Director /AVP/Head of Data Consulting

Role Overview

We are looking for a Head of Data Consulting to grow our Data consulting and engineering business.

This is primarily a client-facing pre-sales and business development role (70–80%), with executive advisory and consulting responsibilities (20–30%).

The ideal candidate combines strong commercial instincts and executive presence with enough modern Data architecture depth to credibly advise CIOs/CDOs and shape solutions with Tavant’s architects and engineering teams.

This is not a delivery management role and not a hands-on engineering position.

Key Responsibilities

Data Pre-Sales & Growth

• Partner with Account Executives and the AI & Analytics pre-sales team to identify, shape, and win Data opportunities across existing and new customers.
• Position Tavant’s Data modernization, platform, and AI-led Data Engineering offerings.
• Lead discovery, solution shaping, proposals, and executive presentations.
• Position and demonstrate Tavant’s Data Engineering and agentic AI accelerators in client conversations.
• Provide field input to the Data CoE to help evolve accelerators and offerings.
• Strengthen relationships with Databricks, Snowflake, Microsoft, AWS, and Google Cloud to expand joint GTM opportunities.

Executive Data Advisory

• Act as a trusted advisor to CIOs, CDOs, and senior Data leaders.
• Lead Data strategy, modernization, platform-selection, and AI-readiness assessments.
• Facilitate executive workshops and help customers make technology and architecture decisions.
• Develop technology blueprints, target-state architectures, and modernization roadmaps before transitioning implementation to Tavant’s engineering teams.

What We Are Looking For

• Strong, current experience with modern Data Engineering and Data platforms, including Databricks, Snowflake, Microsoft Fabric, AWS, Azure, and/or Google Cloud Platform.
• Strong understanding of modern Data architectures, Data pipelines, Data products, governance, and cloud modernization.
• A current point of view on how AI and agentic applications are changing Data architecture and the Data Engineering SDLC.
• Proven experience creating and shaping Data consulting opportunities with enterprise customers.
• Experience leading discovery, assessments, workshops, proposals, and executive presentations.
• Strong executive presence and the ability to communicate complex Data and AI concepts clearly and concisely.
• Consulting, professional services, systems integration, or technology-services background strongly preferred.

What Success Looks Like

• Grow qualified Data pipeline and revenue.
• Create new CIO/CDO-level conversations and opportunities.
• Convert Data challenges into consulting and engineering engagements.
• Strengthen Tavant’s position as a strategic advisor on modern Data platforms and AI-ready Data architecture.
• Build repeatable offerings that lead to larger Data Engineering programs.