthcare & Insurance Data Design data architectures that integrate complex, fragmented data across healthcare, health insurance, employee benefits, employer groups, claims, eligibility, provider networks, and financial systems, as applicable. Develop a strong understanding of healthcare benefits and insurance business processes, data entities, and industry-specific interoperability requirements. Enable secure and governed access to sensitive healthcare and personally identifiable information, incorporating HIPAA and other applicable regulatory and privacy requirements. Translate complex healthcare and insurance data into consistent, usable models that support business operations, financial analysis, cost transparency, and better decision-making. AI, Analytics & Data Products Build an AI-ready data foundation that enables machine learning, generative AI, agentic workflows, and intelligent automation. Define architectures for high-quality, contextual, discoverable, and governed data that can be safely consumed by AI applications. Partner with data science, analytics, product, and engineering teams to enable predictive insights, operational intelligence, and data-driven product innovation. Establish data product principles that emphasize business ownership, trusted metrics, reusability, and measurable business outcomes. Technical Leadership & Governance Serve as a trusted technical advisor to engineering, product, business, security, and executive stakeholders. Define architectural standards, reference architectures, design principles, and technical roadmaps. Drive alignment across teams and influence decisions without relying solely on formal authority. Mentor senior engineers and data architects, raise the bar for technical excellence, and foster a culture of accountability and continuous improvement. Required Qualifications / Skills: 12+ years of experience in data architecture, data engineering, data platforms, or related technical disciplines, with demonstrated experience leading enterprise-scale architecture. Proven track record designing and implementing modern cloud data platforms and complex data integration architectures. Strong expertise in data modeling, dimensional and relational modeling, distributed data processing, data pipelines, and data platform design. Experience with modern data technologies such as Snowflake, Databricks, cloud-native data services, Kafka or equivalent streaming technologies, dbt, and contemporary orchestration tools. Strong understanding of data governance, metadata, lineage, data quality, access controls, privacy, and security. Experience architecting data platforms that support enterprise analytics, operational applications, and AI/ML use cases. Ability to communicate complex technical concepts clearly and influence senior technical and business stakeholders. Demonstrated ability to move from architecture strategy to practical implementation and measurable outcomes. Preferred Qualifications: Experience in healthcare, health insurance, employee benefits, healthcare technology, or payer/provider ecosystems. Familiarity with healthcare data standards and interoperability frameworks such as FHIR, HL7, X12, and relevant claims and eligibility data formats. Experience working with sensitive healthcare or insurance data in regulated environments, including HIPAA compliance requirements. Knowledge of healthcare economics, medical and pharmacy claims, stop-loss insurance, self-funded employer health plans, or benefits administration. Experience building governed data products and AI-ready platforms that enable advanced analytics and intelligent automation. Experience modernizing legacy data ecosystems and integrating data across acquisitions, multiple platforms, or fragmented enterprise systems. Perks & Benefits: Fully paid medical, dental, and vision benefits. Flexible PTO 401k company contribution Tuition reimbursement Professional development allowance Transportation allowance and daily parking reimbursement Engaging hybrid work environment We are guided by our values: Fire in the belly The drive to learn, to improve, and to deliver outstanding value every day. See the field The ability to see the big picture and prepare to meet tomorrow's needs. Get it done right The passion to produce at higher rates and to the highest standards. For the greater good A united community creating better health benefit solutions for all. Please note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information. We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with email address.Disclosures:ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services . click apply for full job details

Job Description Job Description SENIOR FULL STACK ENGINEER (M ES ) Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. In this role, you will design and build the Manufacturing Execution System (MES) that serves as the digital backbone of Freeform's autonomous metal production factories, connecting the full manufacturing lifecycle from quoting and work orders through scheduling, production, quality, and delivery. You'll build scalable systems that manage complex factory workflows, large volumes of production and machine data, and complete end to end traceability and part genealogy from powder-in to finished parts-out. Working closely with product management and engineers across software, manufacturing, automation, and quality, you'll make foundational technical decisions and develop the software that enables Freeform's factories to operate efficiently, intelligently, and at scale. 