Executive Leader, Data Engineering & AI Transformation

Slalom

Detroit (MI)

On-site

USD 285,000 - 360,000

Full time

3 days ago
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Benefits offered by this job

401(k) match
Medical, dental and vision coverage
Paid holidays
Well-being reimbursement account
Disability coverage

Job summary

Slalom is seeking a Managing Director of Data Engineering & AI to lead growth in the Data & AI practice, partnering with executives and alliance partners to shape strategy and deliver measurable outcomes.

You will blend business development, executive consulting, and technical leadership to build trusted client relationships, grow strategic accounts, and develop high-performing teams across modern data platforms and AI initiatives.

Qualifications

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

Responsibilities

  • Grow the Business: Build executive relationships with CIOs, CTOs, CDOs, CAIOs and leaders; drive revenue through strategic account development; lead discovery sessions and workshops; shape integrated transformation solutions.

Skills

Leadership
Executive influence
Consulting growth
Revenue growth
Strategic communication
Team mentoring

Tools

Databricks
Snowflake
AWS
Azure
Google Cloud

Job description

Slalom is seeking a Managing Director of Data Engineering & AI to lead growth in the Data & AI practice, partnering with executives and alliance partners to shape strategy and deliver measurable outcomes.

You will blend business development, executive consulting, and technical leadership to build trusted client relationships, grow strategic accounts, and develop high-performing teams across modern data platforms and AI initiatives.

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