Principal Consultant - Business Data Strategy & Advisory - Data Architect

Principal Consultant - Business Data Strategy & Advisory - Data Architect Where you belong: The SAP Data & AI Adoption Team is dedicated to delivering SAP’s most innovative frameworks and solutions to customers. We empower customers to unlock the full value of their data by leveraging SAP’s Business Data Cloud, Clean Core principles, and cloud transformation methodologies. By fostering collaboration, innovation, and a customer‑centric mindset, we ensure that SAP’s transformative capabilities translate into measurable business impact. Role Overview As a Principal Consultant, Business Data Strategy & Advisory, you’ll lead customer engagements to bring SAP’s transformative frameworks for Business data to life at SAP’s customers. Reporting to the General Manager of Data & AI Adoption, your role will focus on thought leadership, fostering collaboration, and achieving customer success. Key responsibilities: Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts Advise on the implementation and optimization of reporting and planning solutions with SAP Business Data Cloud from requirements analysis and technical design to implementation Transform and modernize existing reporting and planning systems and integrate Business AI with the needed high quality data Take on program and project responsibility and support in presales activities Deepen and expand customer relationships through competent consulting and solution‑oriented approaches What you bring: Strategic Visionary and Trusted Advisor: Deep expertise in Data & Analytics and data platform architectures, concepts and business impacts, with a strategic view that aligns with SAP’s vision and cloud methodologies like RISE or Clean Core. Proven ability to align technology and business strategies for impactful customer outcomes Experienced data & analytics transformation Leader: 10+ years of experience in Data & Analytics architecture and business transformation, with a track record of inspiring customers, driving collaboration, and delivering high-impact solutions. Proven track record of delivering large scale data & analytics programs / projects in the SAP environment Customer‑centric and Change‑Oriented: Strong focus on customer success and extensive experience leading large‑scale transformations. Skilled in change management to ensure digital adoption and measurable value for clients Must‑Have Requirements: SAP data and analytics expertise: In-depth knowledge of SAP’s Data & AI portfolio (SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud, SAP BW) and the correlation with SAP Business AI, SAP RISE including Clean Core principles and SAP BTP. Experience working with leading third‑party data platforms such as Databricks and Snowflake, alongside hyperscaler ecosystems including Google Cloud Platform, AWS, and Microsoft Azure. Deep technical expertise in integration architectures across hybrid SAP and non‑SAP environments, with strong knowledge of Data Mesh and Data Fabric approaches, Big Data and Data Lake technologies, and OpenSource technologies, including the Apache ecosystem. Data architecture change management: General knowledge about hybrid data & AI architectures, with proven success in guiding impactful transformations and leading change management initiatives to support adoption. Strategic relationship building: Strong networking skills within SAP and externally, with the ability to build trusted relationships with leaders, including CIOs and CTOs Ecosystem: Strong ecosystem engagement across the SAP Data and Analytics landscape including Development, Sales, and Enterprise Architecture as well as with external partners, hyperscalers, and third‑party vendors to foster innovation, scale capabilities, drive customer impact, and maintain trusted feedback loops to inform the evolution of SAP products and concepts. Cross industry expertise and exposure: cross industry expertise with a deep knowledge in at least one industry to build relevant Use Cases for Business data platforms Nice‑to‑Have Requirements: Innovation & AI expertise: Experience integrating AI and emerging technologies to drive transformation goals and enhance customer adoption S/4HANA & business transformation expertise: S/4HANA and business transformation knowledge to identify optimization & innovation potentials in customer engagements Industry certifications: Relevant certifications, such as SAP Certified Architect or others, with recognition as a thought leader in enterprise architecture Advanced change management skills: Expertise in advanced change management practices, with a history of driving engagement and complex organizational change What we offer: Impact SAP’s Future: Lead transformative projects that define SAP’s strategy and drive customer success Collaborate with Industry Leaders: Work alongside global teams, SAP executives, and strategic customers on high‑value transformations Career Growth Opportunities: Enjoy a clear path to advancement with opportunities for specialization or leadership within SAP’s ecosystem Inclusive Work Environment: Experience a flexible environment fostering continuous learning, professional development, and innovation 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. Compensation Range Transparency : SAP 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 annual combined range for this position is 151900-340900USD. 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. Nearest Major Market: Seattle Nearest Secondary Market: Bellevue Job Segment: Data Architect, ERP, Cloud, Information Technology, IT Architecture, Data, Technology #J-18808-Ljbffr