Data And AI Practice Lead

Compunnel, Inc.; Princeton (NJ); Hybrid; USD 150,000 - 180,000; Full time

Job summary

A leading technology firm is seeking a Data and AI Practice Lead to drive the end-to-end practice, develop market-ready offerings, and build a strong team. The successful candidate will need extensive experience in data, analytics, or AI, along with proven leadership in practice or portfolio management. This hybrid role involves defining solutions, leading cross-sell initiatives, and ensuring delivery quality and profitability, making it crucial for applicants to have a strong market strategy background and deep technical expertise.

Qualifications

• 12–18 years of experience in data, analytics, or AI.
• Strong capability in solutioning and estimation.
• Deep expertise in data platforms and engineering.

Responsibilities

• Define signature solutions and go-to-market offerings.
• Lead proactive cross-sell initiatives and account engagement.
• Oversee delivery quality and profitability.

Skills

Data analytics expertise

Solution development

Team leadership

Market strategy

Job description

The Data and AI Practice Lead is responsible for driving the end-to-end Data and AI practice, developing market-ready offerings, enabling cross-sell opportunities, shaping and winning key pursuits, and overseeing a profitable and scalable delivery model.

This role requires a combination of strategic practice-building and operational leadership, with accountability across go-to-market strategy, solution development, and execution excellence, This role is hybrid.

Key Responsibilities

• Create and take offerings to market by defining signature solutions, reference architectures, pricing guardrails, and playbooks.
• Lead proactive go-to-market initiatives and cross-sell efforts, including account engagement, industry narratives, workshops, POVs, and pursuit solutioning.
• Oversee delivery quality and profitability, ensuring margin protection, estimation accuracy, utilization health, and strong delivery governance.
• Develop reusable intellectual property such as accelerators, templates, and demo kits to increase win rates and delivery efficiency.
• Build and grow a strong team and foster collaboration within the partner ecosystem, supporting co-sell motions and enablement activities.

Required Qualifications

• 12–18+ years of experience in data, analytics, or AI within services or product engineering, including 5+ years in practice or portfolio leadership.
• Strong capability in solutioning and estimation, with the ability to lead C-level discovery sessions and shape complex deals.
• Deep expertise in at least two to three areas such as data platforms, data engineering, analytics, AI/GenAI, MLOps/LLMOps, or data governance.
• Experience across data platforms and engineering, analytics and decision intelligence, applied AI/GenAI solutions, and data governance including quality, lineage, privacy, and security-by-design.

Preferred Qualifications

• Demonstrated experience building market offerings and scaling IP or accelerators.
• Experience driving cross-sell penetration and pipeline growth within priority accounts.
• Track record of improving delivery efficiency, profitability, and customer satisfaction.