Full-Time

AI and Data Standards and Enablement Lead

Bausch Lomb

Bausch Lomb

Eye health products and technologies

Compensation Overview

$125k - $155k/yr

+ Short-term incentives + Long-term incentives

No H1B Sponsorship

Bridgewater, NJ, USA

In Person

Bachelor's, Master's

Category
Data & Analytics (1)
Required Skills
LLM
Communications
Data Visualization
Machine Learning
Collibra
Data Analysis
Requirements
  • A bachelor's degree in Information Systems, Data Management, Analytics, Computer Science, Business, or a related field is required.
  • At least 4 years of experience in AI governance, data governance, data quality, data stewardship, analytics, enterprise enablement, digital transformation, or related disciplines is required.
  • Demonstrated experience building, managing, or supporting data governance, data stewardship, data quality, master data management, or data product governance programs is required.
  • Strong understanding of Responsible AI principles, including transparency, accountability, privacy, fairness, explainability, human oversight, security, and risk management is required.
  • Experience influencing and collaborating across business, technology, legal, privacy, security, compliance, data, and analytics stakeholders is required.
  • Proven ability to design governance processes, enablement programs, and metrics-driven adoption strategies that support enterprise transformation initiatives is required.
  • Working knowledge of AI governance frameworks, data governance disciplines, data ownership and stewardship models, RACI structures, metadata management, lineage, data quality controls, data contracts, and access governance is required.
  • Experience with AI use-case intake processes, risk assessments, approval workflows, governance documentation standards, and monitoring practices is required.
  • Ability to develop governance scorecards, dashboards, certifications, adoption metrics, and leadership reporting that measure effectiveness and business value is required.
  • Applicants must be authorized to work for any employer in the United States.
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.
Desired Qualifications
  • Hands-on familiarity with Microsoft Purview is preferred.
  • Experience with Collibra, Alation, Atlan, or similar tools is a plus.
  • An advanced degree in Information Systems, Data Management, Analytics, Computer Science, Business, or a related field is preferred.
  • Experience supporting governance for analytics, machine learning, generative AI, large language models, automation, and agentic AI use cases is preferred.
  • Experience in regulated industries such as pharmaceuticals, medical devices, life sciences, healthcare, financial services, or other compliance-focused environments is preferred.
  • Relevant certifications in data governance, data management, analytics, AI governance, or related disciplines are preferred.

Bausch Lomb is a global eye health company that develops and supplies products across vision care, surgical care, and pharmaceuticals. Its portfolio includes contact lenses and lens-care products, ophthalmic medicines, and equipment and technologies used in eye surgery. The company serves eye-care professionals, patients, and consumers in markets around the world. This integrated portfolio places Bausch Lomb across consumer eye care, clinical treatment, and ophthalmic surgery, supported by research, manufacturing, regulatory, commercial, and professional-education teams serving patients and eye-care professionals. Products move through consumer, professional, clinical, and surgical healthcare channels.

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