Data & Analytics Lead

As a member of the Amgen team, you'll have the opportunity to contribute to the mission of serving patients living with serious illnesses. Your role will involve driving data and analytics initiatives with precision and purpose in support of procurement and supply chain functions. Reporting to the Source-to-Contract (S2C) Technology Enablement Lead, you will be responsible for designing the analytics strategy, building pipelines, enabling visualization capabilities, and delivering actionable insights to inform strategic sourcing and procurement decisions. **Roles & Responsibilities:** - **Data & Analytics Strategy:** - Develop and implement enhancements aligned with broader S2C strategic objectives and enterprise data strategy. - Define and manage a data and analytics roadmap, prioritizing dashboards, AI/ML models, APIs, and data products. - Track value delivery through KPIs such as cycle-time reduction, supplier risk mitigation, savings enablement, and user adoption. - **Data Engineering & Integration:** - Build and manage pipelines into data lakes/lakehouses, integrating ERP, CLM, SRM, and external data sources. - Code in SQL and Python for data modeling, cleansing, and transformations. - Implement robust data quality, governance, lineage, and audit controls. - **Visualization & Storytelling:** - Deliver executive-ready dashboards and insights using tools such as Power BI, Tableau, or Looker. - Establish visualization standards and KPIs to enable consistent decision-making. - Convert complex analyses into clear, compelling narratives for senior stakeholders. - **Advanced Analytics & GenAI:** - Apply GenAI tools for procurement use cases, including contract intelligence, supplier summaries, and clause analysis. - Build predictive and prescriptive models for demand forecasting, supplier risk, and cost optimization. - Leverage ML frameworks for experimentation, feature management, and human-in-the-loop governance. - **Digital Product Ownership:** - Own product vision, OKRs, and roadmap aligned to S2C/S2P and enterprise data strategy. - Maintain a single, prioritized backlog across pipelines, semantic models, APIs, dashboards, and GenAI. - Run discovery and define success metrics. - **Procurement & Supply Chain Domain Leadership:** - Partner with category managers to translate procurement and supply chain problems into data-driven use cases. - Support savings tracking, supplier diversity, ESG reporting, and risk analysis with data insights. - Improve supplier master data accuracy, classification, and taxonomy. - **Governance & Compliance:** - Ensure analytics pipelines comply with regulatory requirements. - Own audit documentation, lineage records, and inspection readiness. - Implement access controls, data minimization, and privacy standards. - **Stakeholder Engagement & Change Management:** - Act as a liaison between business and technical stakeholders. - Lead training, adoption, and enablement for self-service analytics capabilities. - Manage vendor relationships and ensure SLAs are met. - **Team Leadership:** - Mentor analysts, engineers, and BI developers. - Promote best practices in agile delivery, backlog management, and predictable outcomes. **Functional Skills:** **Must-Have Skills:** - Data Engineering - Visualization & Storytelling - GenAI & Analytics - Domain Knowledge - Governance & Compliance **Good-to-Have Skills:** - Technical Liaison Experience - Change Management - Data Science & AI **Soft Skills:** - Communication & Influence - Strategic Thinking - Collaboration - Adaptability - Problem Solving - Attention to Detail **Basic Qualifications:** - Btech/ MBA/ PHD - Minimum of 10 -12 years of relevant business and functional experience Amgen ensures equal opportunities for individuals with disabilities throughout the job application process, interviews, essential job functions, and other employment benefits and privileges. Accommodation requests are welcomed.,