Vice President, Applied Data & AI

CBTS

VP of Applied Data & AI leading the Applied Data & AI practice at CBTS. Focused on P&L ownership, business development, and executive client engagement for transformative business initiatives.

Posted 6/18/2026full-timeRemote • 🇺🇸 United StatesLead💰 $173,000 - $217,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Own the Applied AI & Data practice P&L, including bookings, revenue, margin, utilization, and bench cost targets.
Report on key practice health metrics, including utilization rates, at-risk bench resources, bookings-to-revenue conversion, and pipeline coverage, on a regular cadence to PS leadership.
Drive a qualified pipeline and predictable forecast in close partnership with Sales leadership, with active input into account planning.
Maintain visibility into the bench, take active steps to reduce bench cost, and build a workforce model that scales with the business.
Leverage a personal network to generate leads and open executive relationships, then work in close coordination with Sales to qualify, pursue, and close opportunities.
Be personally active in customer engagements, including participation in discovery, pursuit, and executive relationship development across target accounts.
Drive land-and-expand motions jointly with Sales, with accountability for revenue growth in named accounts and new logos.
Build and maintain executive relationships with economic buyers, positioning CBTS as a strategic partner rather than a transactional vendor.
In collaboration with the Product team, define and evolve the practice’s offer portfolio across data engineering, modernization, analytics, and applied AI, with clear scoping, pricing, and delivery models.
Establish reusable delivery patterns around medallion architecture, DataOps, LLMOps, and MCP-based agent infrastructure.

Requirements

What you’ll need

12+ years in technology consulting or professional services, with significant experience in data and AI and a track record of senior leadership.
Demonstrated P&L ownership and growth of a services practice, ideally from early stage through scale.
Deep fluency across modern cloud data and AI platforms, including Microsoft Fabric, Azure, AWS, Databricks, and Snowflake, and architectural patterns for production AI.
Proven ability to sell and deliver complex engagements to enterprise and midmarket clients, including C-suite engagement.
An active professional network that can be leveraged to generate pipeline and open doors at target accounts.
Strong commercial instincts across pricing, packaging, staffing, and margin management.
Comfort operating in an early-stage, resource-constrained environment where building the business is as important as running it.

Benefits

Comp & perks

Due to U.S. Government requirements applicable to foreign-owned telecommunications providers, non-US citizens may be required to submit to an extensive government agency background check which will necessitate disclosure of sensitive Personally Identifiable Information.

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Hard Skills & Tools

P&L ownershipdata engineeringmodernizationanalyticsapplied AIDataOpsLLMOpsmedallion architecturecloud data platformsarchitectural patterns for production AI

Soft Skills

leadershiprelationship developmentcommercial instinctsnetworkingsales engagementaccount planningcustomer engagementstrategic partnershipforecastingutilization management