Senior Manager, SAP Business AI & Data

Key Responsibilities

SAP Business AI & Data Leadership

• Lead the strategy, architecture, engineering, and operationalization of SAP Business AI and data capabilities across the Transcend landscape.
• Lead implementation and evolution of SAP Business Data Cloud (BDC) as an AI-ready data foundation supporting analytics, AI, agents, and intelligent business processes.
• Drive adoption and engineering of SAP Joule, Joule Agents, and SAP Business AI capabilities aligned to prioritized business use cases.
• Establish scalable patterns for integrating SAP Business AI and BDC with broader IMSC AI and data platforms, including Aspire.ai.
• Align AI capabilities with trusted, contextualized, and governed enterprise data to support reliable and auditable business outcomes.
• Partner with Enterprise Architecture and AI leadership to define build, buy, and blend decisions for AI capabilities.
• Evaluate emerging SAP AI and data capabilities and determine where they can deliver meaningful business value.

Technical Product Ownership

• Lead end-to-end design, testing, deployment, and lifecycle management of enterprise AI products, data platforms, applications, and integrations.
• Translate complex business requirements into scalable product, platform, data, and solution architectures.
• Define solution structures, interfaces, dependencies, integration patterns, and non-functional requirements across complex SAP and enterprise technology landscapes.
• Drive engineering excellence across configuration, software development, APIs, data engineering, automation, AI capabilities, and platform services.
• Establish reusable architecture and engineering patterns to accelerate delivery across multiple AI and data use cases.
• Promote disciplined SDLC, DevSecOps, automated testing, observability, and change management practices.

AI Product Delivery & Value Realization

• Build and manage a portfolio of AI and data capabilities aligned to Transcend and Supply Chain priorities.
• Establish a structured lifecycle from use-case discovery and validation through engineering, deployment, adoption, measurement, and continuous enhancement.
• Prioritize AI opportunities based on business impact, data readiness, technical feasibility, risk, scalability, and reuse potential.
• Partner with business teams to define measurable outcomes and establish mechanisms to track productivity, quality, user experience, and business value.
• Drive AI literacy, adoption, and change management to enable sustainable use of AI capabilities across Transcend.

Responsible AI, Governance, Risk & Compliance

• Establish and enforce appropriate AI, data, and technology governance across the product and platform portfolio.
• Ensure solutions align with enterprise standards for privacy, security, explainability, fairness, data quality, and responsible AI.
• Partner with Privacy, Information Security, Legal, Compliance, Quality, and Architecture organizations throughout the AI product lifecycle.
• Ensure alignment with applicable regulatory and organizational requirements, including GDPR, CCPA, and the EU AI Act where relevant.
• Establish appropriate controls for AI-enabled capabilities, including monitoring, traceability, human oversight, and lifecycle governance.
• Identify, manage, and communicate technology, AI, data, delivery, and platform risks.

People & Cross-Functional Leadership

• Lead and develop high-performing, multidisciplinary teams spanning AI, data, software engineering, SAP technology, product management, and platform engineering.
• Provide technical leadership and mentorship while building organizational capabilities in SAP Business AI and modern data technologies.
• Develop strong partnerships across Transcend, Technology Services, Enterprise Architecture, Information Security, Data & AI, and business organizations.
• Manage delivery across internal teams, strategic partners, software vendors, and system integrators.
• Build a culture of innovation, accountability, inclusion, engineering excellence, experimentation, and continuous learning.