Director- Data Science – Supply Chain and Logistics

As the global leader in Eyecare Alcon is on a sustained growth path driven by an innovative portfolio of products in Vision Care Surgical and Pharmaceuticals. Data and Data Science are key levers that help power and accelerate this growth.

The Director of Data Science Supply Chain and Logistics will lead an integrated team working with enterprise functional leaders to focus on solving the top enterprise challenges in this domain. Partnering closely with the Global Head of our Supply Chain key IT and Business leaders and the Data Science community this role is key in evolving our traditional AI ecosystem monitoring and evaluating Traditional AI experiments identifying high-impact use cases for scalability and overseeing the integration of Traditional AI across the Supply Chain and Logistics. For the right candidate this position may be evaluated at the Senior Director level.

Key Responsibilities:

Strategic Direction

Develop and implement the strategic roadmap for Traditional AI initiatives focusing on the Supply Chain and logistics value chain ensuring alignment with the organizations overall goals and objectives and driving value through AI Models.

Identify and prioritize high-impact Traditional AI use cases that can be scaled across the organization.

Operational Excellence

With an end-goal of running supply chain operations through a digital control tower this role will be pivotal in leveraging Data Science and Operations Research practices to provide predictive and prescriptive insights to:

Optimize global shipping and transportation with real-time data and AI automation
Transportation modes and routes for costs service levels efficiency and sustainability.
Predict disruptions and recommended mitigations whether common issues like empty miles or unexpected events etc.
Ensuring seamless and cost-effective logistics operations.
Effectively manage demand complexities with AI-driven forecasting and real-time sensing.
Reduce complexities of inventory across your supply chain withoptimize balance of stock levels prevent stockouts and optimize aging inventory to improve service levels reduce costs and drive efficiency.

Streamline order management (OTIF as key KPI)

Improve order accuracy optimize fulfillment networks and dynamically respond to supply and demand fluctuations.

Availability checks to dynamic network selection ensure every order is fulfilled efficiently cost-effectively and on time.
Drive Integration and adoption
Drive the integration of AI solutions into existing business processes and systems to enhance efficiency and effectiveness.
Optimize other emerging areas as business cycles change

Leadership & Team Management:

Deep understanding of new and emerging trends in Data Science and solid understanding of Alcon business and business imperatives with ability to translate data science opportunities into business value opportunities.
Experience leading an AI and Data strategy for Supply Chain and Logistics including a thorough understanding of the business models and business planning data engineering story-telling data management governance strategy and standards.
Must be able to connect with and communicate with key business stakeholders in non-technical terms while displaying a fundamental understanding of the business.
Articulation of compelling analytics success stories to inspire others to understand data as a strategic business asset to drive significant growth opportunities.

Stakeholder Collaboration

Work closely with stakeholders across the organization to drive results working with both dedicated and matrixed teams.

Key stakeholder and teams include Global Supply Chain Manufacturing Commercial Operation IT and the broader Data Science community.

Innovation & Continuous Improvement

Stay abreast of industry trends and emerging technologies to drive continuous improvement.
Foster a culture of continuous learning and development within the data science team.
Monitor and evaluate Traditional AI experiments to inform best practices and ensure continuous improvement.

Experience:

10 years of experience in data science with a focus on supply chain optimization.
Proven track record of leading and developing high-performing data science teams.
Extensive experience with machine learning AI and advanced analytics in the supply chain and logistics business domain
Anchoring Technologies: AWS Data and Data Science stack MS Azure AI stack other AI/ML dev tools and
ML/Ops tech stacks. AWS and other Data Engineering tech stacks.

Education:

Masters or Ph.D. in Data Science Computer Science Statistics Operations Research or a related field.

Preferred Qualifications:

Knowledge of SAP & SAP-BI/AI suite IBP S&OP and Demand Planning.
Experience in the healthcare or pharmaceutical industry is a plus.

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Alcon is an Equal Opportunity Employer and participates in E-Verify. Alcon takes pride in maintaining a diverse environment and our policies are not to discriminate in recruitment hiring training promotion or other employment practices for reasons of race color religion gender national origin age sexual orientation gender identity marital or veteran status disability or any other legally protected status. Alcon is also committed to working with and providing reasonable accommodation to individuals with disabilities. If because of a medical condition or disability you need a reasonable accommodation for any part of the application process or in order to perform the essential functions of a position please send an email to and let us know the nature of your request and your contact information.