AI Data Readiness Analyst (Onsite)

In this role, you will help drive data governance, data quality, analytics enablement, AI readiness, metadata management, and commercial analytics initiatives that improve business performance and accelerate innovation. Partnering with Sales, Analytics, Data Engineering, IT, and Business stakeholders, you will transform complex data into trusted business assets that support reporting, decision-making, and emerging AI technologies.

In this role, a typical day will include:

• Partnering with Commercial, Analytics, Data Engineering, and Business teams to establish trusted data foundations that support reporting, business intelligence, and AI-driven decision-making.
• Building and maintaining business definitions, metrics, data standards, and semantic models that enable consistent interpretation of data across analytics platforms and AI solutions.
• Ensuring data quality, integrity, and governance by profiling datasets, performing validation checks, investigating discrepancies, and implementing improvements that increase trust in commercial data.
• Managing and enhancing data catalog content, including metadata, business definitions, ownership, lineage, and documentation to improve data accessibility and usability across the organization.
• Assessing data assets against AI-readiness and governance standards, identifying opportunities for improvement, and partnering with stakeholders to implement scalable best practices.
• Collaborating with business partners to define key metrics, document requirements, and translate complex business needs into clear, actionable data solutions.
• Supporting analytics, AI, and machine learning initiatives by helping ensure that data products, business rules, and reporting structures are accurate, governed, and ready for enterprise use.
• Troubleshooting data and AI-related issues, identifying root causes, and driving continuous improvement in data quality, documentation, and reporting processes.
• Monitoring data readiness, governance compliance, catalog coverage, and data quality metrics to help advance Alcon's commercial analytics and AI capabilities across North America, Latin America, and Canada.

WHAT YOU'LL BRING TO ALCON:

• Bachelor's Degree or Equivalent years of directly related experience (or high school +10 yrs.; Assoc.+6 yrs.; M.S.+0 yrs.)
• The ability to fluently read, write, understand, and communicate in English
• 2 Years of Relevant Experience
• Relocation/Sponsorship Assistance: Not Available

Preferred Experience:

• Strong SQL and data management skills, with experience validating data quality, investigating data issues, and supporting analytics and reporting solutions.
• Knowledge of data governance, data integrity, metadata management, database structures, data models, and business metrics.
• Experience translating business requirements into documented data definitions, standards, and governance practices.
• Strong analytical, problem-solving, and critical-thinking skills with attention to detail.
• Effective communication and collaboration skills with the ability to influence both technical and business stakeholders.
• Experience working in regulated environments such as healthcare, medical devices, pharmaceuticals, biotechnology, or other highly governed industries.
• Familiarity with cloud-based data platforms (AWS), data governance tools (e.g., Atlan), analytics solutions (e.g., Alteryx), and CRM platforms such as Salesforce.
• Exposure to analytics, business intelligence, AI, machine learning, or data readiness initiatives, including semantic business definitions and AI-ready data frameworks.
• Experience supporting commercial, sales, customer, or CRM data environments.
• Familiarity with emerging AI technologies, generative AI, and intelligent agent solutions.