3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! Responsibilities: Architect and implement a state-of-the-art enterprise software platform to seamlessly integrate Freeform's business processes from sales to manufacturing Develop applications to track the end-to-end lifecycle of millions of parts across thousands of customers around the world Act as engineer, product owner, and team lead - scoping features, driving pace of schedule, assigning tasks, and delivering results Work cross-functionally with other engineering and operations disciplines to gather requirements and solve problems with your code Design highly scalable and resilient systems to meet Freeform's high bar for quality, reliability, and security Maintain accessibility and integrity of the backend data model to enable easy access for business intelligence users Design and develop intuitive user interfaces with a focus on functionality over aesthetics to increase system usability Basic Qualifications: Degree in computer science, engineering, information systems, mathematics, or related field 5+ years of professional experience in software development with Python, Go, Java, or similar Experience with backend web frameworks such as Flask or Django Experience with frontend web frameworks such as React or Next.js Experience writing applications which interact with SQL databases and non-relational databases Nice to Have: 10+ years of experience in software development Experience as a team lead, architect, product owner, or similar technical leadership scope Prior experience architecting and implementing a custom ERP, MRP, MES, CRM, e-commerce, logistics, warehouse management, fleet management, or similar complex software system Excellent written and verbal communication skills Ability to gather and define requirements from technical audiences Comfortable "building the plane as we fly it" Location: Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country. Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions. What We Offer: We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions. We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology. Benefits Significant stock option packages 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options) Life insurance Traditional and Roth 401(k) Relocation assistance provided Paid vacation, sick leave, and company holidays Generous Paid Parental Leave and extended transition back to work for the birthing parent Free daily catered lunch and dinner, and fully stocked kitchenette Casual dress, flexible work hours, and regular catered team building events Compensation As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role. In addition to the significant stock option package, the estimated salary range for this role is $150,000-$250,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact. Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Job Description Job Description Position Overview We are seeking a seasoned, hands-on Senior AI Agent Developer on a contract basis to lead the design, development, testing, and deployment of enterprise-grade conversational AI agents and intelligent workflow automations. In this role, you will be instrumental in architecting Conversational AI solutions natively within Google Cloud Platform (specifically leveraging GECX / Dialogflow CX), orchestrating multi-cloud integrations across Azure and ServiceNow, establishing automated CI/CD deployment pipelines in Azure DevOps, and validating systems through automated test frameworks. The ideal candidate brings strong polyglot development capability across .NET, Python (must have), TypeScript, and JavaScript , deep multi-cloud experience, and a proven track record delivering within a Scaled Agile Framework (SAFe) environment. Key Responsibilities Agent Architecture & Implementation: Design, build, train, and test conversational flows, intents, custom route groups, and LLM-powered tools within Google Cloud Platform using GECX / Dialogflow CX. Full-Stack & Backend Integration: Develop robust RESTful APIs, webhooks, and microservices in .NET, Python, or Node.js to integrate conversational agents with ServiceNow and Azure enterprise systems. DevOps & Pipeline Automation: Build, maintain, and enhance automated CI/CD pipelines in Azure DevOps for environment provisioning, validation, and continuous deployment of agent configurations and fulfillment services. Automated Quality Engineering: Implement automated test suites covering unit logic, webhook APIs, dialog flow regressions, and end-to-end conversational journeys. Data Querying & Performance Tuning: Write and optimize complex SQL queries for conversational analytics, reporting, and backend data operations. Agile Execution: Actively participate in SAFe Agile ceremonies, including Program Increment (PI) planning, sprint execution, backlog refinement, and cross-team dependency mapping. Required Skills & Qualifications Deep Conversational AI Expertise (GECX / Dialogflow CX): Proven track record of designing, building, and deploying enterprise-scale virtual agents using Google Cloud Platform conversational frameworks, specifically GECX / Dialogflow CX, including state handlers, route groups, webhook fulfillment, condition rules, and generative agent capabilities. Core Polyglot Development (.NET, Python, TypeScript, JavaScript): Extensive hands-on experience building backend services, API fulfillment webhooks, and asynchronous workflows using .NET (C#) alongside Python, TypeScript, and JavaScript . Automated Testing & Quality Engineering: Strong hands-on experience implementing automated testing strategies for conversational systems and APIs-including unit testing, mock services, integration testing, and regression test suites for dialog flows using modern test frameworks (e.g., NUnit/xUnit, PyTest, Jest, or Postman/Newman). Automated CI/CD Implementation in Azure DevOps: Demonstrated mastery in designing and configuring production-ready CI/CD pipelines in Azure DevOps (YAML pipelines, release gates, automated linting, test execution, and deployment artifacts). Enterprise Multi-Cloud Integration (Azure & ServiceNow): In-depth experience integrating distributed cloud services across multi-cloud environments, specifically connecting conversational agents with ServiceNow APIs (Incident, Change, Service Catalog, Flow Designer) and Azure services. Advanced SQL & Enterprise Data Operations: Strong proficiency in writing complex SQL queries, relational database modeling, and data manipulation to support dynamic agent lookups, reporting, and transactional