Managing Director, Data Engineering & AI Transformation

Slalom; New York (NY); On-site; USD 285,000 - 360,000; Full time

Benefits offered by this job

401(k) match

Parental leave

Job summary

Slalom is seeking a Managing Director of Data Engineering & AI to lead growth in our Data & AI practice, guiding data strategy, modernization, and AI adoption for clients. You will partner with CIOs, CTOs, and executives to shape transformation roadmaps and deliver measurable outcomes.

You will oversee enterprise data platforms, governance, and AI readiness, while building high-performing teams and advancing market offerings across Databricks, Snowflake, and cloud ecosystems.

Qualifications

• 15+ years leading data, analytics, AI, or cloud transformations.
• Proven success growing consulting businesses, practices, or strategic accounts.
• Experience influencing executive stakeholders and leading large-scale transformations.
• Track record of building, mentoring high-performing teams.
• Excellent communication, storytelling, and relationship-building skills.

Responsibilities

• Grow revenue through executive relationships, strategic accounts, and complex pursuits.
• Lead data & AI transformation with governance, roadmaps, and implementation.
• Provide technical leadership across data architectures, integration, and cloud platforms.
• Shape modern data & AI solutions using lakehouse architectures and related tools.
• Develop talent, standards, and reusable assets for delivery quality.
• Elevate Slalom through thought leadership, partnerships, and market presence.

Skills

Executive leadership

Business development

Strategic account growth

Pipeline development

Stakeholder influence

Tools

Databricks

Snowflake

AWS

Azure

GCP

Job description

Slalom is seeking a Managing Director of Data Engineering & AI to lead growth in our Data & AI practice, guiding data strategy, modernization, and AI adoption for clients. You will partner with CIOs, CTOs, and executives to shape transformation roadmaps and deliver measurable outcomes.

You will oversee enterprise data platforms, governance, and AI readiness, while building high-performing teams and advancing market offerings across Databricks, Snowflake, and cloud ecosystems.