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Sr. Manager, Supplier Data Asset, DTO

Switzerland , Zug • Posted: 2022-08-17 • 31 Views

Job Overview & Requirements

Senior Manager, Supplier Data Asset, Digital Transformation Office Location Zug, Switzerland Job Description Johnson & Johnson Consumer Inc. is currently recruiting for a Senior Manager, Supplier Data Asset, position within the Digital Transformation Office. Johnson & Johnson Consumer Inc., based in Skillman, N.J., is one of the world's largest consumer health and personal care products company. Our consumer companies produce many of the world's most trusted brands, among them JOHNSON'S® Baby, BAND-AID®, NEUTROGENA®, TYLENOL®, MOTRIN®, and LISTERINE®. Each one of our consumer businesses embraces innovative science to create products that anticipate consumer needs and create experiences that help them live healthy, vibrant lives. Johnson & Johnson, we believe good health is the foundation of vibrant lives, thriving communities and forward progress. That’s why for more than 130 years, we have aimed to keep people well at every age and every stage of life. Today, as the world’s largest and most broadly-based healthcare company, we are committed to using our reach and size for good. We strive to improve access and affordability, create healthier communities, and put a healthy mind, body, and environment within reach of everyone, everywhere. Every day, our more than 130,000 employees across the world are blending heart, science, and ingenuity to profoundly change the trajectory of health for humanity. The Consumer Health organization is on a journey to become a Digital-First organization. The Digital Transformation Office is driving the overall Digital transformation, by building and deploying end-to-end digital solutions that solve unmet needs and generate value through a fully integrated digital ecosystem. Along the journey, this team is transforming underlying business processes, building sustainable support model, and driving adoption of digital tools that generate new value and improve employee, customer, and consumer experiences. Team members of the DTO demonstrate strong experience in supply chain, end to end thinking, digital acumen and ensure proper linkages to the digital strategies of partner functions (R&D, Commercial, Quality etc.). To enable the delivery of cutting-edge digital solutions and new ways of working, the Digital Transformation Office is building foundational, reusable, and scalable data assets. The Sr. Manager will lead and design the end-to-end data lifecycle including execution of data sourcing, harmonization, and curation for the Supplier Data Asset. This individual will be responsible for leading data management governance within the data domain and partnering with various data management and operations teams to define and implement data standards and improve business processes in support of data quality. He/she will collect data requirements from data consumers, capability owners, and digital product owners within the data domain or across domains, communicate data requirements to data providers and monitor compliance to these requirements. This individual will coordinate with business process stakeholders to ensure that the proper business context and impact are considered in discussions regarding specific data elements. The Senior Manager, Supplier Data Asset will apply advanced analytics, intelligent automation, data science, and other cutting-edge technology to continuously improve processes and drive greater value and efficiency in overall data management processes. Major Duties & Responsibilities Design a Data Asset strategy that will accelerate the Consumer Health Digital Transformation and drive financial and strategic business outcomes. Lead E2E data sourcing, harmonization, and curation for the data domain. Collect data requirements from data consumers, capability owners, and digital product owners within the Data domain or across domains, communicate data requirements to data providers and monitor compliance to these requirements. Lead governance of data standards within the data domain, and partner with SMEs and Data Management teams to implement data quality standards and improve business processes in support of data quality. Create and espouse a high-performing, diverse and inclusive team culture where different viewpoints are visibly encouraged and supported. Continuously raise the bar on performance, technical depth, product management results, and people leadership skills. Manage high performing staff across subject matter areas. Qualifications Qualifications Bachelor of Science or Bachelor of Engineering at a minimum. Specialization in data science, data engineering or advanced analytics fields is strongly preferred. Master of Business Administration (MBA), master’s degree in data science and/or PhD is also strongly preferred. Minimum of 10 years of business experience with at least 5 years of Supply Chain, IT, or relevant functional experience required. Must be well-versed in analyzing data, segmenting, rationalizing, defining, tracing lineage, developing controls, tracking issues, influencing ownership, as well as ensuring it is fit-for-purpose and ready for usage. Experience with data modeling and data analysis techniques. Experience defining data management strategy and associated operational standards (e.g., Data Lifecycle Management, Data Quality standards). Subject matter expertise in Supply Chain data (e.g., Material Master, Vendor Master), operational and transactional ERP data, Supplier/External Manufacturer Collaboration data, other external data. Experience in leading large, cross-functional projects & programs is required. Strong strategic mind, outstanding critical thinking, analytical, influencing, and interpersonal skills are required. Strong analytical and problem-solving skills, with the ability to understand business and technical functions, process information quickly, and assess impacts to data elements; sound judgement is required. Outstanding stakeholder management experience at the most senior levels, superior influencing, and collaboration skills required. Thought leadership with an agile mindset experienced in shaping solutions, with strong communication, and partnership skills is required. Must be comfortable with constructively challenging the status quo and looking for new ways to improve processes and results. Experience in reference data operational processes and data lifecycle activities is preferred Prior experience leading digital transformation and driving capability maturity across enterprises is preferred. Strong industry knowledge and business acumen preferred. Experience in working with Microsoft Azure stack preferred. Project management experience is required (Agile project management methodology is preferred) Experience with vendor management, VMI, Multi-Enterprise Supplier Network Collaboration, procure to pay systems / process is preferred. Experience working across Supply Chain domains (planning, procurement, manufacturing, delivery / logistics, quality, finance) is preferred. Experience working in or with a complex global organization spanning across functions is preferred. Experience with acquisitions and divestitures is a plus. Familiarity with financial statements and methodologies (P&L, Balance Sheet, COGs, GP, ROI, NPV, IRR) is a plus. Note: this position may require up to 15% travel (domestic and/or international). Do you strive to join an outstanding team that is dynamic and ever-changing? Is career growth and opportunity appealing to you? Apply to this opportunity today. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Primary Location Switzerland-Zug-Zug- Organization JNTL Consumer Health I (Switzerland) GmbH (8523) Job Function R&D Requisition ID 2206060704W
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Job Summary

Category Vacant
Country Switzerland
City Zug
Employment Type Full Time
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