The Email Marketing Specialist will plan, write, build, and automate email campaigns while managing client relationships and strategy. They are responsible for executing multi-touch journeys, monitoring performance data, and optimizing campaigns to meet business goals.
The Business Analyst will gather and document business requirements while translating them into functional specifications and user stories. They will collaborate with cross-functional teams to analyze data and optimize business processes to drive informed decision-making.
Design and develop end-to-end cloud data pipelines while optimizing ETL processes for scalability and performance. Lead a team of data engineers by providing technical guidance and collaborating with stakeholders to deliver actionable insights.
Design, build, and deploy advanced AI solutions using LLMs, RAG, and agentic architectures to automate workflows and transform unstructured data. Collaborate with cross-functional teams to deliver high-impact, production-ready AI applications across cloud platforms.
The Database Administrator will assess and stabilize database operations for MySQL and Microsoft SQL Server environments. Responsibilities include performance tuning, verifying backup and recovery processes, and resolving complex database incidents.
Design and maintain analytical data structures and scalable ETL/ELT pipelines to produce reliable business metrics, detect unusual customer spending behavior, and automate business-rule-based triggers. Work with technical and business stakeholders and Data Science colleagues to validate requirements, build analytical features, ensure data quality, and document and evolve solutions through agile sprints.
Lead technical pre-sales and discovery sessions to demonstrate Claude Code and Claude Cowork capabilities to prospective clients. Design and deliver advanced technical enablement workshops for engineering teams while managing architectural and security-related inquiries.
Lead AI enablement programs by facilitating workshops, training sessions, and developing strategies to drive organizational adoption. Partner with technical teams and business stakeholders to translate AI capabilities into measurable business outcomes while navigating governance and compliance requirements.
Lead Agile ceremonies and coordinate delivery across AI and technology teams to ensure predictable, high-quality outcomes. Proactively identify and remove blockers while maintaining visibility into project status, risks, and dependencies for stakeholders.
Lead the end-to-end architecture and delivery of enterprise-grade Power Platform and Copilot Studio solutions for clients. Define governance frameworks, security standards, and integration patterns while facilitating discovery workshops and stakeholder communication.
Build and scale robust data solutions and high-performance pipelines for extraction, loading, and transformation. Collaborate with stakeholders to transform business use cases into production-ready services while ensuring data quality through rigorous testing.
The Client Engagement Manager owns the client relationship across a portfolio, acting as the link between Growth, Delivery, and Solutions. They are responsible for driving account expansion, managing executive relationships, and ensuring delivery health and business impact.
Design and implement cloud-based data architecture solutions to optimize storage, retrieval, and processing for clients. Collaborate with cross-functional teams to translate business requirements into effective data strategies and mentor junior team members.
Design and implement scalable AI-driven applications on the Azure platform using a full-stack approach. Collaborate with cross-functional teams to integrate AI frameworks and optimize cloud-native deployments for performance and cost.
Define the product vision, strategy, and roadmap while owning the end-to-end product lifecycle from discovery to delivery. Collaborate with cross-functional teams to build scalable products and analyze performance metrics for continuous improvement.