Chief Data & AI Transformation Leader

Slalom; Houston (TX); On-site; USD 285,000 - 360,000; Full time

Benefits offered by this job

401(k) match

Medical, dental and vision coverage

Paid holidays

Job summary

Slalom is seeking a Managing Director, Data Engineering & AI to lead growth of the Data Engineering & AI practice, partnering with CIOs, CTOs, and business leaders to accelerate data modernization and AI adoption.

This role blends business development, executive consulting, and technology leadership. You will grow strategic accounts, build high-performing teams, and guide enterprise data platform, cloud analytics, and AI initiatives from strategy through implementation.

Qualifications

• 15+ years of experience 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 business and technology 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 and expand executive relationships with CIOs, CTOs, CDOs, CAIOs, and business leaders; Drive revenue growth through strategic account development, pipeline creation, and complex pursuits; Lead executive discovery sessions, solution workshops, and business case development; Partner across Slalom capabilities to shape integrated transformation solutions that deliver measurable business value; Develop and evolve go-to-market offerings that strengthen Slalom's position in Data Engineering & AI.
• Lead Data & AI Transformation: Advise clients on enterprise data strategy, data modernization, analytics, and AI adoption; Help organizations build data foundations for ML, generative AI, and intelligent automation; Guide AI readiness, governance, operating models, and enterprise-scale implementation; Connect business priorities to technology investments, architecture decisions, and transformation roadmaps; Serve as trusted advisor on responsible AI, risk management, and value realization.
• Provide Technical Leadership: Design and communicate enterprise data and AI architectures to exec and technical audiences; Facilitate architecture workshops and whiteboard sessions; Lead solution strategy for modern data platforms; Advise on cloud-native architectures across AWS, Azure, and Google Cloud; Ensure scalable, secure, governed solutions aligned to business objectives.
• Build Modern Data & AI Solutions: Shape solutions leveraging Databricks, Snowflake, dbt, Dataiku, Fivetran, Matillion and related platforms; Guide lakehouse adoption, data governance, metadata management, and modern engineering; Lead conversations around generative AI, LLMs, RAG, and AI-enabled processes; Partner with delivery teams to ensure architectural integrity.
• Develop Talent & Practice Capability: Build, mentor, and inspire high-performing teams of leaders, architects, engineers, and consultants; Coach on consulting excellence, solution selling, and executive communication; Establish standards, frameworks, and reusable assets; Foster an inclusive, growth-focused culture.
• Elevate Slalom in the Market: Represent Slalom as a thought leader in data engineering, cloud platforms, analytics, and AI; Speak at conferences and partner events; Contribute to market-facing thought leadership and partnerships; Strengthen relationships with Databricks, Snowflake, Microsoft, AWS, Google Cloud.

Skills

Leadership

Executive engagement

Data engineering

AI expertise

Cloud data platforms

Tools

Databricks

Snowflake

dbt

Dataiku

Fivetran

Matillion

AWS

Azure

GCP

Job description

Slalom is seeking a Managing Director, Data Engineering & AI to lead growth of the Data Engineering & AI practice, partnering with CIOs, CTOs, and business leaders to accelerate data modernization and AI adoption.

This role blends business development, executive consulting, and technology leadership. You will grow strategic accounts, build high-performing teams, and guide enterprise data platform, cloud analytics, and AI initiatives from strategy through implementation.