Solutions Architect Candidate
Candidate should reside in North Carolina, South Carolina or Georgia
Ideal Educational Background:
• Bachelor’s or Master’s degree in engineering (Mechanical, Electrical, Industrial) or a related field.
• Advanced coursework or certifications in data analytics, AI, or data science is a plus.
Work Experience:
• 5+ years of experience in a manufacturing environment, with hands-on involvement in continuous improvement initiatives (e.g., Lean, Six Sigma, Kaizen, Total Productive Maintenance" OR (TPM))
• Proven track record of implementing data-driven solutions that improve manufacturing processes.
• Experience in a role where cross-functional collaboration with process and IT teams was essential.
• Familiarity with manufacturing IT systems (MES, ERP, SCADA) and data integration.
Technical Skills:
• Strong understanding of manufacturing processes and how to leverage data to optimize those processes.
• Proficient in data analysis tools (e.g., Python, R, SQL) and familiarity with AI/ML concepts.
• Experience with data validation, data wrangling, and performing gap analyses.
• Understanding of data governance and the ability to ensure data quality.
Soft Skills:
• Excellent communication and interpersonal skills, with the ability to speak the language of both the customer and the data science team.
• Positive, energetic demeanor with a passion for solving complex problems.
• Ability to translate technical concepts into business value propositions for non-technical stakeholders.
Who Is Delta Bravo AI?
• Delta Bravo Artificial Intelligence works with manufacturers seeking to improve production outcomes with AI.
• Delta Bravo's technology uncovers hidden patterns and correlations across production data, using AI to simplify processes, improve quality, drive greater throughput and improve workforce readiness.
• Based in South Carolina (near Charlotte, NC), Delta Bravo opened in 2016 and is actively working with leading manufacturing brands.
• Delta Bravo is growing quickly so there are opportunities for leadership. Your voice will be heard, your feedback taken seriously. You’ll have a direct relationship with the management team and CEO.
• You’ll get an inside look into how some of the greatest processes in industry work- and have a key role in how AI can make them better.