Mgr Data Engineering #26-17921

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. They are seeking a Manager of Data Engineering to support the Global Distribution organization by designing, developing, testing, and implementing AI and digital automation solutions that enhance business processes and operational efficiency.

Responsibilities:

• Ability to translate business requirements into technical designs, prototypes, MVPs, and production-ready or scalable solutions
• Experience working with structured and unstructured data, including data extraction, cleansing, mapping, validation, and transformation
• Strong business analysis skills, including requirements gathering, process mapping, documentation, and stakeholder engagement

Requirements:

• 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 OR
• 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 OR
• Diploma and 9 to 11 years of relevant experience in Digital Solutions, Automation, Data Analytics, Software Development, Supply Chain Systems, or a related field
• Hands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutions
• Ability to build or configure custom GPTs, AI assistants, chatbots, prompt-based workflows, or similar GenAI-enabled solutions
• Experience writing or adapting code, scripts, workflows, or automation logic to solve business problems
• Working knowledge of Python, SQL, JavaScript, Power Platform, Power Automate, APIs, or similar development / automation tools
• Experience with Microsoft Copilot Studio, Azure OpenAI, OpenAI GPTs, Power Apps, Power Automate, Databricks, Snowflake, Alteryx, Tableau, Power BI, SharePoint, Jira, Confluence, or similar tools
• Experience with retrieval-augmented generation, embeddings, semantic search, vector databases, document intelligence, or knowledge management solutions
• Strong understanding of prompt engineering, AI solution design, workflow automation, data transformation, and user-centered solution development
• Ability to translate business requirements into technical designs, prototypes, MVPs, and production-ready or scalable solutions
• Experience working with structured and unstructured data, including data extraction, cleansing, mapping, validation, and transformation
• Strong business analysis skills, including requirements gathering, process mapping, documentation, and stakeholder engagement
• Ability to partner with business users and technical teams to design solutions that are practical, compliant, scalable, and easy to adopt
• Experience testing, validating, troubleshooting, and enhancing digital or AI-enabled solutions
• Strong documentation skills for technical designs, business rules, workflows, prompts, data logic, and support procedures
• Strong communication skills with the ability to explain technical solutions to business users and business needs to technical teams
• Hands-on builder mindset with the ability to move quickly from idea to prototype to implementation
• Strong problem-solving skills and comfort working with ambiguity
• Ability to understand business pain points and design practical technical solutions
• Strong collaboration skills across business, technology, data, and compliance teams
• Ability to influence without authority and guide stakeholders toward scalable solutions
• Strong communication and presentation skills for both technical and non-technical audiences
• Strong attention to detail when working with data, automation logic, prompts, business rules, and documentation
• Outcome-oriented mindset with focus on measurable business value, usability, and adoption
• Ability to manage multiple priorities and deliver in a global, matrixed environment
• AI, GenAI, or Prompt Engineering Certification
• Microsoft Power Platform Certification
• Azure AI / Azure OpenAI Certification
• Data Analytics Certification
• Automation or RPA Certification
• Agile / SAFe Certification
• Supply Chain Certification, such as APICS, CSCP, or CPIM
• Business Analysis Certification
• Cloud, Databricks, or Data Engineering Certification