425 Sap Data Architect jobs in the United Kingdom

Data Solution Architect – Selective Data Transition / SDT

About NTT DATA Business Solutions:

NTT DATA Business Solutions Group is part of the NTT DATA Corporate Group a top 10 global IT services provider, headquartered in Tokyo, operating in more than 50 countries. We combine a global reach with local intimacy to provide premier professional SAP services from deep industry expertise consulting to applied innovations in digital, cloud, automation, and system development to business IT outsourcing.

As a global SAP Platinum Partner, NTT DATA Business Solutions Group leverages its global expertise to deliver quality outcomes whether you are a multi-national or operate in a single country. With over 15,000 SAP experts across 31 countries, we have the capability and reach to help you solve real problems and seize the next opportunity for growth around your SAP strategy and operations.

Our global award-winning SAP practice, differentiated by innovation is the undisputed leader in SAP S/4HANA. With about 500 SAP HANA clients and more than 300 SAP S/4HANA clients.

Our clients trust our deep experience and proven approaches - all around the world.

Job Summary:

The Data Solution Architect is a senior role within the Data Management Practice with responsibility for the design of Selective Data Transition / Transformation (SDT) related solutions that meets the needs of our customers. You will work alongside the practice management and SDT / Data teams solutioning and overseeing projects, from early advisory & pre-sales stages to delivery and aftercare.

Duties/Responsibilities:-

Engage closely with your Data Management colleagues, the internal and external project teams and occasionally 3rd party solution providers to design, implement and quality assure our latest inhouse Data Migration technology, the Natuvion DCS tool and related offerings.

This will include:

Support the fast internal capability & capacity growth of our SDT teams in your role as Data Solution Architect, continuously driving to improve our methodology, knowledge base and delivery speed for existing and new projects.

Work closely with our internal onshore, nearshore and offshore resources, and where required with our 3rd party partners, overseeing quality of SDT delivery according to scope and budget.

Collaboratively support the Data Management leadership at any stage of the

(pre-)sales and deal review processes in defining future project roadmaps, scope and the commercial offerings for the Data workstream.

Lead and co-ordinate integrated workshops with detail and complexity for the Data workstream.

Jointly with the Data Lead of the respective projects, deliver roadmap, scope and knowledge sessions to customers, ensuring that through the design and lifecycle of the project customers are clear on the journey to leveraging value from their SDT solution.

Act as the Data Migration design authority on the relevant SDT projects in which your area of expertise forms a significant element of the overall solution and generate consulting revenue from such activities.

Adhering to the agreed NTT DATA strategy, engage in self-directed and other learning to keep pace with new SDT technologies and developments to ensure NTT DATA remains at the forefront of the market within which we operate. Share, use and communicate expert knowledge to develop others and make business processes more effective.

Be hands on and be able to support Data Migration Consultants if required.

Be able to lead data stream health check workshops with the projects in area of expertise to identify improvements, both strategic and tactical, and define a roadmap for their delivery if changes are required.

Recognise potential for repeat and extended business with respect to the data service offering by NTT DATA and provide comprehensive input. Support NTT DATA to grow our business by being alert to the customer opportunities that present themselves, including development and escalation of NTT DATA IP opportunities, as appropriate.

Required Skills/Abilities:

Strong background in Selective Data Transformation and Data Migration with a demonstrable technical expertise and experience.

Should be adept at technically leading Data Migration teams through complex SAP Data transformation projects, with the goal of always providing real value to our clients.

Able to communicate, influence, convince and inspire effectively by own personality and act as a trusted role model and advisor within the solution architecture field of expertise.

Proven and demonstrable track record of successfully delivering customer projects and providing solutions for the resolution of complex architecture projects. Makes solid and reliable decisions in complex environments.

Strong interpersonal and soft skills, able to quickly develop relationships with all stakeholders; within NTT Data locally and globally, external customers, suppliers and partners to become a trusted advisor in your of field of expertise.

Demonstrates gravitas and personal integrity, is able to overcome unforeseen situations and keeps business objectives in mind. Drives results, effects, convinces and inspires by his/her personality, behaviour and communication style. Is a role model and ambassador.

