Career Category
Procurement
Job Description
Join Amgenâs Mission of Serving Patients
At Amgen, if you feel like youâre part of something bigger, itâs because you are. Our shared missionâto serve patients living with serious illnessesâdrives all that we do. Since 1980, weâve helped pioneer the world of biotech in our fight against the worldâs toughest diseases. With our focus on four therapeutic areas âOncology, Inflammation, General Medicine, and Rare Diseaseâ we reach millions of patients each year. As a member of the Amgen team, youâll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, youâll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
What you will do
Letâs do this. Letâs change the world. We are seeking an individual who thrives in ambiguity, capable of driving data and analytics initiatives with precision and purpose. You will support the implementation of strategies, systems, and processes that enable data-driven decision-making across procurement and supply chain. Reporting to the Source-to-Contract (S2C) Technology Enablement Lead, your responsibilities will include designing the analytics strategy, building pipelines, integrating platforms, enabling visualization capabilities, leveraging GenAI tools, and delivering actionable insights that 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 (e.g., Databricks/Delta), 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 (adoption, cycle time, savings, SLOs, DQ).
Treat data as a product: accountable owners, SLAs, data contracts, versioning, and deprecation plans.
Govern releases: feature flags, controlled changes, release notes, and user training.
Manage vendors and TCO; negotiate SLAs; track license utilization and value realization.
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 SOX, GxP, GDPR, CSRD, and internal audit 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 to translate requirements into scalable data solutions.
Lead training, adoption, and enablement for self-service analytics capabilities.
Manage vendor relationships and ensure SLAs are met for analytics platforms.
Team Leadership
Mentor analysts, engineers, and BI developers on data engineering, visualization, and governance practices.
Promote best practices in agile delivery, backlog management, and predictable outcomes.
Functional Skills
Must-Have Skills
Data Engineering: Hands-on experience with Databricks/Delta Lakehouse, SQL, Python, PySpark, orchestration tools, and CI/CD.
Visualization & Storytelling: Proficiency with Power BI/Tableau/Looker and ability to craft executive-level narratives.
GenAI & Analytics: Exposure to GenAI/ML platforms and ability to apply them in procurement/supply chain contexts.
Domain Knowledge: Strong understanding of procurement and supply chain processes, supplier master data, and compliance frameworks.
Governance & Compliance: Knowledge of SOX, GxP, GDPR, and audit practices.
Good-to-Have Skills
Technical Liaison Experience: Ability to bridge between technical and business stakeholders.
Change Management: Familiarity with training and adoption practices for analytics and digital tools.
Data Science & AI: Experience with ML experimentation, feature stores, and advanced analytics techniques.
Soft Skills
Communication & Influence: Ability to simplify complex analytics for stakeholders across procurement, finance, IT, and executive leadership.
Strategic Thinking: Ability to design scalable, future-proof data solutions.
Collaboration: Strong cross-functional team collaboration skills, including mentorship and knowledge transfer.
Adaptability: Comfort in dynamic environments with shifting priorities.
Problem Solving: Structured approach to tackling technical and business problems.
Attention to Detail: Precision in handling data quality, governance, and regulatory documentation.
Basic Qualifications:
Btech/ MBA/ PHD
Minimum of 10 -12 years of relevant business and functional experience
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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