Data Domain Lead

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Governance & Policy Job Category: Professional All Job Posting Locations: Markham, Ontario, Canada

Job Description
Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech Position Summary The Data Domain Lead is a strategic and operational leader responsible for the end-to-end management, governance, quality, standards, and execution of Master Data across multiple global value streams. This role serves as the accountable leader for a designated data domain (e.g., Customer, Product, Supplier, Finance, Asset, or Commercial Data) and ensures alignment of data processes, governance frameworks, and technology capabilities across Johnson & Johnson's global business landscape. The position leads cross-functional teams and collaborates with Business Process Owners, Value Stream Leaders, Data Stewards, Technology teams, SAP MDG teams, and global business stakeholders to establish and sustain trusted, governed, and fit-for-purpose master data that enables operational excellence, regulatory compliance, and digital transformation initiatives. The Data Domain Lead is responsible for driving enterprise data standards, maintaining the data dictionary and business glossary, governing data quality, overseeing SAP MDG capabilities, and ensuring seamless execution of master data processes throughout the entire data lifecycle.

Key Responsibilities
Domain Leadership & Strategy Manage and execute the global strategy and operating model for the assigned data domain. Lead end-to-end master data management activities across multiple global value streams and regions. Execute the vision, roadmap, governance structures, and execution plans for domain data management. Partner with business and technology leadership to ensure data supports enterprise priorities and transformation initiatives. Drive alignment of domain processes across business units, markets, and geographies. End-to-End Data Management Accountable for data creation, maintenance, enrichment, governance, quality, retirement, and ongoing stewardship activities. Ensure standardized processes exist across the full master data lifecycle. Lead execution of data readiness, migration, cleansing, harmonization, and governance initiatives for major enterprise programs. Oversee data issue management, root cause analysis, and remediation activities. Manage dependencies and integrations across multiple data domains. SAP MDG Leadership Serve as business lead and subject matter leader for SAP Master Data Governance (MDG) capabilities within the domain. Manage governance requirements, approval workflows, controls, validations, and business rules. Partner with ERP, SAP, Digital Technology (JJT), and Solution Design teams to optimize MDG processes and functionality. Drive adoption of MDG standards and best practices globally. Govern change requests, enhancements, and continuous improvement opportunities related to MDG solutions. Data Standards, Policies & Governance Define, maintain, and evolve enterprise data standards, business rules, and governance frameworks. Ensure compliance with corporate policies, regulatory requirements, and global business standards. Chair governance forums and drive decision-making related to data strategy and stewardship. Establish clear ownership, accountability, and stewardship models across the domain. Drive standardization and simplification initiatives across value streams. Data Dictionary & Metadata Management Own the development and maintenance of the enterprise Data Dictionary, Business Glossary, and Metadata Repository for the domain. Ensure critical data elements have defined business definitions, ownership, lineage, and quality requirements. Drive adoption of standardized terminology, definitions, and master data principles globally. Establish governance for data attributes, hierarchies, relationships, and reference data. Collaborate with stakeholders to