Work on delivery projects across our customer base in varied project scenarios: advisory, solution reviews, Proof of Concepts, Brownfield S/4HANA conversions with Data Transformation / Greenfield / AllField / SAP functionality update implementation projects, as well as Carve-Outs / Mergers and Data Quality focussed projects.

Contribute to our team and practice capability and growth; develop yourself and mentor our emerging talent community.

Broad ABAP experience with deep knowledge on ABAP based data selection and transformation logic.

Deep SAP table structure knowledge along with a good understanding of SAP high level business functionality.

Non-SAP system / migration experience desirable, but not required.

Personal Profile/Experience:

The successful candidate(s) will be able to demonstrate at least 10 years’ consulting industry experience overall with a minimum of 5 of those years spent working within a Selective Data Transition / Data Migration role.

Has a thirst for learning and staying on top of the evolving technology landscape. Actively shares and transfers own expertise and experience in a structured method, thus making it useful and transferable.

Proven and demonstrable experience in SDT solution design and architecture with successful delivery and experience of at least 5 full project lifecycles.

Should be skilled at leading the data related multi-disciplinary teams (including nearshore, offshore and 3rd party), developing and maintaining strong business relationships and managing data teams through complex SAP projects, with the goal of always providing real value to the client.

Proven and demonstrable track record of successfully delivering customer projects and providing solutions for the resolution of complex data projects. Makes solid and reliable decisions in complex environments.

Benefits:

Join our award-winning team at NTT DATA Business Solutions Group and be part of a thriving, innovative culture. With recognition such as the 2024 SAP® Pinnacle Awards and the Top Employer Award 2024, we offer you the chance to make a significant impact while growing your career. Here, you’ll work alongside industry experts on cutting-edge projects, contributing to transformative solutions for our clients. Interested in shaping the future with us? We’d love to hear from you.

We offer a range of benefits designed to support your well-being, career growth, and work-life balance:

Home-Based Contract: Enjoy the flexibility of a working from home contract subject to operational and project requirements, allowing you to manage your work environment effectively.

Generous Holiday Allowance: Benefit from 25 days of paid holiday annually (pro-rated for part time employees), providing ample time for relaxation and rejuvenation.

"Free Fridays" Initiative: Experience the unique perk of "Free Fridays," granting you an additional 12 days off each year. With one Free Friday granted per month, you'll have more time to pursue personal interests, spend quality time with loved ones, or simply recharge. (pro-rated for part time employees)

Financial Security: Rest assured with our Group Life Assurance offering, providing coverage of 4 times your base salary, ensuring financial protection for you and your loved ones.

Pension Scheme: Secure your future with our employer pension contribution at a competitive rate of 5%. You have the flexibility to contribute a minimum of 4%, with the option to increase your contribution for added retirement benefits.

Income Protection: Gain peace of mind with our Group Income Protection plan, safeguarding your income in the event of unexpected circumstances.

Health and Well-being: Prioritise your health with our comprehensive Private Medical Insurance plan. This coverage extends to you, with favourable rates available for family members at the L3 level and above. Additional benefits provided include: 24/7 helpline, 1-2-1 Lifestyle coaching, financial and legal support etc.

Technology and Tools: Receive essential tools for success, including a laptop and mobile phone for both business and personal use, ensuring seamless connectivity and productivity.

Wellness Initiatives: Take advantage of our cycle to work scheme, promoting active commuting and supporting your well-being with sustainable transportation options.

Environmental Responsibility: Embrace sustainability with the option to join our Electric Car Leasing scheme, contributing to a greener future while enjoying the benefits of eco-friendly transportation.

• Develop, validate, and deploy advanced statistical and machine learning models for financial applications.
• Conduct comprehensive data analysis to identify trends, risks, and opportunities in financial markets.
• Build predictive models for forecasting, risk management, fraud detection, and portfolio optimization.
• Collaborate with quantitative analysts, traders, and risk managers to define modeling requirements.
• Ensure model accuracy, robustness, and compliance with regulatory standards.
• Communicate complex analytical findings and recommendations to senior leadership.
• Stay abreast of the latest advancements in data science, machine learning, and financial modeling.

