At a Glance
- Tasks: Lead the data migration from SAP to Oracle Fusion Cloud across various business functions.
- Company: Join a forward-thinking company focused on digital transformation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on data quality and governance.
- Why this job: Be at the forefront of tech transformation and make a significant impact.
- Qualifications: Experience in ERP data migrations and strong stakeholder management skills.
The predicted salary is between 48000 - 72000 £ per year.
Programme: SAP On-Prem ERP to Oracle Fusion Cloud (Finance, Procurement, HCM Core, Payroll)
Role Type: Programme / Delivery Role (Workstream Lead)
1. Role Purpose
The Data Migration Lead is accountable for planning, designing, delivering, and governing the end‑to‑end data migration from SAP on‑prem to Oracle Fusion Cloud across Finance, Procurement, HCM Core, and Payroll. The role bridges technical and business teams to ensure high data quality, repeatable migration cycles, audit‑ready reconciliation, and successful cutover execution.
2. Key Accountabilities
- Define and maintain the Data Migration Strategy (approach, scope, tooling, cycles)
- Establish data ownership and sign‑off governance by domain (Finance/Procurement/HCM/Payroll)
- Define migrate vs archive rules, retention windows, and cutover principles
- Own the data migration plan, milestones, RAID, and dependencies
B) Data Scope & Mapping (Business + Technical)
- Confirm data objects in scope across Finance, Procurement, HCM Core, and Payroll
- Lead source‑to‑target mapping workshops and documentation
- Define transformation rules and business validation approach
- Ensure alignment of organisational structures, hierarchies, and reference data
C) Extraction, Transformation & Load (ETL)
- Design staging approach and load sequencing
- Ensure Oracle load method is fit‑for‑purpose (FBDI for Finance/Procurement; HDL/HSDL for HCM)
- Define runbooks, error handling, re‑runs, and load performance constraints
D) Data Quality & Cleansing
- Drive data profiling and cleansing activities (duplicates, missing fields, invalid dates, inactive records)
- Create and maintain the Data Quality Dashboard and issue log
- Ensure compliance with GDPR and data privacy controls for HR/Payroll data
E) Reconciliation, Controls & Audit Evidence
- Define reconciliation approach (record counts, control totals, balances, payroll YTD)
- Maintain audit‑ready evidence packs for migration activities and approvals
- Own data readiness gates and provide go/no‑go input for cutover
F) Mock Loads, Dress Rehearsals & Cutover
- Plan and execute multiple mock migration cycles and dress rehearsals
- Lead final cutover extract, load, and validation activities
- Coordinate with Testing and Cutover leads to ensure readiness and execution success
- Act as a bridge between business SMEs and technical teams
- Manage delivery with system integrator/partner resources (if applicable)
- Communicate risks, progress, and decisions to PMO and programme leadership
Data Object Inventory (in‑scope / out‑of‑scope)
- Data Ownership & Sign‑off Matrix
- Source‑to‑target mapping specifications
- Mock load results packs and defect/issue logs
- Reconciliation workbooks (counts and control totals)
- Cutover runbooks and final migration sign‑off pack
- Migrate vs Archive and Retention Rules
4. Scope Coverage (Typical Data Objects)
- Finance: CoA and hierarchies, Legal entities / ledgers, Suppliers (financial attributes), GL opening balances, Fixed assets (active only)
- Procurement: Open PRs / POs, Receipts in transit / GR‑IR open items, Contracts (active only, optional)
- HCM Core: Assignments and supervisors, Locations, Jobs, grades, positions
- Payroll: Statutory IDs and payroll relationships, Opening balances and YTD balances, Elements/deductions mapping (as required)
5. Required Skills & Experience
- Proven experience leading ERP data migrations (SAP on‑prem to Oracle Fusion preferred)
- Strong understanding of SAP FI/MM and master data dependencies
- Strong understanding of HCM Core and Payroll critical data controls
- Experience with Oracle Fusion load tools: FBDI (Finance/Procurement) and HDL/HSDL (HCM)
- Strong stakeholder management with senior SMEs and delivery partners
- Understanding of data security, privacy, and GDPR controls
6. KPIs / Success Measures
- Mock load success rate ≥ 95% by maturity of cycles
- Mandatory field completeness ≥ 98–100%
- Payroll control totals matched 100%
- Cutover load completed within planned downtime window
- Low severity data issues during hypercare
7. Stakeholder Interfaces
- Finance Lead (GL/AP/Assets)
- HR Core Lead (Workers, Org, Positions)
- Payroll Lead (Balances, Statutory Compliance)
- Security Lead, PMO, System Integrator / Oracle Partner
8. Decision Rights
- Authority to stop migration runs if quality thresholds are not met
- Authority to enforce migration scope rules (active‑only, open‑items‑only)
- Authority to require business sign‑off before promoting data to the next cycle
- Authority to escalate data readiness risks to programme leadership and SteerCo
Data Migration Lead (SAP On-Prem → Oracle Fusion Cloud) - Remote - Outside IR35 employer: ANSI Solutions
At ANSI, we pride ourselves on being an exceptional employer, particularly for those looking to make a significant impact in the public sector. Our hybrid work culture promotes flexibility and collaboration, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career within the dynamic environment of UK Local Government ERP transformation. Join us to be part of a meaningful journey that not only enhances your professional capabilities but also contributes to the betterment of local communities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration Lead (SAP On-Prem → Oracle Fusion Cloud) - Remote - Outside IR35
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ANSI Solutions!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Migration Lead (SAP On-Prem → Oracle Fusion Cloud) - Remote - Outside IR35 at ANSI Solutions.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ANSI Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Data Migration Lead (SAP On-Prem → Oracle Fusion Cloud) - Remote - Outside IR35 at ANSI Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Migration Lead (SAP On-Prem → Oracle Fusion Cloud) - Remote - Outside IR35
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ANSI Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ANSI Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ANSI Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ANSI Solutions!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
