Top Tech Jobs & Startup Jobs

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

Lead and expand high-value relationships within enterprise accounts, build a sustainable services pipeline, coordinate delivery and proposals with technical teams, manage multiple initiatives, and drive revenue growth aligned with firm GTM strategy.

Lead client-facing data and analytics projects across Data Analytics, Data Engineering, Decision Sciences, and Analytics Strategy. Own project planning, delivery, governance, risk management, stakeholder engagement, and executive reporting. Support data migrations, platform modernizations, AI/ML project delivery, analytics discovery, dashboard development, and change management to drive business value.

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 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.

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.

Design, build, deploy, and scale production AI applications and agents. Translate business problems into scalable AI solutions, develop backend services and APIs, integrate with enterprise data platforms, ensure observability, governance, and MLOps, and collaborate with cross-functional client teams.

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.