• Master's degree or Ph.D. in Finance, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field.
• 5+ years of experience in data science, with a strong focus on financial modeling and analysis.
• Proficiency in Python or R, and extensive experience with data manipulation and modeling libraries.
• Strong SQL skills and experience with relational databases.
• Deep understanding of financial markets, instruments, and risk management principles.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and communication skills.

• Design, develop, and implement sophisticated data models using machine learning and statistical techniques to identify, measure, and manage financial risks.
• Analyze large, complex datasets to uncover trends, patterns, and insights related to market risk, credit risk, and operational risk.
• Collaborate with risk managers, traders, and other stakeholders to define risk modeling requirements and objectives.
• Validate and back-test models to ensure their accuracy, reliability, and compliance with regulatory standards.
• Develop and maintain production-ready code for model deployment and monitoring, using languages such as Python or R.
• Conduct scenario analysis and stress testing to evaluate the potential impact of adverse market conditions.
• Contribute to the continuous improvement of risk management frameworks and methodologies.
• Prepare clear and concise documentation and present findings and recommendations to senior management and regulatory bodies.
• Stay abreast of the latest advancements in data science, machine learning, and financial risk management.
• Ensure all modeling activities comply with internal policies and external regulatory requirements.

• Master's or Ph.D. in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or Economics.
• Minimum of 5 years of experience as a Data Scientist or in a similar role within the financial services industry, with a focus on risk modeling.
• Strong proficiency in Python or R, including experience with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Solid understanding of financial markets, various types of financial risk, and regulatory frameworks (e.g., Basel III).
• Experience with database technologies (SQL, NoSQL) and big data platforms.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to a diverse audience.
• Ability to work effectively both independently and collaboratively within a team environment.

Role Overview
My client is seeking an experienced S/4 HANA Enterprise Solution Architect with strong expertise in data migration and integration to support a major S/4 implementation programme. The role requires hands-on architecture leadership, guiding the business and technical teams through complex data and integration challenges.

Key Responsibilities

• Lead data migration and integration strategy and execution within the S/4 HANA programme.
• Work closely with stakeholders, business leads, and technical teams to design and deliver scalable solutions.
• Ensure best practices and governance are followed across the implementation lifecycle.
• Provide architectural oversight and resolve technical issues across multiple workstreams.
• Engage with external partners and system integrators to ensure seamless delivery.

Requirements

• 2-3 full lifecycle S/4 HANA implementations with significant focus on data migration and integration.
• Proven experience as an S/4 Solution Architect on large-scale transformation programmes.
• Strong understanding of SAP migration tools and methodologies.
• Excellent stakeholder management and communication skills.
• Ability to work 2-3 days a week onsite in London.
• FMCG industry experience is highly desirable .

Contract Details

• Day Rate: 1,000
• Location: London (hybrid, 2-3 days onsite)
• Contract Type: Contract

Role Overview
My client is seeking an experienced S/4 HANA Enterprise Solution Architect with strong expertise in data migration and integration to support a major S/4 implementation programme. The role requires hands-on architecture leadership, guiding the business and technical teams through complex data and integration challenges.

Key Responsibilities

• Lead data migration and integration strategy and execution within the S/4 HANA programme.
• Work closely with stakeholders, business leads, and technical teams to design and deliver scalable solutions.
• Ensure best practices and governance are followed across the implementation lifecycle.
• Provide architectural oversight and resolve technical issues across multiple workstreams.
• Engage with external partners and system integrators to ensure seamless delivery.

Requirements

• 2-3 full lifecycle S/4 HANA implementations with significant focus on data migration and integration.
• Proven experience as an S/4 Solution Architect on large-scale transformation programmes.
• Strong understanding of SAP migration tools and methodologies.
• Excellent stakeholder management and communication skills.
• Ability to work 2-3 days a week onsite in London.
• FMCG industry experience is highly desirable .

Contract Details

• Day Rate: 1,000
• Location: London (hybrid, 2-3 days onsite)
• Contract Type: Contract