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- Tasks: Lead data management for SAP Plus, ensuring quality and governance during transformation.
- Company: Join a forward-thinking company driving SAP S/4 HANA innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of data strategy in a major tech transformation.
- Qualifications: Senior qualification in IT or data science with ERP project experience.
- Other info: Dynamic role with significant impact on business processes and analytics.
The predicted salary is between 54000 - 84000 £ per year.
The Data Lead will plan, execute and oversee data management activities for the SAP Plus modernization program, ensuring data is accurate, consistent, governed, and aligned with business processes across the division. This role is a member of the technical team on the SAP Plus project, SAP ECC to S/4 HANA transformation program. The Data Lead plays a key role in ensuring a strong data strategy, which is the foundation that supports every part of the SAP transformation, laying the groundwork for a successful migration by ensuring data quality, supporting advanced analytics and AI opportunities, and reducing risks during the transition.
Strategic Leadership
- Define the data strategy and roadmap to support SAP S/4 HANA implementation success.
- Act as the bridge between business, IT, and implementation partners to align data priorities with operational and financial goals.
- Ensure compliance with industry, regulatory, and internal data governance policies.
Data Governance & Quality
- Stand up and oversee the data governance framework for SAP Plus, including stewardship, ownership, and data quality policies.
- Lead the definition of standards for SAP master data (e.g. assets, materials, customers, vendors).
- Establish data quality metrics, monitoring and remediation process.
SAP Data Workstreams
- Oversee all data-related workstreams in the SAP project: data migration, data cleansing, enrichment, validation and cutover.
- Ensure legacy data mapping aligns with SAP S/4 HANA data models and Fiori apps.
- Manage data readiness checkpoints for testing, training, and go-live.
- Lead a cross-functional data team (internal staff and System Integrator consultants).
- Collaborate with Business Process Leads, Solution Architects, and System Integrators to align on data models with SAP modules (e.g. PM, MM, FICO, EAM).
- Guide and support data stewards across functions and geographies.
- Identify and mitigate data risks that could delay or derail ERP cutover.
- Support audit, SOX, and ESG reporting requirements through data lineage and control documentation.
Key Deliverables
- Master Data Governance (MDG) Scope Definition: Review and refine data governance framework. Ensure that data management and control policies and procedures are established and adhered to by ensuring accountability is identified for defining data standards, data quality metrics and data security protocols that ensure the integrity and confidentiality of the data.
- Data Migration Strategy: Lead the definition of the process for transferring data from legacy systems to the new ERP. Ensure the mapping of data from old to new systems, ensuring data quality during migration. Support the execution of data migration, including mock load cycles and production data loads.
- Data Quality and Enrichment Strategy: Establish standards and rules for measuring and improving data quality using existing frameworks and new S/4 requirements.
- Data Archiving and Retention Plan: Specify guidelines for archiving legacy ECC data, retention, timelines and compliance requirements.
- Initial Data Profiling and Assessment: Conduct a current state analysis of ECC data quality, completeness, and readiness for migration. Lead the definition of key data related business requirements, lead the conducting data profiling, cleansing, collection, construction.
- Stakeholder Requirements Documentation: Capture initial business, technical, and regulatory requirements for data and analytics across all workstreams and domains.
- Data Management Roadmap: Develop an integrated timeline for all data-related activities across the transformation. This includes major milestones, dependency mapping and resource plan. Support the Business Process Leads in the development of the Reporting & Analytics Strategy.
Qualifications
- Senior qualification in computer science, information technology, or data science.
- Experience in establishing governance and planning and executing data migrations for large scale ERP projects including hands on experience with ERP systems, data modeling and data integration.
- Experience leading the development and deployment of data strategies with large scale companies through deployment. This includes ensuring alignment with the technology environment.
- Proficiency in a variety of data management tools and technologies.
- Strong analytics skills to identify data issues and develop solutions.
- Project management: experience managing large projects and resources in data related projects.
- Communication and collaboration to be able to work with various stakeholders.
- Attention to detail to ensure data accuracy and quality during migration.
Data Lead, SAP in Gateshead employer: Ryze Recruitment Solutions
Contact Detail:
Ryze Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Lead, SAP in Gateshead
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Lead role.
✨Tip Number 2
Prepare for interviews by diving deep into SAP S/4 HANA and data governance topics. Brush up on your knowledge of data migration strategies and be ready to discuss how you would tackle data quality issues. We want you to shine when it comes to showcasing your expertise!
✨Tip Number 3
Don’t forget to tailor your approach! When you’re applying through our website, make sure to highlight your experience with data management tools and your project management skills. We love seeing candidates who can connect their background to the specific needs of the role.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Share any additional thoughts you have about the role or how you can contribute to the SAP Plus project. We appreciate candidates who show genuine interest!
We think you need these skills to ace Data Lead, SAP in Gateshead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Lead role. Highlight your experience with data governance, migration, and any relevant SAP projects. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data management and how you can contribute to the SAP Plus project. Let us know what excites you about this opportunity.
Showcase Your Achievements: When detailing your experience, focus on specific achievements in data strategy and governance. Numbers speak volumes, so if you've improved data quality or led successful migrations, shout about it!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Ryze Recruitment Solutions
✨Know Your Data Inside Out
As a Data Lead, you'll need to demonstrate a deep understanding of data management principles. Brush up on your knowledge of data governance frameworks, data quality metrics, and the specifics of SAP S/4 HANA. Be ready to discuss how you've successfully managed data migrations in the past.
✨Showcase Your Strategic Thinking
This role requires strategic leadership, so prepare to talk about how you would define a data strategy for the SAP Plus project. Think about how you can align data priorities with business goals and be ready to share examples of how you've done this before.
✨Prepare for Technical Questions
Expect technical questions related to data migration processes, data mapping, and integration with ERP systems. Brush up on your technical skills and be prepared to explain complex concepts in a way that non-technical stakeholders can understand.
✨Demonstrate Collaboration Skills
You'll be working with various teams, so highlight your experience in cross-functional collaboration. Prepare examples of how you've successfully worked with IT, business leaders, and external partners to achieve data-related goals.