verification. SAFe Agile Methodology Experience: Solid experience operating within a Scaled Agile Framework (SAFe) enterprise environment, actively engaging in Program Increment (PI) planning, sprint iterations, user story sizing, and coordinating cross-functional ART (Agile Release Train) dependencies. Modern Development Workflow & Tooling (VS Code / Antigravity): Fluency with professional developer toolchains, Git-based version control, and proficiency coding, debugging, and running local emulations inside modern IDE environments like VS Code or Antigravity . AI Agent Architecture & Fallback Orchestration: Demonstrated capability to architect fault-tolerant conversational agent interactions, context and session variable management, prompt engineering, intent classification, and seamless human escalation / fallback workflows. Enterprise Security & Cloud Fundamentals: Practical knowledge of securing multi-cloud integrations, including OAuth2, API key management, role-based access control (RBAC), and secrets handling across GCP, Azure, and ServiceNow. Preferred / Nice-to-Have Qualifications Familiarity with Contact Center AI (CCAI) architectures and telephony/voice gateway integrations. Experience with Site Reliability Engineering (SRE) principles, telemetry/observability, and AIOps event correlation. Experience with containerization (Docker, Kubernetes) and serverless deployment models (Cloud Run, Google Cloud Functions, Azure Functions). Tooling & Environment Conversational AI & Cloud: Google Cloud Platform (GECX / Dialogflow CX, Vertex AI), Microsoft Azure Languages & Runtimes: .NET (C#), Python 3.x, Node.js / TypeScript / JavaScript, SQL DevOps & Testing: Azure DevOps (Pipelines, Repos), Git, Automated API/Unit Testing Frameworks Enterprise Platforms: ServiceNow (REST APIs, Flow Designer) Agile Framework: SAFe (Scaled Agile Framework), Jira / Azure Boards Development Environments: Visual Studio Code (VS Code), Antigravity

Job Description Job Description On-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You're someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline - especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase , and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means "more" in Spanish - and that's what we stand for. We believe in providing more opportunities, more inclusion, and more impact . Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company , recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US . We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement , embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities Design and develop RESTful APIs and microservices using Java (11+) , Spring Boot , and Spring Cloud frameworks. Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming). Deploy and manage services on AWS ECS/Fargate , using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation. Integrate and maintain data flows with Cassandra , AWS S3 , or Spark-based pipelines . Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions. Leverage Python for automation, data validation, or integration scripting (nice-to-have). Ensure quality through Test-Driven Development , automated testing, and continuous integration practices. Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems. Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices. Champion best practices in security, code quality, and documentation , ensuring compliance with Chase's standards. You Have: BS/BA degree or equivalent experience in Computer Science, Engineering, or related field. 7+ years of experience building enterprise-grade applications using Java / Spring Boot . Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda). Solid understanding of Kafka , Docker/Kubernetes , and distributed system design. Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions). Experience with frontend frameworks like React or Angular for full-stack delivery. Familiarity with Cassandra , SQL/NoSQL databases , and data streaming concepts. Working knowledge of Python3 for automation or data processing (nice-to-have). Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting. Experience working in Agile environments and collaborating in cross-functional teams. Excellent communication skills - able to explain technical concepts to both engineers and product stakeholders. Bonus Skills (Nice to Have): Knowledge of Apache Spark , Flink , or data engineering concepts. Familiarity with financial services, regulated environments , or compliance-heavy systems. Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic. Awareness of performance testing , NFR validation , and resilience patterns (DLQ, retries, fallback). Benefits Health: Medical, dental, and vision coverage. Time Away: Vacation, holidays, wellness days, and parental leave. Financial: 401(k), basic life, and AD&D insurance. Growth: Ongoing technical learning, certification reimbursement, and leadership development. Equal Opportunity Statement At MAS Global, diversity and inclusion are at the heart of our identity. We celebrate individuality and believe that everyone deserves a fair opportunity to grow and succeed. We are proud to be a woman-owned, minority-led company and an equal opportunity employer . Powered by JazzHR eo3X22hHCS

