Field CTO: Data & AI Transformation Leader

Aimpoint Digital

Sandy Springs (GA)

Remote

USD 250,000 - 340,000

Full time

2 days ago

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Job summary

Aimpoint Digital is seeking a Field CTO to shape and win complex data and AI consulting engagements for Fortune 500 clients. You will own the technical portion of the sales cycle end-to-end, from discovery to delivery handoff, and serve as the senior technical voice with executive clients.

You will partner with sales, alliance, and delivery teams to design credible, executable solutions across Databricks, Snowflake, Anthropic, AWS/Azure/GCP, and BI tools, while guiding multi-phase engagements.

Qualifications

10+ years of experience in data engineering, platform engineering, solution architecture, technical consulting, or related roles.
Significant experience in consulting, professional services, systems integration, or technical pre-sales.
Experience owning the technical workstream of complex enterprise sales cycles, ideally with Fortune 500 clients.
Strong architecture and implementation experience on Databricks and Snowflake in enterprise environments, with working knowledge of Anthropic's platform for AI and agentic use cases.
Deep knowledge of modern data engineering, including Spark, SQL, Python, data pipelines, orchestration, data modeling, and distributed processing.
Strong understanding of lakehouse and warehouse architecture, medallion patterns, Unity Catalog, Delta Lake, governance, and security.
Experience with data platform or warehouse migrations.
Understanding of semantic layers, analytics architectures, BI tools such as Sigma and Omni, and how enterprise data platforms support AI and ML workloads.
Working knowledge of Azure, AWS, and GCP, including platform deployment and infrastructure.
Experience designing custom applications and bidirectional integrations with SaaS platforms.
Expert-level experience leading client discovery, architecture workshops, solution design, demos, estimation, and SOW scoping, including outcome-based and multi-phase projects.
Experience defining roadmaps for strategic transformation programs at large enterprises, ideally Fortune 500 clients.
Exceptional communication skills across engineers, architects, data leaders, and the C-suite, including the ability to make a recommendation and defend it under challenge.
Willingness to travel roughly once every one to two months for client meetings, workshops, and events.
Certifications in Databricks, Snowflake, or the major cloud providers preferred.

Responsibilities

Own the technical portion of pursuits from first client conversation through signed engagement and transition to delivery.
Lead technical discovery with client engineering, architecture, data, analytics, AI leaders, and C-suite stakeholders.
Define roadmaps for strategic transformation opportunities across Fortune 500 clients, and make and defend recommendations to executive leadership.
Design architectures for new platforms, migrations, modernization programs, and complex data workloads on Databricks, Snowflake, and Anthropic, and on Sigma, Omni, and other BI tools, across and including Azure, AWS, and GCP.
Define lakehouse, warehouse, and medallion architectures across bronze, silver, gold, and downstream consumption layers.
Solution data ingestion, transformation, orchestration, governance, security, platform deployment, infrastructure, and semantic layer patterns.
Design data foundations that support BI, self-service analytics, ML, GenAI, RAG, and agentic AI use cases.
Design the human interfaces on top of the platform, including BI tools, custom applications, and bidirectional integrations with SaaS platforms.
Define AI Governance implementation approaches covering people, process, security and tools to support them.
Translate technical requirements into project scope, delivery phases, assumptions, risks, resource plans, and estimates, including outcome-based and multi-phase engagements.
Partner with sales and delivery leaders to develop proposals and statements of work.
Build and deliver technical demos, proofs of concept, architecture workshops, and solution presentations that help clients understand and validate the proposed approach.
Create reusable pre-sales materials, including demo environments, reference architectures, discovery frameworks, solution patterns, technical content, and estimation models.
Work directly with Databricks, Snowflake, Anthropic, and other partner account teams and solution architects on joint pursuits and co-sell opportunities.
Ensure clean handoffs from pre-sales into delivery so project teams inherit clear architecture, scope, assumptions, and client context.
Represent Aimpoint externally through client briefings, events, and published points of view on data and AI architecture.
Bring what you learn in the field back to our sales, consulting, and alliance teams to sharpen our offerings and help the wider team sell and deliver.