Senior Data Analytics Lead – Audit Intelligence & Automation

Alcon MX; Fort Worth (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Flexible time off

Life insurance

Job summary

Alcon is seeking a Sr. Manager, Data Analytics to bolster Internal Audit with analytics, automation, and AI-driven solutions.

This role focuses on continuous auditing, data-driven risk identification, and scalable monitoring at our Fort Worth, TX location. You will partner with stakeholders to translate business processes into analytics, develop dashboards, and lead automation initiatives that strengthen control effectiveness across the enterprise.

Qualifications

• Bachelor’s Degree or equivalent years of related experience.
• 7+ years of relevant experience in analytics or data.
• 3+ years in a data analytics/AI role.
• Ability to translate business processes into technical requirements.
• Solid problem-solving skills.

Responsibilities

• Ideate, design and lead implementation of risk identification and audit intelligence analytics.
• Collaborate with stakeholders to map business processes and data to analytics, indicators and tests.
• Lead projects for automated, scalable continuous auditing and monitoring.
• Apply AI concepts to streamline Internal Audit and Internal Controls processes.
• Design automation projects (control testing, report generation, issue follow-up).
• Support Enterprise Risk Management with data-driven insights.
• Create data-driven sampling mechanisms for high-risk areas.
• Develop and update dashboards for audit planning and tracking.

Skills

Alteryx

SQL

Python

Data modeling

Education

Bachelor’s Degree

Tools

SAP

Job description

Alcon is seeking a Sr. Manager, Data Analytics to bolster Internal Audit with analytics, automation, and AI-driven solutions.

This role focuses on continuous auditing, data-driven risk identification, and scalable monitoring at our Fort Worth, TX location. You will partner with stakeholders to translate business processes into analytics, develop dashboards, and lead automation initiatives that strengthen control effectiveness across the enterprise.