Data Domain Lead – Material Master
Data Domain Lead – Material Master
The Axial Programme (Global S/4HANA implementation)
Location: Guadalajara, MX. Hybrid.
We are a purpose-led global organisation. We are the enablers and innovators, ensuring that we can fulfil our mission to push the boundaries of science and discover and develop life-changing medicines. We take pride in working close to the cause, opening the locks to save lives, ultimately making a massive difference to the outside world.
AstraZeneca (AZ) is in a period of strong growth. Our employees have a united purpose to make a difference to patients worldwide who need our medicines and our science's ongoing developments. In this journey AZ must continue to work across borders and with partners and new colleagues in a fast and seamless way. The ambition, size and complexity of the organisation, coupled with the opportunities afforded by new technology, has led the Board to approve a large-scale transformation programme – Axial.
The Axial Programme will be powered by S/4HANA a new ERP (Enterprise Resource Planning) system which will be implemented right across the organisation and will provide our business with standardised processes, improved financial management, common data and real time reporting, transforming the way we work through our entire supply chain - from bench to patient.
The new system will be used by more than 20,000 employees daily, is foundational to all AZ entities and is central to most core business processes. This is a once in a generation programme for AstraZeneca and will shape our ways of working globally for many years to come.
The Axial programme needs the best talent to work in it. Whether it’s the technical skills, business understanding or change leadership, we want to ensure we have the strongest team deployed throughout. We are striving to deliver a world class change programme that leaves all employees with a fuller understanding of their role in the end-to-end nature of our global company. This programme will provide AZ with a competitive edge, to the benefit of our employees, customers and patients.
What you’ll do
Master Data Management is a core component of the Axial Data & Analytics Organization. Designing and implementing the standards, processes, policies and procedures for core master domains to enable the most critical business processes. The data domain lead works directly with various data and process experts from all process areas using the core master data domains. A wide variety of tasks and responsibilities provide exposure to multiple business processes, operating units, and business data that will give the professional a solid foundation of knowledge for future career growth and development at AstraZeneca.
The data domain lead, along with the rest of the D&A Axial team, will work to achieve the AstraZeneca D&A vision by elevating master data management and governance.
- Supporting design and implementation of Axial data processes, tools and operating model
- Design, implementation and rollout of SAP MDG for core master data objects.
- Maintain and continuously improve data standards, business rules, and processes throughout the Axial deployment.
- Support localization as a leading domain expert in design, testing, deployment and migration/cleansing.
- Realizing DQaaS vision for the respected core domain – including the definition of data quality targets and focusing on automation
- Aligning and collaborating with BAU data offices
- Managing a team of data domain experts
- Providing Training
Essential for the role
Education:
- Minimum Bachelor's degree or equivalent experience in business or a technical field, or equivalent level of experience in a data analysis/administration, data quality, data governance, or related field
Experience:
- 3 -6 years of meaningful professional experience in the respected SAP data domain
- Solid grasp of the business impact of data and data quality
- Profound understanding of modern data governance concepts
- Experience with master data governance tools – preferably SAP MDG
Skills:
- Affinity and interest in data quality and governance topics
- Meticulous approach to working and attention to detail
- Good communication skills and proficiency in Microsoft Office products
- Decisive when faced with multiple options or methods for solving problems or creating solutions
- Ability to work in a fast paced environment
Desirable for the role
- Demonstrated ability in the Data Management /Governance
- Experience in SAP ECC or S4/HANA
- Good understanding of SAP MDG
- Experience with DQM tools and data catalogues
- Pharmaceutical Industry or shared services experience
Why AstraZeneca?
At AstraZeneca, we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and is always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.
So, what’s next?
- Are you already imaging yourself joining our team? Good, because we can’t wait to hear from you, apply here!
Where can I find out more?
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.
