Lead Consultant - S/4 Data Expert Production to Dispatch Door

Job Description

Role Title: S/4 Data Expert Production to Dispatch Door – Asset Management/Plant Maintenance

Location: Chennai

We are one purpose-led global organisation. 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 and our employees have a united purpose to make a difference to patients around the world who need both our medicines and the ongoing developments from our science. 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, enhanced 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 aiming 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.

Job Summary:

The S/4 Data Expert is responsible for supporting on the definition of business data requirements within the S/4 HANA design process, along with defining and documenting the S/4 Enterprise Data Standards and ensuring that existing ECC data is fit for purpose at the point of migration to S/4 HANA for a defined group of data objects / processes.

The role is aligned to Asset Management that sits within the P2DD EPO and is responsible for proactively engaging with the wider business (including data offices and governance forums) and other relevant partners to ensure that the S/4 data design meets business requirements, aligns to SAP standard where possible and that S/4 data can be used with confidence achieving a Quality Core.

What you’ll do

• Support the definition, documentation and implementation of S/4 Enterprise Data standards related to EPO area / Material Master, including core/conditional master data, reference data and metadata – collecting the business context and ensuring approval in accordance with defined data governance. To include the development of conceptual models, business glossary and ontologies.
• Apply data, process and object expertise to support S/4 process design, acting as an integral part of the EPO area / Material Master design team, considering both business process and analytics requirements.
• Collaborates with current business data capability to ensure that S/4 design and the wider enterprise data design remain aligned (including supporting interim state).
• Influence in the prioritisation of data delivery as related to EPO area / Material Master, defining and leading reporting on progress to relevant collaborators.
• Supports in defining the change journey from current to future state data design including completion of change impact assessments and outline of critical use case examples.
• Ensure that non-SAP system requirements are understood and considered in the data design!
• Contribute to the development of the S/4 Data Governance Strategy and Roadmap, in collaboration with the business data offices, the S/4 Data & Analytics leadership team and wider project delivery engine where relevant.
• Assist in the development of the S/4 Data Quality Strategy and secure its execution through the steering and agreeing the data quality approach for data within EPO area / Material Master enabling simplified migration, interim state, and the ongoing management of data to ensure that it remains fit for purpose post deployment.
• Contribute to the development of the S/4 Cleanse and Migrate strategy and execution approaches and plans.
• Input to the cleanse and enrichment approach for data within EPO area / Material Master in accordance with the overall data cleanse strategy.
• Provide support to project data migration processes, including the co-ordination of pre and post load business sign off.
• Ensure that data within EPO area / Material Master aligns with the S/4 HANA Data Governance Framework and AZ Global Data Standards.
• Assist the S/4 Data Governance team in the creation of effective global procedures to ensure that each data asset is governed throughout its lifecycle.

Essential for the role

Technical Expertise:

• Proven experience with SAP S/4HANA data management, specifically in Asset Management or Plant Maintenance modules.
• Strong knowledge of enterprise data standards, data governance frameworks, and data quality strategies.
• Hands-on experience with data cleansing, data enrichment, and data migration processes.

Analytical and Process Skills:

• Ability to apply data, process, and object expertise to support S/4 process design with a focus on both business processes and analytics.
• Proficient in conducting change impact assessments and developing future state data designs.

Collaboration and Communication:

• Excellent communication and interpersonal skills for engaging with cross-functional teams and stakeholders.
• Demonstrated ability to influence data delivery priorities and report progress effectively.

Desirable for the role:

Project Management Experience:

• Experience in large-scale ERP implementations or enterprise transformation initiatives.

Soft Skills:

• Strong problem-solving abilities and adaptability in rapidly changing environments.
• Detail-oriented with a focus on data accuracy and integrity.

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 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.
• Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and hope its yours
• If you’re curious to know more then we welcome your application no later than

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 authorization and employment eligibility verification requirements.