Data Engineering Manager
Job TitleSupport the global distribution organization of a large biotech pharmaceutical leader by designing, developing, and implementing AI, GenAI, custom GPT, automation, and data-enabled solutions to enhance business processes and operational efficiency.Location: Remote - Hartford, CTEmployment Type: Contingent Worker (Contract, W2)Contract Length: 12 months (possible extension)Compensation: Open Market RateKey ResponsibilitiesDesign, develop, test, and implement AI, GenAI, custom GPT, automation, and data-driven solutionsPartner with business stakeholders to understand operational challenges and identify digital automation opportunitiesBuild and configure AI tools, automation workflows, and data analytics solutions using various platforms and coding languagesWrite or adapt code, scripts, and workflows as needed to solve business problemsEnsure digital and AI solutions are secure, scalable, compliant, and sustainableSupport data standardization, data transformation, and validation effortsTranslate business requirements into technical designs, prototypes, MVPs, and scalable solutionsDocument technical designs, workflows, business rules, data logic, and support proceduresTest, validate, troubleshoot, and enhance digital or AI-enabled solutionsCommunicate effectively with both technical and non-technical stakeholdersRequired Experience & SkillsHands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutionsAbility to build or configure custom GPTs, AI assistants, chatbots, or GenAI-enabled solutionsExperience writing or adapting code, scripts, workflows, or automation logicWorking knowledge of Python, SQL, JavaScript, Power Platform, Power Automate, APIs, or similar toolsExperience with tools such as Microsoft Copilot Studio, Azure OpenAI, Power Apps, Databricks, Snowflake, Alteryx, Tableau, Power BI, SharePoint, Jira, or ConfluenceExperience with embedding, semantic search, vector databases, and document intelligenceUnderstanding of prompt engineering, AI solution design, workflow automation, and data transformationProven ability to translate business requirements into technical solutionsExperience with structured and unstructured data processing, including extraction, cleansing, mapping, validation, and transformationStrong business analysis, requirements gathering, process mapping, and documentation skillsCollaboration skills for working with business and technical teamsAbility to test, validate, troubleshoot, and enhance digital solutionsStrong documentation and communication skillsPreferred QualificationsExperience in global supply chain, distribution, logistics, manufacturing, biotech, pharmaceutical, or regulated industriesFamiliarity with software development practices, version control (GitHub), APIs, testing frameworks, CI/CD, or MLOpsAutomation development for reporting, data reconciliation, exception management, workflow routing, or dashboardsUnderstanding of data governance, master data management, metadata, data stewardship, data lineage, and data quality frameworksFamiliarity with supply chain processes such as order management, inventory, warehouse operations, transportation, cold chain, serialization, trade compliance, or distribution planningExperience with Agile, SAFe, product ownership, or digital product deliveryKnowledge of responsible AI, data privacy, cybersecurity, and compliance for enterprise AI solutionsProfessional certifications such as AI, GenAI, Prompt Engineering, Microsoft Power Platform, Azure AI, Data Analytics, Automation/RPA, Agile/SAFe, APICS/CSCP/CPIM, Business Analysis, Cloud, Databricks, or Data EngineeringTop 3 Must Have SkillsHands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutionsAbility to build or configure custom GPTs, AI assistants, chatbots, prompt-based workflows, or similar GenAI solutionsExperience writing or adapting code, scripts, workflows, or automation logicDay-to-Day ResponsibilitiesTranslate business requirements into technical designs and scalable solutionsWork with structured and unstructured data for extraction, cleansing, mapping, validation, and transformationConduct requirements gathering, process mapping, documentation, and engage with stakeholdersBasic QualificationsMaster's degree and 3 to 5 years of relevant experience in Computer Science, Information Systems, Data Analytics, Engineering, Supply Chain, Digital Transformation, Automation, or a related fieldBachelor's degree and 5 to 7 years of relevant experience in Computer Science, Information Systems, Data Analytics, Engineering, Supply Chain, Digital Transformation, Automation, or a related fieldDiploma and 9 to 11 years of relevant experience in Digital Solutions, Automation, Data Analytics, Software Development, Supply Chain Systems, or a related field.This posting is for Contingent Worker, not an FTE