Executive Leader, Data Engineering & AI Transformation

Slalom; Chicago (IL); On-site; USD 285,000 - 360,000; Full time

Job summary

Slalom is seeking a Managing Director of Data Engineering & AI to lead growth of the Data & AI practice in the United States. You will partner with CIOs, CDOs, and business leaders to shape strategy, build trusted client relationships, and deliver transformative data, analytics, and AI programs.

You will drive executive-level engagements, guide architecture and platform choices (Databricks, Snowflake, cloud-native data ecosystems), and lead cross-functional teams to deliver measurable outcomes.

Qualifications

• 15+ years leading data, analytics, AI, or cloud transformation initiatives.
• Proven success growing consulting businesses, practices, or strategic accounts.
• Experience influencing executive stakeholders and leading complex transformations.
• Ability to lead large pursuits, develop pipeline, and drive revenue growth.
• Track record of building and mentoring high-performing teams.
• Exceptional communication, storytelling, and relationship-building skills.

Responsibilities

• Grow the Data Engineering & AI practice by shaping strategy and offerings.
• Lead executive discovery sessions, workshops, and business-case development.
• Partner across capabilities to deliver transformation solutions with measurable value.
• Advise on enterprise data strategy, modernization, and AI adoption.
• Design and communicate enterprise data/AI architectures for executive audiences.
• Build and mentor high-performing teams of leaders, architects, and consultants.

Skills

Leadership

Consulting

Executive communication

Relationship-building

Tools

Databricks

Snowflake

dbt

Dataiku

Fivetran

Matillion

Job description

Slalom is seeking a Managing Director of Data Engineering & AI to lead growth of the Data & AI practice in the United States. You will partner with CIOs, CDOs, and business leaders to shape strategy, build trusted client relationships, and deliver transformative data, analytics, and AI programs.

You will drive executive-level engagements, guide architecture and platform choices (Databricks, Snowflake, cloud-native data ecosystems), and lead cross-functional teams to deliver measurable outcomes.