Job Description
Note: The job is a remote job and is open to candidates in USA. Oracle is a world leader in cloud solutions, committed to innovation and inclusivity. The Senior Service Solution Architect will develop service innovations, optimize processes, and deliver insights to empower the organization, focusing on building and selling service solutions in Cloud, SaaS, and AI domains. Responsibilities • Design, build, and sell solutions for data layer architectures, Oracle applications, and AI systems to solve specific business problems and improve workflows • Build repeatable offerings for global customers with mission-critical estates in multicloud enterprise environments • Create and present customer solutions focused on the full customer lifecycle • Design and implement cost-effective architecture, recommending and applying tools and best practices for budgeting, monitoring, and optimizing customer cloud spend across • Work with Sales and Presales teams to perform discovery, build service solution, present solutions, and represent the solution in the contracting process • Work closely with cross-functional teams, including architects, product managers, delivery, and business stakeholders, to define project goals and deliver solutions that meet organizational needs • Document model design, methodologies, and results. Report findings and progress to technical and non-technical stakeholders. Exercise comportment with extremely strong customer-facing presentation and interaction skills at executive management and C-Level. Develop and maintain architecture blueprints, sales guides, and presales best practices for operations Skills • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering or related field required; Ph.D. preferred • Multiple cloud certifications such as Oracle Certifications: OCI Associate Architect, OCI Architect Professional; AWS Certifications: AWS Solutions Architect, AWS Security Specialist, Microsoft Certifications: Azure Security Engineer, Associate, Azure Solutions Architect, Google Certifications: GCP Cloud Architect Certification • Past services experience with Enterprise applications such as Oracle HCM, Oracle ERP, or eBusiness Suite • 15+ years in IT services, including significant direct experience in customer facing and service management • Proficient with cloud platforms (OCI, GCP, Azure, AWS) and environments on-Premise for Enterprise application operations • Hands-on experience architecting, deploying, selling or managing enterprise workloads and data migrations on at least two major hyperscaler platforms (AWS, Azure, GCP) • Past experience implementing, operating, or selling services for enterprise applications • Prior experience solution and selling AI models to enterprise customers • Commercial constructs and contract management, including construction of TCO analyses and pricing for complex service offers • Large scale IT project and program management, including major transformation, migration, and solution deployment projects • Strong analytical and problem-solving abilities to translate business problems into technical requirements • Excellent written and verbal communication capability to convey complex concepts to both technical and non-technical audiences • Project Management: Experience managed multiple projects concurrently. Developing a plan, deliverables, and timely reporting to executives • Communications: Significant ability to create compelling presentations and live present programs and customer solutions • SLAs and Resiliency: Expertise designing and selling resilient solutions. Experience architecting to SLAs and explaining SLAs to customers • ITIL: Experience with the ITIL model and designing services solutions • Application Functionality: Experience with SaaS Enterprise application management, such as Oracle HCM, or Oracle ERP • Cloud Networking: VPCs, VCNs, WAN connectivity, Fastconnect (OCI), ExpressRoute (Azure), Direct Connect (AWS), Cloud Interconnect (GCP) • Resilience: Ability to analyze and optimize cloud resource allocation, selection of instance types, and storage tiers to balance performance, HA, Business Continuity, and cost in hyperscaler environments • Structured Data: Oracle Database, NoSQL, MySQL, and other databases • Data Processing: Thorough grasp of Spark, Kafka, Hadoop, MapReduce • Data Design: Proficient in handling large datasets, data structures and algorithms for machine learning workflows • Analytics: Comprehensive predictive, diagnostic and prescriptive analytics skills and usage of relevant tools • Development Tools: Basic understanding of Python, R, SQL, Java, Langchain • AI/ML Frameworks: TensorFlow, PyTorch, and GenAI Frameworks like Autogen • Data Science: Basic understanding of MLOps practices requiring projects, model deployments, data science SDKs, Jupyterlab notebooks • AI Governance: Understanding of ethical AI and responsible AI practices • Certification as TOGAF and/or Zachman Enterprise Archite
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