Enterprise AI Data Governance Lead

Bausch & Lomb GmbH; Bridgewater Township (NJ); Hybrid; USD 125,000 - 155,000; Full time

Job summary

Bausch + Lomb is seeking an AI and Data Standards and Enablement Lead to scale enterprise AI governance and data practices. You will define enterprise policies, drive data quality and lifecycle management, and partner with Digital, IT, Legal, Privacy, and Compliance to embed governance into day-to-day execution.

The role requires 4+ years in AI/data governance, strong collaboration skills, and the ability to translate complex governance needs into practical guidance while reporting to the Head

Qualifications

• Bachelor's degree in IS, Data Management, Analytics, CS, or related field.
• 4+ years in AI governance, data governance, data quality, data stewardship, analytics, enterprise enablement, digital transformation, or related disciplines.
• Experience building, managing, or supporting data governance, data stewardship, data quality, master data management, or data product governance programs.
• Strong understanding of Responsible AI principles, including transparency, accountability, privacy, fairness, explainability, human oversight, security, and risk management.
• Experience influencing and collaborating across business, technology, legal, privacy, security, compliance, data, and analytics stakeholders.
• Proven ability to design governance processes, enablement programs, and metrics-driven adoption strategies that support enterprise transformation initiatives.
• Excellent communication, facilitation, and problem-solving skills with the ability to simplify complex concepts for both technical and business audiences.

Responsibilities

• Define and operationalize enterprise AI policies, standards, playbooks, templates, and governance practices that support safe, scalable, and responsible AI adoption across the organization.
• Lead AI use-case intake, risk assessment, approval workflows, documentation requirements, and compliance monitoring to ensure alignment with enterprise governance expectations.
• Partner with data owners, stewards, and Enterprise Data Products teams to establish governance frameworks, certified data product standards, and data lifecycle management practices.
• Drive data quality, metadata, lineage, access governance, data contracts, and catalog adoption to improve trust, discoverability, and readiness of governed data assets.
• Translate complex AI and data governance requirements into practical toolkits, training materials, decision frameworks, and business-friendly guidance that accelerate adoption.
• Develop and execute change management, communications, and stakeholder enablement programs that promote responsible AI practices and governed data usage.
• Define, monitor, and report governance KPIs, adoption metrics, certification status, compliance trends, and data quality performance through dashboards and scorecards.
• Facilitate governance forums, working groups, and cross-functional decision-making while serving as a trusted advisor to business teams adopting AI and data capabilities.

Skills

AI governance

Data governance

Data quality

Data stewardship

Analytics

Enterprise enablement

Digital transformation

Cross-functional collaboration

Education

Bachelor's degree in Information Systems, Data Management, Analytics, Computer Science, Business, or related field

Tools

Microsoft Purview

Collibra

Alation

Atlan

Job description

Bausch + Lomb is seeking an AI and Data Standards and Enablement Lead to scale enterprise AI governance and data practices. You will define enterprise policies, drive data quality and lifecycle management, and partner with Digital, IT, Legal, Privacy, and Compliance to embed governance into day-to-day execution.

The role requires 4+ years in AI/data governance, strong collaboration skills, and the ability to translate complex governance needs into practical guidance while reporting to the Head