SAP Master Data Manager

As an SAP Master Data Manager at e.l.f. Beauty, your key responsibilities include defining data collection processes, collaborating with the Master Data Steward on source data, cataloging data types, collecting and resolving data issues, advocating for data best practices among employees, ensuring data quality, and providing training to data owners. You’ll be at the forefront of ensuring that our data is organized and effectively utilized throughout the organization.

To qualify for the SAP Master Data Manager role at e.l.f. Beauty, you need at least 5 years of experience specifically managing SAP Material Master Data and a Bachelor's degree. Experience in the beauty industry or with Centric PLM is highly preferred, along with excellent communication and analytical skills. Additionally, proficiency with Microsoft Excel and the Microsoft Suite is essential.

e.l.f. Beauty places a strong emphasis on career development for our team members. As an SAP Master Data Manager, you will not only have opportunities for training and skill-building but also the chance to collaborate with cross-functional teams, allowing you to expand your experience in data governance and management. Our culture fosters continuous learning and encourages innovation, setting you up for long-term success.

At e.l.f. Beauty, you can expect a dynamic work environment that appreciates creativity and teamwork. The position offers a hybrid model of three days in the office and two days working from home, promoting flexibility and work-life balance. Our company culture is known for being open and supportive, which allows you to thrive while managing critical data processes.

Interpersonal skills are vital for an SAP Master Data Manager at e.l.f. Beauty, as you will serve as a bridge between IT and business teams. Strong communication skills, both verbal and written, are essential to effectively share complex data concepts. Additionally, being a team player and possessing the ability to collaborate with diverse stakeholders will help ensure successful data management across functions.

In my experience, defining data collection processes begins with understanding the end goals clearly. I engage with stakeholders to outline what data is required, how it will be used, and the necessary quality standards. I ensure a collaborative approach where feedback is incorporated, leading to streamlined and efficient data collection methods.

Certainly! In a previous role, I faced a situation where a batch of product data was incorrectly categorized. I quickly organized a cross-functional team meeting to triage the issue, implemented a process to verify existing data, and communicated transparently with stakeholders about the resolution steps. This proactive approach reduced potential business disruptions and improved overall data integrity.

Maintaining data quality is paramount. I recommend establishing regular audits of master data, implementing automated checks when possible, and ensuring that there’s a clear ownership structure for data. Additionally, training and educating team members on your governance policies can foster a culture of accountability, which is essential for high-quality data management.

I find that the best way to educate employees on data governance is through interactive workshops and practical training sessions. I also use visual aids and real-world examples to illustrate the importance of data quality and compliance. Continuous engagement, such as periodic refreshers and newsletters, keeps the conversation going and encourages a culture of data accuracy.

I’ve successfully used a variety of tools including SAP for master data management, Excel for data analysis, and various PLM tools like Centric PLM for product lifecycle data. Familiarity with these technologies allows me to manage data effectively and facilitate more comprehensive reporting and insights.

When handling multiple data issues, I prioritize based on the impact each issue has on the business. I assess which problems affect crucial operations or compliance first and address those that can create significant disruptions. Communicating with relevant stakeholders helps keep everyone informed and aligned on priorities.

Collaboration between IT and business teams is a core part of my role. I work to bridge the gap by facilitating regular meetings, actively listening to both sides, and translating technical jargon into business-friendly language. Building strong working relationships has proven essential in ensuring alignment and achieving our shared objectives.

I have managed several system implementations aimed at enhancing data management. My approach typically involves mapping current processes, identifying areas for improvement, and collaborating closely with IT to ensure the new system fulfills our requirements. I guide training for users post-implementation to ensure a smooth transition and effective utilization.

My motivation stems from a passion for the beauty industry and recognizing that quality data management allows for better decision-making and product offerings. Contributing to a company known for its commitment to clean, cruelty-free beauty amplifies this satisfaction, as I can directly influence how we innovate and serve our customers.

I stay updated on best practices and new technologies in data management through continuous learning—attending workshops, webinars, and industry conferences. Additionally, I follow reputable data management professionals and organizations on social media, which helps me gain insights into emerging trends and technologies in the field.