Play a critical leadership function in IBP implementation, enterprise data strategy, systems scaling decisions, and cross functional project execution.
Provide senior-level technical, analytical, and strategic guidance to enable scalable Operations performance through enterprise applications, analytics, and data‑driven process design.
Responsible for intake, cross‑functional alignment, and execution of Operations requests involving internal processes, software systems, analytics, and AI.
Ensure solutions are fit‑for‑purpose, value‑driven, and aligned with the company’s business complexity, growth trajectory, and long‑term technology roadmap.
Provide senior technical and process leadership for process and solution implementation and maturity, including demand, supply, inventory, capacity, and financial integration.
Advise on Operations solutions for sequencing and scalability decisions, ensuring solutions fit the operational complexity and growth stage of the business.
Collaborate with stakeholders to ensure solution designs meet real operational needs, and that execution performs as intended in practice— not just in concept.
Ensure Operations analytics, scenarios, and dashboards connect planning outcomes to operational execution and financial impact.
Contribute to development of a 3–5 year Digital Strategy roadmap, aligned with operational strategy and business growth.
Help bridge gaps between operational systems (e.g., Pulse, MES, SAP, analytics tools) to enable improved visibility, including near real‑time production of health insights.
Ensure assigned projects are aligned, value‑focused, and executed effectively by delivery teams.
Understand business needs and provide strategic insights on dashboard and reporting ecosystem synergy, ensuring consistency, relevance, and executive usability.
Translate vague or emerging ideas into structured analytical solutions, balancing innovation with business value.
Evaluate and guide appropriate use of AI and advanced analytics, focusing on practical business impact rather than technology novelty.
Requirements
A Bachelor’s degree in operations, supply chain, engineering, information systems, data science, business, or related field with 8+ years of experience in Operations analytics, enterprise systems, process excellence, or equivalent combination of education and experience.
Master’s degree in operations management, data science, industrial engineering, or related field preferred.
Deep understanding of Operations processes and systems (planning, manufacturing, execution, analytics).
Strong experience with SAP and IBP, including practical understanding of module selection and scalability tradeoffs.
Experience with or exposure to MES, master data management, and production analytics.
Proven ability to lead ambiguous, cross‑functional initiatives from concept through execution.
Strong analytical framework development skills (KPIs, scenarios, forecasting, decision support).
Experience in medical devices, biotech, pharmaceutical, or other regulated industries preferred.
Excellent communication skills with ability to convey complex technical concepts to executive and non‑technical audiences.
High degree of accuracy, structured problem‑solving, and systems thinking.
Proficiency in Microsoft Office; advanced analytics and visualization tools preferred.
Strong collaboration skills across business, analytics, and IT teams.