Director, Procurement Data Science
Teva Pharmaceuticals
Remoto
We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together.
Our Team, Your Impact
We are seeking a hands-on Director, Procurement Data Science to own end-to-end AI, machine learning and advanced analytics delivery for Global Procurement. The role sits at the intersection of procurement strategy, supplier markets, sourcing decisions, spend economics, contract and compliance dynamics, and applied data science. It translates high-value procurement questions into robust analytical solutions that improve forecasting, supplier risk detection, opportunity identification, optimization and decision support across Source-to-Pay. This is a single-contributor role, not a team lead role. The person in this role must be able and willing to code independently on their own and will be accountable for the full AI delivery chain from procurement problem framing and requirements definition through modelling, hands-on development, validation, deployment support, adoption and continuous improvement, with IT supporting platform guardrails, enterprise architecture and security. The ideal candidate combines deep data science expertise with strong software engineering discipline, practical MLOps literacy, full lifecycle project ownership and the ability to technically lead complex Procurement AI and analytics initiatives while remaining hands-on in code.
How You’ll Spend Your Day
Data Science & Advanced Analytics
- Lead the design, development and validation of machine learning, statistical and optimization models for Procurement use cases
- Develop models supporting supplier risk early-warning, savings and price forecasting, opportunity identification, compliance analytics and sourcing decision support
- Apply rigorous statistical reasoning, feature engineering, model selection, validation, explainability, uncertainty assessment, bias and error analysis, and monitoring practices
- Personally write production-quality Python, PySpark, SQL and related code for data preparation, modelling, experimentation, validation and deployment support
- Partner with Procurement leaders and domain experts to translate category, supplier, pricing, risk, compliance and Source-to-Pay decision problems into measurable analytical products
- Own end-to-end AI delivery for Procurement use cases, from business framing and data science design through hands-on development, production readiness, adoption and value realization
- Own Procurement-specific AI and data science requirements, including business logic, decision context, data interpretation, model acceptance criteria and adoption needs, and translate them into clear technical requirements for enterprise implementation
- Define model success criteria, performance metrics, adoption measures and value hypotheses together with Procurement stakeholders, ensuring outputs reflect real sourcing, supplier, pricing and operational decision needs
- Build working prototypes and scalable analytical components hands-on, rather than relying on a delivery team to implement the code
- Own the data science lifecycle from problem framing and modelling design through hands-on development, validation, documentation, deployment support and continuous improvement
- Turn analytical prototypes into usable Procurement-facing products, including integration with dashboards, workflows, APIs or decision-support tools used in sourcing, supplier management, compliance or performance management
- Ensure analytical outputs are understandable, actionable and embedded into Procurement business rhythms, governance forums and decision processes
- Identify opportunities to reuse modelling patterns, data assets and AI components across Procurement domains
- Apply Responsible AI principles, model documentation, testing and risk controls suitable for enterprise use
- Support governance of model logic, assumptions, limitations and monitoring requirements
- Work with technology, risk, legal, compliance and enterprise governance stakeholders where required for controlled deployment
- Maintain clear documentation of model purpose, data inputs, logic, validation results and business usage guidance
- Coach Procurement teams and delivery partners on practical use of data science and AI methods
- Shape the Procurement data science roadmap in partnership with Procurement leadership by identifying where AI, machine learning, optimization and advanced analytics can materially improve sourcing, supplier, pricing, compliance and Source-to-Pay outcomes
- Stay current on machine learning, applied AI, GenAI and optimization techniques relevant for procurement
- Act as technical lead for complex Procurement AI and analytics initiatives, coordinating across business stakeholders, product, data, technology and governance partners while personally contributing the core technical work
- 10+ years of relevant experience in data science, machine learning, advanced analytics or applied AI
- Proven track record delivering analytical or AI products with measurable business impact in complex organizations
- Advanced Python, PySpark and SQL skills, with the ability and willingness to code end-to-end solutions independently
- Strong understanding of model evaluation, explainability, monitoring and production deployment considerations
- Practical MLOps and DevOps experience, including Git-based development, CI/CD concepts, model versioning, experiment tracking, deployment pipelines, environment management and production monitoring, with the ability to define business and technical requirements and drive implementation through IT partners
- Strong software engineering discipline, including modular code design, reusable components, automated testing, documentation, version control, code quality, maintainable solution architecture and coding agents
- Demonstrated ability to rapidly learn new technologies, business domains and delivery environments, and to apply state-of-the-art methods pragmatically in enterprise settings
- Procurement domain understanding across sourcing, category management, supplier management, spend analytics, pricing, contracts, compliance and Source-to-Pay processes, with the ability to challenge assumptions and translate real procurement decisions into technically sound data science solutions
- Experience translating procurement business problems into modelling approaches, success measures, adoption plans and measurable value outcomes
- Strong stakeholder management and storytelling skills, including executive-level communication
- Experience with Databricks, or comparable enterprise analytics platforms
- Experience with MLflow, PyTorch, TensorFlow, scikit-learn, GitHub Actions, Azure DevOps or comparable AI engineering toolchains
- Experience with optimization, anomaly detection, graph analytics, NLP, GenAI or RAG patterns
- Experience with APIs, workflow automation, orchestration, cloud deployment patterns or analytical application integration
- Experience working in regulated, global or matrixed organizations
At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community. When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way.
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Teva’s Equal Employment Opportunity Commitment
Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.