Job
Description
The Opportunity: We are seeking a highly experienced and technically proficient Solution Consultant to join our growing team. In this pivotal role, you will be responsible for translating complex Supply Chain business challenges within the manufacturing industry into innovative Data and AI-driven solutions. You will be a trusted advisor to our clients, bridging the gap between business needs and technical capabilities, and ultimately driving the successful adoption of our cutting-edge solutions. Key Responsibilities: Solution Architecture & Design: Lead the design and architecture of end-to-end Data and AI solutions specifically tailored for Supply Chain use cases in manufacturing. This includes, but is not limited to, areas such as demand forecasting, inventory optimization, production planning, logistics and transportation optimization, supplier risk management, quality control, and predictive maintenance. Discovery & Needs Assessment: Conduct in-depth discovery sessions with clients to understand their current Supply Chain processes, pain points, data landscape, and strategic objectives. Identify opportunities where Data and AI can deliver significant business value. Use Case Definition & Prioritization: Collaborate with clients to define, prioritize, and articulate compelling Data and AI use cases, demonstrating a clear understanding of the ROI and impact on Supply Chain key performance indicators (KPIs). Technical Expertise & Guidance: Provide deep technical expertise in data engineering, machine learning, and AI concepts relevant to Supply Chain. Guide clients on data requirements, integration strategies, model selection, and deployment considerations. Proof-of-Concept (POC) & Pilot Support: Work closely with data science and engineering teams to support the development and demonstration of POCs and pilots, showcasing the capabilities and value of proposed solutions. Presales & Sales Enablement: Partner with sales teams to articulate the value proposition of our Data and AI solutions, deliver compelling presentations and demonstrations, and respond to technical questions during the sales cycle. Industry & Domain Expertise: Leverage a strong understanding of manufacturing industry dynamics, common Supply Chain challenges, and relevant industry standards (e.g., SCM, ERP systems, Industry 4.0). Stakeholder Management: Build strong relationships with various stakeholders, including business leaders, IT teams, data scientists, and engineers, at all levels of client organizations. Market Insights: Stay abreast of the latest trends, technologies, and best practices in Data, AI, and Supply Chain management within the manufacturing sector. Content Creation: Contribute to the development of solution accelerators, whitepapers, presentations, and other collateral that articulate our value proposition. Qualifications: Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Industrial Engineering, Supply Chain Management, or a related quantitative field. Experience: Minimum of 7+ years of experience in a Solution Consultant, Solution Architect, or similar client-facing role. Proven track record of architecting and delivering successful Data and AI solutions for Supply Chain business functions. Strong domain expertise in the manufacturing industry vertical , with a deep understanding of its unique Supply Chain complexities. Hands-on experience with various stages of the data and AI lifecycle, from data ingestion and transformation to model development, deployment, and monitoring. Technical Skills: Proficiency in data technologies (e.g., SQL, NoSQL databases, data warehousing, data lakes). Experience with cloud platforms (e.g., AWS, Azure, GCP) and their respective AI/ML services. Familiarity with programming languages commonly used in data science (e.g., Python, R). Understanding of machine learning algorithms and statistical modeling techniques relevant to forecasting, optimization, and classification. Knowledge of data visualization tools (e.g., Tableau, Power BI, Qlik Sense). Domain Knowledge: In-depth understanding of core Supply Chain processes in manufacturing (e.g., S&OP, demand planning, inventory management, production scheduling, logistics). Familiarity with common manufacturing systems (e.g., ERP, MES, APS). Soft Skills: Exceptional communication, presentation, and interpersonal skills with the ability to articulate complex technical concepts to non-technical audiences. Strong analytical and problem-solving abilities. Ability to work independently and as part of a collaborative team. Client-focused mindset with a passion for driving business outcomes. Strong business acumen and the ability to connect technology solutions to business value. Bonus Points If You Have: Experience with specific Supply Chain planning or optimization software. Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure AI Engineer). Experience with MLOps practices and tools. Prior experience working in a consulting environment. Show more Show less
