• Set the vision and direction for enterprise ontologies, business glossaries, and semantic models to unify understanding of core business concepts. • Lead the development and evolution of canonical data models, conceptual information models, and domain models at scale, ensuring strategic alignment and reusability. • Drive alignment of ontologies and information models with enterprise strategy, regulatory requirements, and operational imperatives. • Serve as the principal authority for metadata and business glossary standards. • Oversee the enhancement of metadata quality through governance processes, stewardship workflows, and continuous improvement initiatives. • Partner with senior solution architects, engineering leaders, enterprise architecture leaders, platform delivery leaders, analytics executives, and business stakeholders to embed business information architecture into strategic data products.

• Partner with enterprise sales, pre-sales engineers, and delivery teams to define and design tailored service solutions (Professional and Managed Services) for large, complex customer environments • Lead the services discovery process, identifying customer objectives, technical requirements, and operational constraints • Architect comprehensive services proposals that include deployment, migration, integration, adoption, and lifecycle management components • Design Managed Services models that include monitoring, proactive maintenance, optimization, and ongoing technical management • Build detailed Statements of Work (SOWs), service definitions, and solution blueprints that align with customer expectations and internal delivery capabilities • Collaborate with Product Management and Operations to standardize and scale repeatable service offerings while maintaining flexibility for customization • Provide subject matter expertise during customer presentations, executive reviews, and proposal negotiations • Ensure service solutions are technically sound, financially viable, and operationally deliverable • Serve as a trusted advisor to enterprise customers, guiding them through service transformation and managed services adoption • Maintain a deep understanding of industry trends, frameworks (ITIL, ISO, etc.), and emerging technologies to ensure service innovation and competitive differentiation

• Architect end-to-end AWS-based solutions for Amazon Connect digital contact centers. • Build custom chat widgets and agent desktops using Lambda, API Gateway, and modern front-end frameworks. • Design event-driven, scalable cloud architectures following AWS Well-Architected principles. • Implement GenAI solutions using Amazon Bedrock, SageMaker, and third-party/open-source LLMs. • Integrate conversational intelligence into customer and agent workflows with AI/ML teams. • Configure and manage IAM, VPCs, CloudWatch monitoring, logging, and security controls. • Ensure compliance with enterprise security and governance standards. • Integrate Amazon Connect with third-party CRMs and enterprise systems. • Design streaming APIs, event-handling logic, and reporting APIs. • Lead cross-functional engineering, DevOps, and product teams to deliver complex solutions. • Align architectural strategy with business and customer experience goals.

• Join the Tracking & Integrations Engineering team within a global data-driven organization • Own the implementation and governance of the tracking architecture across websites and mobile applications • Ensure that user interactions are correctly captured, structured, and delivered to downstream analytics and data platforms for accurate reporting, experimentation, and marketing optimization