Chief Bdc Data Architect

Chief BDC Data Architect - Premium Hub CoE AI, Data & Analytics LACSAP SE BRL 674.000 - 1.149.000 Chief BDC Data Architect - Premium Hub CoE AI, Data & Analytics LACWe help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What You'll DoThe Chief BDC (Business Data Cloud) Data Architect is a senior technology leader responsible for defining and governing the customer’s end-to-end data architecture. You will position SAP BDC as the enterprise data foundation while aligning it with modern industry platforms such as Databricks, Snowflake, and hyperscaler services to enable scalable analytics and AI use cases. As the primary architecture advisor to SAPs top Enterprise Customers, you will shape their data strategy and vision, create architecture roadmaps, and guide decisions that reduce technical debt and drive long-term value. You will establish architectural guardrails, oversee governance, and ensure solutions align with business objectives and transformation priorities. You will provide architecture leadership across the delivery lifecycle—solution design, implementation, and operational readiness—while supporting critical escalations and communicating risks and recommendations to C-level stakeholders. This role requires strong collaboration with Account Executives, SAP product teams, hyperscaler experts, and partners to ensure cohesive solution delivery. Through thought leadership and value-based guidance, you will accelerate adoption of SAP BDC as a modern data platform, enabling high-quality analytics, AI innovation, and measurable business outcomes. What You BringSenior strategic mindset with proven ability to influence C-level stakeholders and align technical roadmaps to business value. Deep understanding of the following Data & Analytics Platforms: Databricks, Snowflake, BigQuery, Azure/AWS/GCP analytics stacks, Kafka/Event streaming, Lakehouse patterns. Solid SAP platform understanding (BDC, Datasphere, SAC, BW/4HANA, SAP Business Suite, HANA Cloud) and experience of SAP with external data platforms integrated architecture. Strong governance, security, and compliance orientation (data lineage, MDM, Data Protection Regulations). Exceptional communication, storytelling, and presentation skills for executive forums and customer engagements. Comfort operating in ambiguous environments and managing architectural trade-offs and technical debt. Have a good understanding of the commercial and pricing aspect of SAP BDC and other SAP services in the data and analytics space. Expectations and Tasks1. Enterprise Data Strategy & Architecture Leadership Define the customer’s end-to-end data architecture vision, positioning SAP BDC as the enterprise data foundation. Create and communicate data architecture roadmaps aligned to business priorities, cloud strategy, and AI ambitions. Guide decisions on architecture trade-offs, modernization paths, and reduction of technical debt. Ensure solution integrity across SAP, hyperscaler, and non-SAP data platforms such as Databricks and Snowflake. Establish and enforce architectural guardrails, ensuring consistency, compliance, and long-term sustainability. Lead data governance frameworks, ensuring data quality, lineage, lifecycle management, and security are embedded. Drive adherence to clean-core principles and best practices for extensibility and integration. Define quality gates, architecture reviews, and approval processes across delivery teams. 3. Solution Design, Delivery Oversight & Critical Guidance Own the definition of customer-specific data solution architectures for analytics and AI use cases. Validate designs, guide project teams, and support delivery decisions across implementation phases. Support critical project escalations, ensuring timely analysis, risk resolution, and stakeholder alignment. Coordinate with SAP colleagues, partners, and hyperscaler architects to ensure cohesive delivery. 4. Executive Advisory, Communication & Stakeholder Alignment Act as the trusted data and analytics advisor to customer C-level and steering committees. Present architectural recommendations, risks, and strategic insights to executive audiences. Provide clear storytelling and narrative that connects data architecture to business value realization. Foster strong relationships across business, IT, and SAP leadership teams. Promote adoption of SAP BDC as the strategic data foundation. Enable modernization of analytics platforms, BI landscapes, and AI/ML architectures. Identify opportunities to leverage AI, automation, and advanced consumption patterns to deliver measurable business value. Contribute thought leadership, reusable architecture assets, and best practices across SAP and customer teams. 6. Business Value Assessment and TCO Realization Evaluate and articulate the business value of proposed solutions by analyzing customer pain points, desired outcomes, and measurable impact. Translate technical capabilities into clear business benefits for both internal and external stakeholders. In close collaboration with the account teams, conduct comprehensive TCO assessments to compare different data environments. Identify cost drivers, quantify savings opportunities, and present data-driven insights that support investment decisions. Education and Qualifications / Skills and CompetenciesBachelor’s or master’s degree in computer science, Engineering, Data Science, Information Systems, or Business Administration (or equivalent experience). Work Experience15–20+ years in data architecture, enterprise architecture, or analytics leadership roles; demonstrable track record leading large transformations. Proven experience in designing modern data platforms and delivering analytics/AI programs at scale. Prior roles engaging with C-suite and steering committees; experience in pre-sales/advisory and enterprise adoption & consumption. Deep expertise with data Lakehouse implementations. Deep experience with SAP AI and leading AI market solutions, with strong ability to position them effectively for enterprise adoption. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status or disability, in compliance with applicable federal, state, and local legal requirements. Compensation Range TransparencySAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step towards demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is - (BRL)USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits. #J-18808-Ljbffr