Jobs at Aimpoint Digital

Lead end-to-end decision science engagements for Federal clients using mathematical optimization, simulation, machine learning, statistical modeling, and analytics. Design, develop, deploy, and maintain production models; build agentic workflows; write Python; mentor junior scientists; manage projects; communicate complex findings to stakeholders; support proposals and business development; and contribute to internal practice development.

Deliver analytics consulting projects involving process automation, data visualization, statistical analysis, and analytical tool development. Partner with stakeholders to identify business value, build minimum viable products and production applications, and train business users. Use tools such as Dataiku, Alteryx, Tableau, Power BI, Sigma, SQL, Python, cloud platforms, and modern databases while managing projects independently.

Own and grow a new-logo services pipeline through Aimpoint Digital’s Databricks partnership. Responsibilities include lead sourcing, enterprise deal management, select account management, executive relationship development, quota attainment, partner collaboration, proposal development, and articulating data, analytics, and AI service offerings. The role requires entrepreneurial initiative, strategic thinking, teamwork, and approximately 25% travel.

Own the full sales cycle for Snowflake-related consulting and professional services engagements, from pipeline generation and lead sourcing through deal closure and selected account management. Build executive relationships, collaborate with Snowflake partner teams and technical experts, develop proposals, and articulate Aimpoint Digital’s value proposition. The role requires enterprise consulting sales experience, quota achievement, data and AI acumen, entrepreneurial initiative, and approximately 25% travel. It is a hybrid position based in New York, Boston, Chicago, or Atlanta.

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.

Own the technical sales cycle for Databricks consulting engagements, including discovery, architecture design, solution scoping, estimation, proposals, demos, proofs of concept, workshops, and statements of work. Design lakehouse, data engineering, analytics, governance, security, and AI architectures. Partner with sales, Databricks, alliance, and delivery teams while ensuring effective handoffs into implementation.

Lead client engagements that identify, prioritize, and operationalize high-value AI opportunities. Responsibilities include process and value-stream mapping, stakeholder workshops, business-case and ROI development, AI platform evaluation, strategy and roadmap creation, KPI definition, senior-stakeholder advising, proposal support, and mentoring. The role bridges business and technology to guide AI investments, workflow improvements, automation, and organizational capability development.

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

Lead strategy and operations for enterprise AI platforms, administer ChatGPT/Claude environments, define governance, manage licensing/costs, support client deployments, build reusable playbooks, and enable teams on secure, scalable AI operations.

Design and implement AI-optimized data platforms and production ETL/ELT pipelines, build semantic and analytical layers, write production-ready SQL/Python code, collaborate with stakeholders and analytics teams, and contribute to the firms data engineering practice and client delivery.

Lead and deliver AI-optimized data engineering solutions: design cloud data platforms, build ELT/ETL pipelines, implement semantic/analytic layers, write production SQL/Python/Spark code, apply AI-assisted tooling, and lead small teams on client engagements.

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.

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 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.

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, ensure project alignment, identify business opportunities, and support internal initiatives.