What are the responsibilities and job description for the Digital Transformation Strategist I position at HL Mando America Corp?
Job Title: Digital Transformation Strategist I, II, & III
Department: CEO Direct
Location: Alabama
Reports to: Sr. Manager of Operational Excellence
Job Purpose:
The Digital Transformation Strategist leads data-driven initiatives that enhance operational efficiency, automate business processes, and drive innovation across manufacturing, supply chain, and corporate functions. This role evaluates and deploys digital technologies—including RPA, machine learning, generative AI, and smart-factory automation—aligned with Mando’s global business objectives.
The position works cross-functionally with HQ Gen AI, IT, Operation and Finance to design scalable digital solutions and ensure successful technology adoption.
Responsibilities include the following (other duties may be assigned as needed):
1. Digital Strategy & Innovation
- Identify, evaluate, and prioritize digital technologies (AI/ML, RPA, GenAI, automation software) that improve productivity, quality, and decision-making across MCA operations.
- Conduct feasibility studies for new digital tools, including integration potential with G-MES, SAP, PLM, and supply-chain systems.
- Develop roadmap proposals for smart-factory initiatives such as automated material handling, logistics optimization, and sensor-based process control.
2. Automation Development & Deployment
- Design and build RPA workflows (UiPath) to automate repetitive tasks in PC, MC, Purchasing, Finance, HR, and quality operations.
- Lead implementation of generative AI capabilities for document drafting, reporting automation, knowledge retrieval, and workforce productivity enhancement.
- Collaborate with IT to ensure integration, security compliance, and sustainable system maintenance.
3. Machine Learning & Predictive Analytics
- Develop machine-learning models to forecast OEM automotive parts demand using OEM EDI, production plans, MRP, macroeconomic variables, and historical data.
- Build predictive analytics dashboards to support supply chain planning, inventory optimization, and scenario analysis.
- Partner with HQ Gen AI team, external partners, and internal data owners to expand datasets and validate model accuracy.
4. Smart Factory & Operations Optimization
- Lead discovery of digital use-cases in manufacturing (OEE improvement, defect prediction, real-time inventory visibility, logistics automation).
- Evaluate ROI for automation tools (AGV, vision systems, sensor networks, digital twins).
- Work with Operations, Maintenance, and Engineering to successfully pilot and scale smart-factory projects across A1, G1, and G2 sites.
5. SCM & Process Transformation
- Lead process mapping, bottleneck identification, and optimization for PD, PC/MC, Quality workflows (material flow, label accuracy, inbound/outbound planning, inventory alignment).
- Recommend enhancements to ERP/G-MES processes to improve data accuracy, lead-time reliability, and cross-department coordination.
Qualifications:
- Bachelor’s degree in Engineering, Data Science, IT, Supply Chain, or related field.
- 1–7 years experience in digital transformation, automation, analytics, or operations improvement.
- Hands-on experience with:
- RPA development (UiPath)
- Python/ML frameworks (Pandas, Scikit-learn, TensorFlow preferred)
- SQL and dashboarding (Power BI/Tableau)
- Strong understanding of manufacturing, supply chain, or automotive processes.
- Ability to work independently and collaboratively across global teams.
Preferred Qualifications:
- Experience with SAP (MM, PP, QM), GMES/MES, PLM, or warehouse automation systems.
- Familiarity with generative AI use-cases and prompt engineering.
- Experience in process mining, digital twin, or predictive maintenance.
- Background in lean manufacturing, operational excellence, or Six Sigma.
Non-Technical Competencies:
- Strong problem identification and analytical skills.
- Excellent verbal and written communication skills.
- Meticulous attention to detail and accuracy.
- Ability to cultivate and maintain collaborative relationships across various levels and functions.