> Markdown version of [/jobs/ext/2059274-ai-data-standards-and-enablement-lead](https://www.wearedevelopers.com/jobs/ext/2059274-ai-data-standards-and-enablement-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI & Data Standards and Enablement Lead - **Company:** Bausch & Lomb Incorporated - **Location:** Bridgewater, NJ, United States - **Experience:** Expert - **Salary:** $125,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Software Documentation, Information Systems, Data Governance, Identity and Access Management, Information Lifecycle Management, Machine Learning, Metadata, Meta-Data Management, Enterprise Data Management, Large Language Models, Generative AI, Information Technology, Collibra, Data Management, Virtual Agents - **Published:** August 14, 2026 - **Apply:** https://careers.bauschlomb.com/talentcommunity/apply/1369455057/?locale=en_US ## About the Role * Bachelor's degree in Information Systems, Data Management, Analytics, Computer Science, Business, or a related field. * 4+ years of experience in AI governance, data governance, data quality, data stewardship, analytics, enterprise enablement, digital transformation, or related disciplines. * Demonstrated 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. Specialized Training & Skills * 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. * Experience with AI use-case intake processes, risk assessments, approval workflows, governance documentation standards, and monitoring practices. * Hands-on familiarity with data catalog and governance platforms, including Microsoft Purview preferred; experience with Collibra, Alation, Atlan, or similar tools is a plus. * Ability to develop governance scorecards, dashboards, certifications, adoption metrics, and leadership reporting that measure effectiveness and business value. Preferred * Advanced degree in Information Systems, Data Management, Analytics, Computer Science, Business, or a related field. * Experience supporting governance for analytics, machine learning, generative AI, large language models (LLMs), automation, and agentic AI use cases. * Experience in regulated industries such as pharmaceuticals, medical devices, life sciences, healthcare, financial services, or other compliance-focused environments. * Relevant certifications in data governance, data management, analytics, AI governance, or related disciplines., Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. ## Description Bausch + Lomb's Global Digital and AI organization seeks a passionate and highly motivated AI and Data Standards and Enablement Lead. In this role, you will help scale Bausch + Lomb's enterprise AI and data agenda responsibly, consistently, and practically by defining enterprise AI policies and standards, leading data governance alignment, operationalizing AI governance and use-case approvals, enabling business adoption, and tracking measurable adoption and governance outcomes. This role will partner closely with Digital, AI, Enterprise Data Products, IT, Legal, Privacy, Security, Compliance, and business stakeholders to embed AI and data governance into day-to-day execution. This role reports to the Head of Enterprise Data Products., * 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. ## Related Videos - [Big Business, Big Barriers? Stress-Testing AI Initiatives.](https://www.wearedevelopers.com/videos/1022-big-business-big-barriers-stress-testing-ai-initiatives) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Panel Discussion: Responsible AI in Practice - Real-World Examples and Challenges](https://www.wearedevelopers.com/magazine/488-panel-discussion-responsible-ai-in-practice-real-world-examples-and-challenges)