Role: Senior Director – AI & Data Competency Lead (Client Engagement & Presales)
Role Overview: Techwave is seeking a Senior Director – AI & Data Competency Lead to drive strategic growth across our North America Consulting Practice. This role is a senior, client-facing leadership position responsible for shaping AI and Data-driven transformation opportunities, influencing revenue growth, and establishing Techwave as a trusted advisor in the market.
This individual will lead high-impact client engagements, presales pursuits, discovery workshops, and solution blueprinting, while also contributing to the scale and maturity of the AI & Data practice.
The ideal candidate brings a strong blend of executive presence, deep AI/Data expertise, business acumen, and a go-getter mindset to independently drive outcomes and unlock new opportunities.
Key Responsibilities
1. Executive Client Engagement & Thought Leadership
- Serve as a trusted advisor to C-level and senior business stakeholders
- Lead executive workshops, strategy sessions, and transformation discussions
- Establish Techwave’s presence as a thought leader in AI (GenAI, Agentic AI) and Data platforms
- Drive business outcome-led narratives, connecting AI/Data investments to measurable value
2. Presales Leadership & Revenue Influence
- Own and influence AI/Data pipeline growth across strategic accounts
- Partner with sales leadership to shape, position, and win high-value deals
- Lead end-to-end solutioning including architecture, value proposition, and differentiation
- Develop executive-level proposals, POVs, demos, and POCs that accelerate deal closure
3. Discovery, Assessments & Advisory
- Lead enterprise discovery engagements, maturity assessments, and diagnostics
- Evaluate client capabilities across data, AI, governance, and operating models
- Define transformation roadmaps and investment priorities
- Deliver boardroom-ready recommendations and strategic insights
4. Solution Blueprinting & Transformation Design
- Own end-to-end solution blueprinting for AI and Data initiatives:
- Modern data platforms (Lakehouse, Data Fabric, cloud-native architectures)
- AI/ML and GenAI use case identification and design
- Operating models including MLOps, DataOps, and governance frameworks
- Ensure solutions are scalable, commercially viable, and aligned to client strategy
- Drive seamless transition from presales to delivery execution
5. Practice Leadership & Capability Building
- Play a key role in building and scaling the AI & Data competency
- Develop offerings, accelerators, and go-to-market strategies
- Mentor and guide teams, fostering technical and consulting excellence
- Bring market insights and innovation into the organization to stay ahead of competition
Required Experience & Qualifications
- 15+ years of experience in Data, Analytics, and AI, with strong emphasis on consulting and client engagement
- Proven success in influencing and closing complex deals in AI/Data space
- Deep expertise in:
- Modern data platforms (Azure, Databricks, Snowflake, cloud ecosystems)
- AI/ML lifecycle including GenAI and emerging AI paradigms
- Strong experience in solution architecture, presales, and large-scale transformation programs
- Demonstrated ability to lead discovery workshops and enterprise assessments
- Excellent communication and storytelling skills with executive presence
Leadership Profile
- Revenue-oriented leader with strong ownership mindset
- A go-getter who thrives in ambiguity and drives outcomes proactively
- Ability to operate as a player-coach, balancing strategy and hands-on execution
- Strong collaborator across sales, delivery, and leadership teams
- High energy, entrepreneurial, and outcome-driven
Preferred Qualifications
- Experience in industry verticals such as Financial Services, Utilities, Retail/CPG, or Distribution
- Exposure to platform-led transformations and ecosystem integrations
- Certifications in Azure, Databricks, or AI/ML frameworks
- Experience working in global delivery models
What Success Looks Like (First 12 Months)
- Builds a strong AI/Data pipeline and improves win rates in strategic deals
- Establishes executive-level relationships across key accounts
- Drives high-quality discovery and blueprinting engagements
- Contributes to practice growth through offerings, assets, and thought leadership