Vice President, Applied Data & AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the Applied AI & Data practice's P&L, which encompasses bookings, revenue, margin, utilization, and bench cost objectives.

• Regularly report on critical practice health metrics, such as utilization rates, at-risk bench resources, bookings-to-revenue conversion, and pipeline coverage, to PS leadership.

• Collaborate closely with Sales leadership to cultivate a robust pipeline and reliable forecasts, providing active input into account planning.

• Maintain clear visibility into the bench, proactively implement strategies to minimize bench costs, and develop a scalable workforce model aligned with business growth.

• Utilize a personal network to generate leads and establish executive relationships, working in tandem with Sales to qualify, pursue, and finalize opportunities.

• Engage actively with customers through participation in discovery, pursuit, and the development of executive relationships across targeted accounts.

• Jointly drive land-and-expand initiatives with Sales, taking responsibility for revenue growth within named accounts and new logos.

• Cultivate and sustain executive relationships with economic decision-makers, positioning CBTS as a strategic partner rather than a mere transactional vendor.

• Collaborate with the Product team to define and refine the practice’s offering portfolio encompassing data engineering, modernization, analytics, and applied AI, ensuring clear scoping, pricing, and delivery models.

• Establish reusable delivery frameworks around medallion architecture, DataOps, LLMOps, and MCP-based agent infrastructure.

⛳️ Requirements

• 12+ years of experience in technology consulting or professional services, with considerable expertise in data and AI, alongside a proven record in senior leadership roles.

• Demonstrated ownership of P&L and growth within a services practice, ideally from inception through scaling phases.

• Profound understanding of modern cloud data and AI platforms, including Microsoft Fabric, Azure, AWS, Databricks, and Snowflake, as well as architectural patterns for production AI.

• Proven success in selling and delivering complex projects to enterprise and midmarket clients, including direct engagement with C-suite executives.

• An active professional network that can be leveraged to develop pipeline opportunities and facilitate access to target accounts.

• Strong commercial acumen in areas such as pricing, packaging, staffing, and margin management.

• Ability to thrive in an early-stage, resource-limited environment where business development is as crucial as operational management.

🏝️ Benefits

• Due to U.S. Government requirements affecting foreign-owned telecommunications providers, non-U.S. citizens may need to undergo an extensive government agency background check, which will require the disclosure of sensitive Personally Identifiable Information.