eightfold
Vice President - Data & AI
CBTS
Remote, USA
Full-time
Senior · 12+ years experience
Remote
USD 173000-217000 yearly / year
Discovered 2 weeks ago
Microsoft FabricAzureAzure AI FoundryAzure OpenAIAWS BedrockDatabricks
Free
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Microsoft FabricAzureAzure AI Foundry
Key Skills for This Role
Microsoft FabricAzureAzure AI FoundryAzure OpenAIAWS BedrockDatabricks
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- 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.
- 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.
- 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.
- Build, lead, and develop a multidisciplinary team of architects, data engineers, and AI specialists across North America and offshore delivery.
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