Director, Advanced Manufacturing Analytics

Alcon; Fort Worth (TX); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health benefits

Flexible time off

Retirement plans

Job summary

A global healthcare company is seeking a Director of Advanced Manufacturing Analytics in Fort Worth, Texas, to lead the development of data analytics capabilities across its manufacturing network. You will manage global KPI dashboards and work on strategic pilots to enhance performance metrics such as inventory and yield. The ideal candidate will have at least 10 years of experience in a relevant field and strong communication skills. This role offers a robust benefits package including health and retirement plans.

Qualifications

• 10 years of relevant experience in advanced manufacturing or analytics.
• Ability to influence across various teams and manage projects effectively.
• Experience in process manufacturing or discrete multisite operations preferred.

Responsibilities

• Manage and own global KPI dashboards and analytical solutions.
• Identify opportunities for enhancement and implement pilots.
• Partner with internal teams and vendors to drive adoption of analytics tools.

Skills

Fluent English

Data analytics

Stakeholder management

KPI development

Project management

Education

Bachelor's Degree or equivalent experience

Tools

Analytics software

Data visualization tools

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 is accelerating its digital manufacturing ambitions, integrating modern operational technologies with enterprise digital systems to enable worldclass 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 multisite manufacturing and supply chain network. This is a business- and application-focused role that identifies highvalue opportunities, rapidly pilots solutions, and scales proven capabilities to all sites by orchestrating internal data science and data engineering teams, site operations, and selected thirdparty 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 Manufacturing

• Manage a 2-3-year capability roadmap aligned to manufacturing priorities
• Define a portfolio of scalable use cases with clear value hypotheses, ROI models, and adoption plans

Rapid Pilots Scaled Deployment

• Stand up lean pilots in weeks, not months, to gain quick insight into the rapidly evolving AI/ML and visualization landscape
• Codify pilots into repeatable playbooks and templates; drive scaleup to all eligible sites

Global KPI Ownership & Evolution

• Own 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 alerts

Partner Ecosystem & Vendor Strategy

• Identify and manage 3rdparty providers to complement internal teams to speed up timetovalue.
• Structure outcomebased SOWs, price-to-value models, and success criteria.

Manufacturing Data Products

• Influence 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 risks

Change Management & Adoption

• Build solutions that scale natively by deeply understanding use-cases and partnering with global and local teams for tech stack standardization
• Build site champion networks, training, and hiring/upskilling plans to drive sustained use of solutions and talent pipeline

Strategy & Portfolio

• Build and maintain a ranked usecase portfolio with quantified value, complexity, timetoimpact.
• 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 Leadership

• Lead 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 delivery

KPI & Analytics Product Ownership

• Serve as the Product Owner for global KPI dashboards
• Establish KPI definitions, visualization guidelines, and drilldown standards
• Implement advanced KPIs capabilities like predictive, scenario, and alerting concepts

Stakeholder & Vendor Management

• Build trust with Site Leaders, Supply Chain, Procurement, Quality, Finance, and IT/Data teams
• Select and manage vendors; negotiate deliverables, SLAs, and commercial terms tied to business impact

Operations & MLOps Oversight

• Ensure models/applications have clear owners, monitoring plans, and retraining/optimization procedures
• Partner with global and site IT, quality, compliance teams to ensure compliant, secure deployments

Culture, Capability, and Ways of Working

• Champion a product mindset, reproducibility, and documentation standards
• Develop playbooks for common patterns (e.g., demand sensing, inventory optimization, process anomaly detection, computer vision QC)
• Mentor site and functional teams on data literacy

What 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 English
• 10 Years of Relevant Experience

Preferred Qualifications:

• Background in process manufacturing or discrete multisite operations; exposure to OEE, yield, scrap, PPV, inventory, S&OP.
• Knowledge of industrial data (MES/SCADA/Historians/IoT), timeseries modeling, and computer vision for quality inspection.
• Experience in regulated environments (e.g., GxP, CSV) and auditready analytics.
• MBA, MS/PhD in a quantitative field, or equivalent experience blending business + analytics.

Leadership Competencies

• Influence 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 networklevel levers (cost/service/quality) to local actions.
• Communication: Translates technical detail into executiveready narratives and operatorlevel guidance.
• Vendor & Partner Stewardship: Builds durable, valuebased 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 failfast learning.

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!

See your impact at alcon.com/careers

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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, 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] let us know the nature of your request and your contact information.