S/4HANA Data Quality & Analytics Lead – Finance

Introduction to the role:

The S/4 Data Quality and Analytics Lead – Finance is responsible for leading the delivery of data quality activities and remediation within the S/4 programme. This role is aligned with the Finance organization and supports Data Design Leads by ensuring that data is ready for S/4 HANA deployments and complies with defined standards.

Additionally, the role involves defining and implementing the data quality framework needed to ensure that S/4 data remains fit for purpose post-deployment and can continue to be used with confidence.

Accountabilities:

- Lead development of the Finance S/4 Data Quality strategy, and the roadmap for execution.

- Define data quality requirements, metrics, and processes for measuring and reporting across S/4 data objects.

- Assist in defining data profiling requirements and provide business interpretation of profiling outputs.
- Support Data Design teams in defining data standards through analysis of existing SAP ECC data sets.
- Define and document data problem statements and quality improvement plans.
- Oversee data quality issue management.
- Deliver relevant data quality enhancements at source to simplify S/4HANA data migration.
- Support impact assessments, design, and management of interim state reporting navigating through the split system landscape of partial S/4HANA and ECC deployment.
- Contribute to the development of the S/4 Cleanse and Migrate strategy and execution plans.
- Define the scope of data cleansing and the data cleanse delivery approach, aligned to the cleanse and migrate strategy.
- Define the data quality organization and framework required to support ongoing monitoring and remediation of data.
- Ensure delivery aligns with the S/4 Data Governance framework where relevant.
- Contribute to the development of the S/4 Data Governance Strategy and Roadmap.
- Establish relevant “keep clean” capabilities into BAU.

Essential Skills/Experience:

- Strong functional experience in data quality management including data quality rules, data quality reporting, issue management, and issue remediation.
- Specialist knowledge of data quality management principles and practices (including data profiling, data discovery, root cause analysis, designing, and implementing automated DQ solutions).
- Proven track record in applying leading-edge data quality enhancement capabilities covering profiling, analysis, migration, cleanse to land step-change in data quality.
- Experience in managing complex data quality analysis and improvement projects.
- Demonstrated ability to lead in a diverse, global team, within and across functions. Experience with global working and across cultures.
- Strong communication skills with the ability to influence others to achieve objectives.
- Ability to lead and manage negotiations across a complex group, to a target outcome.
- Proven track record of delivery and ability to effectively prioritize to ensure goals and outcomes are achieved.
- Good understanding of Master Data Management and Reference Data Management.
- Ability to work with business users to elicit and formally define their requirements.
- Strong analytical and problem-solving skills.
- Able to lead conflicting priorities.
- Working knowledge of SAP ECC Modules.

Desirable Skills/Experience:

- Good understanding of or experience in other data-related capabilities including data architecture, data analytics, data modeling, self-assessment, policy assurance, quality assurance, and control testing.
- Previous experience with data management tools.
- S/4 HANA implementation programme experience.
- Experience in life sciences and healthcare.
- Experience in Data Governance.
- In-depth knowledge of relevant key business processes.
- Demonstrable knowledge of transactions and reporting in an SAP environment, including an understanding of how data integrates within an SAP architecture.
- Understanding of data concepts and experience in data management capabilities including data lineage, data definitions, and data governance.
- Experience in Business/IT partnering for the implementation of Data Governance-related solutions.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace, and challenge perceptions.

That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Join a place built on innovation and creativity developing the next generation of therapeutics. Be part of an environment where questioning minds never settle until new insights are uncovered that challenge convention. Acting with urgency, you’ll be empowered to take smart risks to push the boundaries. Committed to making the right choices to win, spotting opportunities, and developing our resilience to solve complex challenges.

You will work with teams that reflect the diversity of the communities we operate in. Here, sharing and understanding different perspectives is expected. Staying closely connected with one another is how we work. Drawing on our different views, experiences, and strengths is key to unlocking our plans for industry-leading growth; it propels us forward to reach bold new solutions.

Ready to make a difference? Apply now!

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.