Jobs at Aimpoint Digital

As a Forward Deployed AI Engineer, you will design, build, and deploy AI solutions for enterprise clients using Claude, while ensuring governance and operational success.

Lead and coordinate complex client projects across Data Analytics, Data Engineering, and Decision Sciences. Drive programs, manage risks, and ensure stakeholder engagement.

As a Lead Analytics Consultant, you will deliver data analytics projects, lead consulting teams, engage with stakeholders, identify business opportunities, and support internal initiatives.

As a Lead Analytics Consultant, you will deliver data analytics projects, lead consulting teams, ensure project alignment, identify business opportunities, and support internal initiatives.

Design and develop analytical solutions including cloud data warehouses and data pipelines. Collaborate with clients to solve data engineering problems across various industries.

Lead and scale Aimpoint Digital's commercial partnership with Anthropic by building GTM strategy, driving pipeline, coordinating account pursuits, enabling sellers, creating reusable assets and operating rhythms, and converting Anthropic collaboration into measurable revenue and client impact.

Lead Databricks-focused architecture and delivery for AI, ML, and data engineering engagements. Provide technical leadership, create thought-leadership content, support sales and partnership growth, build demos and deploy Aimpoint products on Databricks, and mentor internal consultants.

The AI Strategy Manager leads client engagements in AI strategy, assesses AI maturity, defines use cases, and develops AI roadmaps and business cases.

The Lead Forward Deployed Engineer will work with clients to design, build, and operationalize AI and data solutions on Databricks, focusing on transforming business needs into technical implementations.

Lead and deliver data and analytics consulting engagements as the primary client-facing project lead. Manage planning, governance, risk, scope, timelines, resources, budgets, and stakeholder communications across data engineering, analytics, and decision science projects. Support PMO best practices, change management, and cross-practice coordination.

As a Senior Data Engineer, you will design AI-optimized data platforms, build data pipelines, and collaborate on analytics projects, while advising clients on data architecture.

As a Senior Analytics Engineer, you'll design and develop analytical solutions, manage stakeholder relationships, and write code to support data pipelines and analytics applications.

The Internal Reporting Analyst will manage the internal data stack, develop data models, optimize data workflows, and create dashboards. Responsibilities include collaborating with stakeholders, ensuring data quality, and automating processes.

Lead client engagements to define objectives and deliver end-to-end decision science solutions using optimization, simulation, ML, and statistical modeling. Provide technical leadership, execute project plans, develop models, deploy solutions, and upskill clients and teammates.

Lead analytics and AI strategy engagements, serve as a trusted advisor, guide strategy development, and enhance team capabilities.