• Support a wide range of Data & Analytics Transformation projects, spanning data strategy, analytics enablement, and technology integration. • Contribute knowledge and best practices related to critical business processes such as data governance and analytics modernization. • Provide insights into clients, sharing industry-leading practices and guiding them to optimal solutions. • Oversee project administration activities, encompassing project setup, planning, budgeting, account management, and billing, ensuring smooth project completion. • Proactively monitor industry trends and articulate their potential impact on clients. • Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards. • Stay informed about emerging AI tools and techniques and collaborating with firm leadership to identify compliant opportunities to enhance client solutions and internal processes. • Mentor team members through coaching, regular ongoing feedback, annual performance reviews, and actively supporting project teams in resolving complex issues. • Build and nurture strong client relationships, serving as a trusted advisor who understands their business needs, identifies opportunities for new business, and delivers high-quality service. • Play an active role in attracting, interviewing, hiring, and retaining top talent. • Design and implement system-to-system integrations using APIs, webhooks, batch interfaces, and event-driven patterns. • Build and support automations across enterprise SaaS platforms (e.g., Coupa, ERP, finance, HR, CRM systems). • Develop reliable integration workflows with error handling, retries, idempotency, and partial failure management. • Perform data mapping and transformation between systems with differing schemas and data models. • Troubleshoot and resolve integration issues across authentication, data, and platform configuration layers. • Collaborate with business, security, and platform teams to understand requirements and constraints. • Produce clear integration documentation and operational runbooks. • Support integrations in production, including monitoring and incident response.