Role : Operations Data Science & Analytics Lead
Location : Remote
Contract
As an Operations Data Science & Analytics Lead, you will be responsible for designing, implementing, and scaling data science and analytics solutions to support decision-making across Global Operations.
Key Responsibilities
· Lead data science and analytics strategy aligned with Lam’s enterprise analytics standards, principles, and COE guidelines.
· Partner with Global Operations business units to identify business problems and opportunities, define requirements, and deliver data-driven solutions.
· Develop proof-of-concepts, perform back-testing, and translate analytical insights into scalable production solutions.
· Manage and coordinate enterprise-level analytics, data science, and architecture programs aligned with business goals.
· Design and deploy advanced analytics, AI/ML models, and scalable business processes to support measurable business outcomes.
· Apply continuous improvement and lean-agile methodologies to accelerate analytics delivery and adoption.
· Collaborate closely with data architecture, application development, and business development teams to design complex, compliant solutions.
· Develop meaningful KPIs and metrics aligned with enterprise and line-of-business strategies.
· Present insights and recommendations through clear storytelling and executive-ready visualizations.
· Ensure transparency of deliverables, timelines, and progress while leading cross-functional project teams.
· Build and maintain strong stakeholder relationships at all organizational levels.
Preferred Qualifications
· Experience:
o Bachelor’s degree with 12+ years of relevant experience, or
o Master’s degree with 8+ years, or
o PhD with 5+ years, or equivalent experience.
· Technical Expertise:
o Strong experience building AI/ML, advanced analytics, and data science solutions in enterprise environments.
o Advanced SQL skills for extracting and transforming data from enterprise data platforms including SAP HANA, SQL Server, Data Factory, Data Fabric, Synapse, and related systems.
o Expertise in Python, R, Power BI, MS Excel, and statistical modeling techniques.
o Strong understanding of data modeling, data quality standards, and governance frameworks.
· ERP & Domain Knowledge:
o Hands-on experience with SAP ECC / S4 HANA or similar ERP systems.
o Deep knowledge of manufacturing and operations domains including Material & Vendor Master, Purchasing, MRP, Order Management, BOM, Logistics, Spares, and Warehouse Management.
o Manufacturing domain experience strongly preferred.
· Business & Communication Skills:
o Proven ability to present complex analytics insights to senior leaders and large audiences.
o Strong storytelling and visualization skills to drive executive decision-making.
o Experience producing clear, concise reports in multiple formats (Power BI, PDF, Word, BI tools)