Assoc. Dir, DSCS Digital Technologies, Decision Intelligence (m/f/d)

is a technical role responsible for developing advanced analytics and operations research capabilities to enable data-driven decision making and inform DSCS business operations. This role will focus on modeling, simulation and optimization frameworks to solve complex business problems.

The Associate Director, Decision Intelligence will:

• Translate business problems into mathematical models/frameworks for business process simulation and optimization.
• Design robust and sustainable analytics that can be seamlessly integrated with WebApps and/or Agents to streamline user interaction.
• Develop and implement probabilistic forecasting and stochastic optimization techniques to enable strategic decision making given uncertainty.
• Serve as a business analyst to develop business cases for new digital capabilities. Define and track KPIs aligned with the value proposition for digital transformation within DSCS.
• Contribute to designing, building, and implementing modern data foundations and pipelines.
• Contribute to the development of custom web applications (WebApps) that allow business users to seamlessly interact with data products and model outputs.
• Work strategically with Change Management and DSCS functional area SMEs to design and implement AI-enabled business processes.
• Contribute to the advancement of the DDT Decision Intelligence Strategic Roadmap, developing reusable methods and components that support decision intelligence capabilities across business domains.

Primary Activities

• Requirements Translation: Translate business processes and/or stakeholder requirements into accurate mathematical representations and technical specifications for corresponding models, agents and data products.
• Decision Intelligence Strategy: Provide expertise in translating data and model outputs into clear, concise and interpretable business insights. Collaborate with Digital Operations Change Management and functional area SMEs to define and implement AI-enabled decision making processes across DSCS.
• Business case development: In collaboration with DSCS SMEs, develop the business case and articulate the value proposition for new digital capabilities.
• Performance monitoring: Define and track KPIs to monitor the value realized through digital transformation within the DSCS organization.
• Modeling & Simulation: Develop mathematical models to simulate and/or optimize business processes using techniques including but not limited to machine learning, discrete event simulation and optimization.
• Data Engineering: In collaboration with the Digital Operations Shared Services team, design, build, and optimize scalable data pipelines leveraging Databricks, Python, Dataverse, and advanced SQL. Transform raw data into contextualized, AI-ready data products.
• Agentic AI: In collaboration with Agentic Intelligence team, design, test, and implement agentic AI workflows using tools like Copilot Studio to automate decision-making processes and generate proactive business insights.
• Web Application Development: In collaboration with Digital Operations Shared Services team, develop and deploy user-friendly WebApps to support interaction with data and analytics.
• Development & Code Management: Utilize modern development environments (VS Code) and AI coding assistants (Cline) alongside GitHub for robust version control of scripts, applications, and data models to ensure code quality.
• Systems Architecture: Work closely with system architects to ensure scalable, secure, and efficient DevOps.
• Documentation & Enablement: Document processes, code, mathematical models, data models, and system architectures; provide training and technical support to end-users as new digital capabilities are rolled out.

Required Skills and Qualifications

• Experience: 5+ years in data science, operations research, data engineering or a related highly technical role.
• Pharmaceutical development and/or clinical supply chain experience. Understanding of CMC development across modalities (ie small molecule, large molecule, vaccine) strongly preferred.
• Core Technical Stack: Strong expertise in Python. Experience building and deploying advanced machine learning models. Databricks and MLOps experience preferred.
• Business Analysis: Proven track record of gathering complex requirements from non-technical stakeholders and translating them into actionable, technical roadmaps.
• Agentic AI & Automation: Familiarity with or strong interest in Agentic AI and integrating AI agents into workflows.
• DevOps & Developer Tools: Proven experience with GitHub for version control. Highly comfortable leveraging AI-assisted development tools like Cline. Proficiency working in VScode or other equivalent integrated development environment. Experience deploying apps or agents in preferred.
• Analytical Skills: Strong analytical and problem-solving skills to tackle complex business challenges and translate them into mathematical problem statements and corresponding technical solutions.
• Collaboration & Influence: Demonstrated ability to develop strong, trust-based relationships to drive change and execute priorities with a diverse group of technical and non-technical stakeholders.
• Communication: Excellent written and verbal communication skills; demonstrated ability to communicate technical concepts clearly to non-technical stakeholders, including senior executives.
• Independence: Independent decision-making abilities with a proactive approach to leading projects and delivering results.

Education and Skills

• Education: PhD with 1+ year of experience or Bachelor's degree with 5+ years of experience in Engineering, Operations Research, Data Science, or comparable technical field.