SAP Lead Consultant

Role - Lead Consultant - SAP Enterprise Analytics

Duration - 6 months with possible extension

Location - Remote (India)

Domain - Pharma & Lifesciences

Minimum experience required - 8+ years

Roles and Responsibilities:

• You will be working with the engineering teams and product owners from across the SAP space to define the detailed requirements for enterprise analytics assets (both data and dashboards).
• Lead end-to-end requirement lifecycle – from discovery through delivery.
• Collaborate with senior business partners across Finance, Commercial, Supply Chain, and Operations to identify analytical needs, challenges, and opportunities.
• Translate business requirements into clear functional specifications for data models, KPIs, dashboards, and stories.
• Influence analytics solution design and user experience, ensuring insights are intuitive, scalable, and actionable.
• Define and design SAC analytical applications, stories, dashboards, and visualizations for executive, managerial, and operational users.
• Apply best practices for SAC performance, security roles, data actions, and story optimization.
• Ensure SAC content supports Top-Floor to Shop-Floor analytics consumption
• Contribute to the design of enterprise data models in SAP Datasphere, including Analytical datasets, Reusable semantic layers and Business entity models aligned with S/4HANA
• Work with data engineering teams to define ingestion patterns, transformations, and harmonization rules.
• Drive consistency across master data, hierarchies, and reference data to support enterprise reporting.
• Support integration with BW/4HANA and other data hubs where applicable.
• Bring strong functional understanding of the Production to Dispatch and Procurement / Material management lifecycles, including Warehouse management, Product manufacturing, Quality management, Operational procurement , Procurement analytics and supplier management.
• Define P2P, manufacturing and Warehouse management Key Performance Indicators and analytics
• Leverage S/4HANA Embedded Analytics (CDS Views, Analytical Queries) to support real-time P2P, manufacturing and Warehouse management insights.
• Collaborate with P2P, manufacturing and Warehouse management functional teams to ensure analytics aligns with Fit-to-Standard S/4 processes.
• Participate in data management and analytics governance initiatives, including Analytics catalog design, KPI definitions and ownership, Data quality monitoring
• Promote data literacy and citizen analytics within the business.
• Develop and embed standards and guidelines for the analytics development lifecycle.
• Prepare materials, sample datasets, and processes for Fit-to-Standard workshops.
• Contribute to the ongoing evolution of the Analytics & AI operating model.
• Be responsible for navigation of interim states and solving the problems they generate.
• Prepare material, tools, sample data, and processes for Fit-2-Standard workshops.
• Lead integration of analytics and AI into business processes, where possible automating decision making.

Crucial Experience

• Good experience in Business Analysis within Analytics and BI domains.
• Hands-on experience in one or more full SAP S/4HANA implementation cycles, with a focus on: S/4 Embedded Analytics, SAP Analytics Cloud (SAC) and SAP Datasphere or SAP BW/4HANA
• Ability to convey complex information through analytics to diverse audiences, from executives to operational teams.
• Considerable functional exposure to Operations processes, with strong emphasis on manufacturing, warehouse management and P2P cycle.
• Good understanding of data modelling, KPI frameworks, and analytical storytelling.
• Strong learning attitude for new SAP tools, business processes, and digital innovations.

Desirable for the role

• Experience with Business Process Management tools such as SAP Signavio, BIC, or Nimbus
• Exposure to regulatory environments (e.g., GxP, SOX).
• Familiarity with AI / ML concepts and their application in enterprise analytics.
• Industry experience in Life Sciences, Pharmaceuticals, or Bio-Tech.
• Experience leading or mentoring teams of analysts and testers.
• Strong UX and design-thinking exposure for analytics solutions.
• Experience with Planning tools such as SAP BPC, Hyperion, or SAC Planning.
• Relevant SAP certifications (Analytics, S/4HANA, SAC, Datasphere), or certifications in Project Management, BI, Data Management, or Finance.
• Experience working on large-scale, complex, and multi-year SAP transformation programs.