Data Engineering Manager

Location: Remote - Hartford, CT Employment Type: Contingent Worker (Contract, W2) Contract Length: 12 months (possible extension) Compensation: Open Market Rate Summary of the Role Support 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. Collaborate directly with business stakeholders to identify opportunities, build scalable digital solutions, and ensure compliance and scalability. This hands-on role is ideal for a technical developer who thrives in translating business challenges into practical technology solutions. Key Responsibilities Design, develop, test, and implement AI, GenAI, custom GPT, automation, and data-driven solutions Partner with business stakeholders to understand operational challenges and identify digital automation opportunities Build and configure AI tools, automation workflows, and data analytics solutions using various platforms and coding languages Write or adapt code, scripts, and workflows as needed to solve business problems Ensure digital and AI solutions are secure, scalable, compliant, and sustainable Support data standardization, data transformation, and validation efforts Translate business requirements into technical designs, prototypes, MVPs, and scalable solutions Document technical designs, workflows, business rules, data logic, and support procedures Test, validate, troubleshoot, and enhance digital or AI-enabled solutions Communicate effectively with both technical and non-technical stakeholders Required Experience & Skills Hands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutions Ability to build or configure custom GPTs, AI assistants, chatbots, or GenAI-enabled solutions Experience writing or adapting code, scripts, workflows, or automation logic Working knowledge of Python, SQL, JavaScript, Power Platform, Power Automate, APIs, or similar tools Experience with tools such as Microsoft Copilot Studio, Azure OpenAI, Power Apps, Databricks, Snowflake, Alteryx, Tableau, Power BI, SharePoint, Jira, or Confluence Experience with embedding, semantic search, vector databases, and document intelligence Understanding of prompt engineering, AI solution design, workflow automation, and data transformation Proven ability to translate business requirements into technical solutions Experience with structured and unstructured data processing, including extraction, cleansing, mapping, validation, and transformation Strong business analysis, requirements gathering, process mapping, and documentation skills Collaboration skills for working with business and technical teams Ability to test, validate, troubleshoot, and enhance digital solutions Strong documentation and communication skills Preferred Qualifications Experience in global supply chain, distribution, logistics, manufacturing, biotech, pharmaceutical, or regulated industries Familiarity with software development practices, version control (GitHub), APIs, testing frameworks, CI/CD, or MLOps Automation development for reporting, data reconciliation, exception management, workflow routing, or dashboards Understanding of data governance, master data management, metadata, data stewardship, data lineage, and data quality frameworks Familiarity with supply chain processes such as order management, inventory, warehouse operations, transportation, cold chain, serialization, trade compliance, or distribution planning Experience with Agile, SAFe, product ownership, or digital product delivery Knowledge of responsible AI, data privacy, cybersecurity, and compliance for enterprise AI solutions Professional 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 Engineering Top 3 Must Have Skills

1. Hands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutions
2. Ability to build or configure custom GPTs, AI assistants, chatbots, prompt-based workflows, or similar GenAI solutions
3. Experience writing or adapting code, scripts, workflows, or automation logic

Day-to-Day Responsibilities Translate business requirements into technical designs and scalable solutions Work with structured and unstructured data for extraction, cleansing, mapping, validation, and transformation Conduct requirements gathering, process mapping, documentation, and engage with stakeholders Basic Qualifications Master'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 field Bachelor'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 field Diploma 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 ADVANCED BIO-LOGIC SOLUTIONS