Lead Consultant - Data Architecture & Engineering

In this senior seller-doer role, you lead data, analytics, and AI engagements within GHD’s Americas advisory practice. You’ll shape opportunities, design and implement modern data platforms, and guide large transformation programs from strategy to delivery. You’ll work closely with executives to translate business aims into scalable data solutions while advancing our data-driven offerings. This role blends technical leadership with market-facing impact in a global, hybrid work environment.

• Hybrid work model (in-office 3 days/week)
• Career development and access to training and technology
• Opportunity to influence senior client engagements and strategic directions

• Originating, shaping, and closing data/analytics/AI opportunities across priority markets
• Building trusted advisory relationships with senior client stakeholders
• Leading proposal development, solution shaping, and commercial structuring for complex engagements
• Guiding enterprise data/AI roadmaps and reference architectures
• Leading large, multi-stakeholder data and digital transformation programs
• Mentoring multidisciplinary data teams and ensuring quality across engagements
• Staying current on trends and driving adoption of AI-enabled solutions in infrastructure and asset-intensive sectors
• Contributing to go-to-market strategy and internal thought leadership

• 10+ years of experience in data analytics, data engineering, and AI
• At least 5 years in a senior consulting or leadership role
• Proven seller-doer experience with business development and client leadership
• Strong track record defining and implementing enterprise data architectures and analytics platforms
• Experience with public and private sector multi-stakeholder engagements
• Ability to bridge business strategy and technical execution

• Executive-level communication and presentation
• Strong stakeholder management and facilitation
• Ability to lead teams and influence in matrixed environments
• Python
• SQL
• Cloud data platforms (Azure, Databricks, Snowflake)