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