Sr. Principle Manufacturing Data Architect

Alcon; Fort Worth (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Benefits package

Job summary

Alcon is seeking a Global OT Data Architect to define and govern the data architecture strategy for manufacturing. You will standardize data platforms, ensure secure data movement to IT and cloud environments, and lead governance across sites and assets.

The role drives analytics, AI/ML solutions, dashboards, and predictive capabilities, collaborating with engineering, data science, and IT teams to deliver scalable, global solutions and advanced manufacturing intelligence.

Qualifications

• Bachelor's degree or equivalent years of experience (or higher) in a related field.
• 7+ years of relevant experience in manufacturing data systems or related field.
• 5+ years of demonstrated leadership across global projects or teams.
• Fluent reading, writing, and speaking of English.

Responsibilities

• Define and own the global OT data architecture strategy and data pipelines.
• Lead governance to ensure standardized contextualization across sites, assets, and processes.
• Drive analytics enablement with dashboards, trending, alerting, and AI/ML deployment for manufacturing use cases.
• Collaborate with cross-functional teams worldwide to scale pilots into global solutions.

Skills

Leadership

Data architecture

Industrial data protocols

Cloud platforms

AI/ML in manufacturing

Education

Bachelor's Degree or Equivalent

Tools

OPC UA

MQTT

REST APIs

Azure/AWS/GCP

Job description

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 has ambitious plans to blend modern manufacturing technologies with digital technologies. This position will serve as a global technical authority for manufacturing data system architecture, analytics enablement, and advanced industrial intelligence. This role is responsible for defining, standardizing, and governing the OT data architecture and technology stack, ensuring manufacturing data is moved from shop-floor OT systems into IT and cloud environments.

This position will establish global data contextualization standards and governance, enabling scalable analytics, AI/ML solutions, dashboards, and predictions across similar sites, assets, and process types. The role will drive the development of insight-generating capabilities-including trending, alerting, and optimization-while continuously evaluating and deploying state-of-the-art technologies to enable advanced use cases such as predictive maintenance, automated diagnostics, and closed-loop process control.

A key aspect to the role will require close collaboration across multiple local/global functions including engineering, data science, data engineering, and IT teams. Direct manufacturing experience is required to ensure practical systems and solutions are defined and implemented which meet the needs of manufacturing teams.

In this role, a typical day will include:

OT Data Architecture & Technology Standards

• Define and own the global OT data architecture strategy, including data acquisition, middleware, historian strategy, contextualization layers, and data pipelines.
• Select and standardize industrial data platforms, protocols, and middleware (e.g., OPC UA, MQTT, historians, industrial edge platforms).
• Ensure secure, reliable, and scalable data movement from OT to IT and cloud environments in alignment with corporate cybersecurity policies.
• Establish reference architectures and implementation patterns for manufacturing sites globally.

Data Contextualization, Governance & Standardization

• 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.

Analytics, Insights & Value Creation

• 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.

Advanced Manufacturing Intelligence

• 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.

Global Leadership & Collaboration

• 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.

What You'll Bring to Alcon:

• 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

Preferred Qualifications:

• 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.

How You Can Thrive at Alcon:

• 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!

ALCON IS AN EQUAL OPPORTUNITY EMPLOYER AND PARTICIPATES IN E-VERIFY

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 [e-mail] and let us know the nature of your request and your contact information.