Vice President, Applied Data & AI
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Job Description
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.
Responsibilities:
- 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:
- 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:
- 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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