Director, Advanced Manufacturing Analytics
Alcon Pharma
At Alcon, we're passionate about enhancing sight and helping people see brilliantly. With more than 25,000 associates, we innovate fearlessly, champion progress, and act swiftly to impact global eye health. We foster an inclusive culture, recognizing your contributions and offering opportunities to grow your career like never before. Together, we make a difference in the lives of our patients and customers. Are you ready to join us?We foster an inclusive culture and are looking for diverse, talented people to join Alcon. Alcon is accelerating its digital manufacturing ambitions, integrating modern operational technologies with enterprise digital systems to enable world‑class performance across its 16+ global manufacturing sites and across the full supply chain. Central to this transformation is the strategic development and deployment of insights and functionality on top the digital landscape.The Director of Advanced Manufacturing Analytics will own the strategic development and deployment of advanced data analytics capabilities across a multi‑site manufacturing and supply chain network. This is a business- and application-focused role that identifies high‑value opportunities, rapidly pilots solutions, and scales proven capabilities to all sites by orchestrating internal data science and data engineering teams, site operations, and selected third‑party partners.You will also serve as the business owner for global KPI dashboards, evolving them into predictive and prescriptive tools for metrics such as Purchase Price Variance (PPV), Inventory, Yield, OEE, Schedule Attainment, and more.In this role, a typical day will include: Enterprise Data Science Strategy for ManufacturingManage a 2–3-year capability roadmap aligned to manufacturing prioritiesDefine a portfolio of scalable use cases with clear value hypotheses, ROI models, and adoption plansRapid Pilots Scaled DeploymentStand up lean pilots in weeks, not months, to gain quick insight into the rapidly evolving AI/ML and visualization landscapeCodify pilots into repeatable playbooks and templates; drive scale‑up to all eligible sitesGlobal KPI Ownership & EvolutionOwn business definition, data lineage, and governance for global dashboards (e.g., PPV, inventory, OEE)Extend dashboards with advanced capabilities including forecasting, anomaly detection, scenario simulation, and automated alertsPartner Ecosystem & Vendor StrategyIdentify and manage 3rd‑party providers to complement internal teams to speed up time‑to‑value.Structure outcome‑based SOWs, price-to-value models, and success criteria.Manufacturing Data ProductsInfluence data architectures to create appropriate capabilities and scale that meet manufacturing’s requirements.Ensure operational AI/ML has appropriate controls in place to manage quality and business risksChange Management & AdoptionBuild solutions that scale natively by deeply understanding use-cases and partnering with global and local teams for tech stack standardizationBuild site champion networks, training, and hiring/upskilling plans to drive sustained use of solutions and talent pipelineStrategy & PortfolioBuild and maintain a ranked use‑case portfolio with quantified value, complexity, time‑to‑impact.Align with Finance/Procurement/Operations on PPV, inventory, yield value levers and measurement.Publish a quarterly “State of Data Science in Manufacturing” progress and impact report.Solution Lifecycle LeadershipLead ideation prioritization pilot implementation scale of use cases.Define acceptance criteria and guardrails for site rollout (data readiness, process readiness, training)Own global business requirements and success metrics; partner with IT, vendors, and sites for technical deliveryKPI & Analytics Product OwnershipServe as the Product Owner for global KPI dashboardsEstablish KPI definitions, visualization guidelines, and drill‑down standardsImplement advanced KPIs capabilities like predictive, scenario, and alerting conceptsStakeholder & Vendor ManagementBuild trust with Site Leaders, Supply Chain, Procurement, Quality, Finance, and IT/Data teamsSelect and manage vendors; negotiate deliverables, SLAs, and commercial terms tied to business impactOperations & MLOps Oversight Ensure models/applications have clear owners, monitoring plans, and retraining/optimization proceduresPartner with global and site IT, quality, compliance teams to ensure compliant, secure deploymentsCulture, Capability, and Ways of WorkingChampion a product mindset, reproducibility, and documentation standardsDevelop playbooks for common patterns (e.g., demand sensing, inventory optimization, process anomaly detection, computer vision QC)Mentor site and functional teams on data literacyWhat You'll Bring to Alcon:Bachelor’s Degree or Equivalent years of directly related experience (or high school +18 yrs; Assoc.+14 yrs; M.S.+7 yrs; PhD+3 yrs)The ability to fluently read, write, understand, and communicate in English10 Years of Relevant ExperiencePreferred Qualifications:Background in process manufacturing or discrete multi‑site operations; exposure to OEE, yield, scrap, PPV, inventory, S&OP.Knowledge of industrial data (MES/SCADA/Historians/IoT), time‑series modeling, and computer vision for quality inspection.Experience in regulated environments (e.g., GxP, CSV) and audit‑ready analytics.MBA, MS/PhD in a quantitative field, or equivalent experience blending business + analytics.Leadership CompetenciesInfluence Without Authority: Aligns diverse stakeholders; secures resources and decisions across functions and sites.Results Mindset: Prioritizes outcomes over output; maintains clear roadmaps and success metrics.Bias for Action: Moves from concept to pilot quickly; iterates based on evidence.Strategic Thinking & Systems View: Connects network‑level levers (cost/service/quality) to local actions.Communication: Translates technical detail into executive‑ready narratives and operator‑level guidance.Vendor & Partner Stewardship: Builds durable, value‑based partnerships; holds vendors accountable to impact.Talent Development: Improves data literacy across operations; mentors analysts and engineers (direct or dotted line) fostering inclusive debate, diverse perspectives, and fail‑fast learning.How You Can Thrive at Alcon:See your career like never before with focused growth and development opportunitiesJoin Alcon’s mission to provide outstanding, innovative products and solutions to improve sight, improve lives, and grow your career!Alcon provides robust benefits package including health, life, retirement, flexible time off, and much more!See your impact at alcon.com/careersATTENTION: Current Alcon Employee/Contingent WorkerIf you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.Find Jobs for EmployeesFind Jobs for Contingent WorkerALCON IS AN EQUAL OPPORTUNITY EMPLOYER AND PARTICIPATES IN E-VERIFYAlcon takes pride in maintaining an inclusive environment that values different perspectives and our policies are non-discriminatory in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, 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 View email address on click.appcast.io and let us know the nature of your request and your contact information.SummaryLocation: Fort Worth, TexasType: Full time
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