SAP Data & Analytics Architect Senior Manager
- london, england, United Kingdom
- £90 - £120 Per Hour
Job Description
SAP Data & Analytics Architect – Senior Manager
The SAP Data & Analytics Architect – Senior Manager leads enterprise-wide data transformation initiatives leveraging SAP’s modern analytics and data platform capabilities, including SAP Business Data Cloud (BDC), SAP Datasphere, SAP Analytics Cloud (SAC), and SAP HANA Cloud.
This role combines strategic advisory, solution architecture, delivery leadership, and stakeholder engagement to design and implement scalable, high-quality data and analytics solutions that support business transformation objectives.
Key Responsibilities
Strategy & Leadership
- Define and drive SAP Data & Analytics strategies aligned with business and digital transformation goals.
- Lead large-scale transformation programs involving SAP BDC, Datasphere, SAC, AI, and enterprise cloud data platforms.
- Act as a trusted advisor to executive and senior business stakeholders.
- Establish best practices, governance frameworks, architectural standards, and delivery methodologies.
- Provide leadership and mentorship to architecture, analytics, and delivery teams.
Solution Architecture & Design
Architect end-to-end data and analytics platforms utilizing:
- SAP Business Data Cloud (BDC) for unified data ecosystems and business context integration.
- SAP Datasphere for data modeling, federation, virtualization, and semantic layer development.
- SAP Analytics Cloud (SAC) for reporting, dashboards, planning, and predictive analytics.
- SAP BDC Connect and Data Products frameworks.
- Intelligent Applications and Data Packages.
- Medallion Architecture patterns leveraging SAP HANA Cloud.
- AI-enabled analytics and data-driven decision support.
Key responsibilities include:
- Designing analytical, semantic, and business-layer data models aligned with organizational KPIs and reporting requirements.
- Defining data integration strategies across SAP and non‑SAP environments, including real‑time, batch, and hybrid architectures.
- Designing and governing operational reporting solutions, including:
- SAP S/4HANA Embedded Analytics
- Virtual Data Models (VDM)
- CDS Views and Custom CDS Extensions
- SuccessFactors reporting, domains, and custom field enablement
Integration & Ecosystem Architecture
- Integrate SAP and non‑SAP applications, including:
- SAP S/4HANA
- SuccessFactors
- Integrated Business Planning (IBP)
- BW/4HANA
- ECC
- Third‑party enterprise applications and cloud platforms
Delivery & Program Management
- Lead end-to-end SAP Analytics and Planning implementations, including:
- Requirements gathering
- Stakeholder workshops
- Solution design
- Build and configuration
- Testing and validation
- Deployment and hypercare support
Business Development & Thought Leadership
- Support business development activities, including:
- Solution proposals
- Client presentations
- RFP/RFI responses
- Architecture assessments and roadmap engagements
Required Skills & Experience
Functional Expertise
- Strong understanding of business processes and analytics across:
- Financial Planning & Analysis (FP&A)
- Supply Chain Analytics
- Sales and Commercial Analytics
- Operational Performance Management
Qualifications
Preferred certifications include:
- SAP Business Data Cloud
- SAP Analytics Cloud
- SAP Datasphere
- SAP BW/4HANA
Additional cloud, data, analytics, or architecture certifications are advantageous.
- Bachelor’s or Master’s degree in Information Technology, Computer Science, Data Analytics, Engineering, or a related discipline.
Experience
- 10–15+ years of experience in SAP Data & Analytics.
- 5+ years in architecture leadership, practice leadership, or senior management roles.
- Proven track record delivering complex, enterprise‑scale SAP analytics and data transformation programs.
- Experience leading cross‑functional teams and engaging with executive stakeholders.
Preferred Attributes
- Experience across multiple industries such as Retail, Consumer Products, Manufacturing, Life Sciences, Financial Services, Energy, or Public Sector.
- Exposure to AI/ML integration within enterprise analytics platforms.
- Strong consulting, advisory, or client‑facing experience.
- Excellent communication, stakeholder management, and leadership skills.
- Ability to bridge business strategy and technology execution in complex transformation programs.