Job Description Job Description Our client a leading asset management firm, located in New York City is looking to hire a C# Full Stack Enterprise Developer. This is a Full Time Position. Work will be conducted 3 days in office and 2 day from home. Citizens and those authorized to work in the U.S. are encouraged to apply. Qualified candidates should send their resumes (Word Format) along with salary expectations to . As an Enterprise Developer within Investment & Trading Technology, you will design, develop, maintain, and enhance enterprise applications supporting the firm's accounting, trading and compliance platforms. This role involves full-stack development across front-end, back-end, cloud, integration, and reporting technologies while partnering closely with business users and senior management to deliver scalable and efficient technology solutions. The ideal candidate is a hands-on developer with experience in financial systems, modern software engineering practices, cloud technologies, and AI-assisted development practices to improve productivity, automation, and solution delivery. Key Responsibilities Design and implement scalable full-stack software solutions. Participate in the migration of existing accounting systems to a new third-party platform and serve as the primary technology resource responsible for ongoing support, maintenance, and enhancements post-implementation. Develop back-end systems utilizing technologies including C#, ASP.NET Web API, .NET Framework/.NET Core, and T-SQL (SQL Server). Develop modern front-end applications utilizing technologies including Blazor, Bootstrap, React, and Angular. Develop cloud-based applications and migrate existing applications to Microsoft Azure. Design and implement automation solutions for accounting and trading-related business processes. Translate functional and business requirements into scalable technical solutions and architectures aligned with business objectives. Leverage AI-assisted development practices and tools to improve engineering productivity, development efficiency, and solution quality. Qualifications Bachelor's or master's degree in computer science, Information Technology, or related field. Extensive experience in designing and implementing enterprise solutions. 5 years full stack development of enterprise applications and web technology. Experience with Azure DevOps, CI/CD pipelines, source control, and database deployment practices. Financial services or asset management experience is preferred. Experience in Portfolio Management & Trading Systems. Experience developing integrations/interfaces for accounting systems, along with a strong understanding of accounting platform functionality and workflows. Experience with portfolio management and trading systems technologies. Knowledge of Security Master, security pricing, Bloomberg data, and post-trade processing is preferred. Experience with Charles River OMS, Advent Portfolio Exchange (APX), Clearwater Analytics is a plus. Experience developing cloud-based applications and migrating existing applications to Microsoft Azure. Strong knowledge of software development methodologies, application architectures, and modern development tools. Experience with application modernization, modularization, and Microservices Architecture. Experience with DevOps practices, including CI/CD pipelines, deployment automation, and release management. Proficiency with .NET technologies including .NET Core, C#, ASP.NET, Angular, and Power BI. Expertise in T-SQL, SSRS, and SQL Server database technologies. Excellent verbal and written communication skills. Financial services or asset management industry experience is preferred. Experience with Azure development, Power Apps, Power Automate, and SharePoint. Relevant Microsoft, Azure, or technology certifications are considered a plus. Comfortable leveraging AI-assisted development practices and tools to improve engineering productivity and solution delivery.

Job Description Job Description Shape the Future of AI. Transform the World's Leading Businesses. Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact. We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India At Tiger Analytics, we don't just help businesses adapt to the future-we help them build it We are looking for a Lead Data Scientist with strong experience in pharmaceutical commercial analytics, patient-level modeling, and healthcare data science. The ideal candidate will have hands-on experience working with US claims and real-world data (RWD) to develop predictive models, generate actionable insights, and optimize HCP engagement and commercial strategies. The role requires strong technical expertise, leadership capabilities, and the ability to work directly with clients and present analytical findings to senior stakeholders. Responsibilities: Develop patient- and HCP-level models to support patient identification, treatment switching, and therapy persistence. Build predictive models and analytics solutions to drive next-best-action recommendations and multichannel engagement strategies. Design and evaluate experiments, including holdout groups and lift measurement, to assess the effectiveness of commercial campaigns. Apply explainable machine learning techniques, including gradient boosting and SHAP, to improve model transparency and interpretability. Analyze US healthcare claims, real-world data (RWD), CRM, and promotional data to generate actionable business insights. Work with large datasets using Python, SQL, and platforms such as Databricks or Snowflake. Lead a client-facing data science team, ensuring high-quality delivery and alignment with business objectives. Present analytical findings, model outcomes, and strategic recommendations to brand leadership and other senior stakeholders. Collaborate with cross-functional teams to translate business challenges into scalable data science solutions. Requirements Strong experience in pharmaceutical commercial analytics and healthcare data science. Hands-on experience working with US healthcare claims and real-world data, using platforms or providers such as IQVIA, Komodo Health, or PurpleLab. Experience with Veeva CRM data and pharmaceutical promotional data. Expertise in patient-level and HCP-level modeling, including patient identification, treatment switching, and persistence. Experience developing next-best-action models and multichannel analytics solutions. Strong knowledge of experimental design, holdout strategies, and campaign lift measurement. Proficiency in Python and SQL, with experience using Databricks or Snowflake. Experience with gradient boosting techniques and explainable AI methods such as SHAP. Proven ability to lead data science teams, manage client relationships, and communicate insights to senior stakeholders. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.