Sr. Principle Manufacturing Data Architect

• Lead development of global data models, asset hierarchies, naming conventions, and contextualization frameworks.
• Own governance processes to ensure data consistency across sites, equipment types, and process technologies.
• Enable reuse of analytics by ensuring that similar assets and processes generate comparable, high-quality data.
• Partner with manufacturing, engineering, and IT teams to drive adherence to standards while allowing necessary local flexibility.

• Drive development of analytics enablement layers that support dashboards, trending, alerting, and anomaly detection.
• Collaborate with data scientists and operations teams to deploy AI/ML models for manufacturing use cases.
• Translate manufacturing pain points into data-driven insights and actionable intelligence.
• Enable systematic identification of OEE improvements across diverse equipment and processes.

• Support the assessment and creation of state-of-the-art industrial analytics technologies that scale, including:
• Predictive and prescriptive maintenance
• Process optimization and digital twins
• Closed-loop control and automated decision-making
• Partner with controls engineers and operations to integrate analytics outputs into automated or semi-automated control strategies.
• Drive roadmap development for advanced manufacturing intelligence capabilities.

• Serve as a technical leader and subject matter expert across a global manufacturing network.
• Collaborate with Manufacturing, Automation, IT, Cybersecurity, Data Science, and Cloud teams.
• Support site deployments, scaling successful pilots into sustainable global solutions.
• Mentor engineers and influence technical direction without direct authority where applicable.

• Bachelor’s Degree or Equivalent years of directly related experience (or high school +15 yrs; Assoc.+11 yrs; M.S.+4 yrs; PhD+3 yrs)
• The ability to fluently read, write, understand, and communicate in English
• 7 Years of Relevant Experience
• 5 Years of Demonstrated Leadership

• Strong understanding of manufacturing systems and automation, including PLCs, SCADA, historians, MES, and ERPs.
• Hands-on experience with industrial data protocols and platforms (e.g., OPC UA, MQTT, REST APIs).
• Experience building or governing contextualized manufacturing data models.
• Familiarity with cloud platforms (Azure, AWS, GCP) and data services (data lakes, streaming, analytics).
• Experience enabling or collaborating on AI/ML solutions for manufacturing.
• Understanding of industrial cybersecurity principles and IT/OT security boundaries.
• Experience with time-series data analytics, visualization, and alerting.
• Understanding of predictive maintenance, reliability analytics, and process optimization.
• Familiarity with digital twin concepts and closed-loop optimization strategies.
• Ability to translate complex technical concepts into business value.

• See your career like never before with focused growth and development opportunities
• Join 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!

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If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.

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Alcon 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 alcon.recruitment@alcon.com and let us know the nature of your request and your contact information.