Vice President, Applied Data & AI

CBTS serves enterprise and midmarket clients in all industries across the United States and Canada. CBTS combines deep technical expertise with a full suite of flexible technology solutions--including Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, CBTS delivers comprehensive technology solutions for its clients' transformative business initiatives. For more information, please visit www.cbts.com.Role Summary: The VP of Applied AI & Data leads CBTS’s Applied AI & Data practice, one of four core Professional Services practice areas. This leader owns the full practice P&L, including revenue, delivery, utilization, and bench health, and carries shared accountability for go-to-market in close coordination with Sales and Product. This person is expected to be personally active in the field, bringing their network to bear to open doors and help land and expand accounts in close partnership with Sales. The role spans practice strategy, delivery excellence, offer development, and senior client-facing engagement on the practice’s most strategic pursuits. This is a builder’s role. CBTS recently launched its Data Analytics Services suite and is actively expanding its applied AI portfolio, including custom agents, AI adoption and enablement, and governed data foundations for AI. The VP will shape what this practice becomes over the next several years, operating with a scrappy, ownership mindset while building strong relationships across Sales, Finance, Product, and the broader PS organization.Key Responsibilities:Practice P&L and Operational MetricsOwn 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.Business Development and Customer Engagement: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.Go-to-Market and Offer Strategy: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.Build outcome-based and value-based pricing frameworks where appropriate, moving beyond pure time-and-materials.Develop intellectual property, reference architectures, and accelerators that differentiate CBTS and shorten time to value for clients.Position the practice’s AI plays, including agentic IT operations, governance, model implementation, and security for AI, in coordination with the broader CBTS portfolio.Delivery Excellence:Stand up and enforce delivery standards, estimation models, and quality controls across engagements spanning Microsoft Fabric, Azure AI Foundry, Azure OpenAI, AWS Bedrock, Databricks, and Snowflake.Establish reusable delivery patterns around medallion architecture, DataOps, LLMOps, and MCP-based agent infrastructure.Govern engagement health, profitability, and client satisfaction across the active portfolio.Organization, Talent, and Offshore Delivery:Build, lead, and develop a multidisciplinary team of architects, data engineers, and AI specialists across North America and offshore delivery.Lead the offshore delivery team, which will operate in a dotted-line reporting structure. The VP is expected to fully embrace this model, treating the offshore team as a core delivery asset and managing it with the same rigor as onshore resources.Define the workforce and cost model, including fully loaded consultant economics and offshore leverage ratios, to support scalable, profitable growth.Create career paths, skills development, and internal enablement so the practice keeps pace with a fast-moving AI landscape.Cross-Functional Collaboration and Leadership Engagement:Build strong working relationships across Sales, Product, Finance, and other PS practices to align the practice with company priorities and