Chief Data & AI Transformation Leader

Slalom; Atlanta (GA); Remote; USD 285,000 - 360,000; Full time

Benefits offered by this job

401(k) match

Paid holidays

Parental leave

Medical, dental, vision coverage

Disability coverage

Well-being reimbursement account

Job summary

Slalom is seeking a Managing Director of Data Engineering & AI to lead growth in its Data & AI practice, guiding clients through data modernization and AI adoption. You will partner with CIOs, CTOs, and business leaders to shape strategy, build high-performing teams, and deliver measurable outcomes across modern data platforms and cloud ecosystems.

The role blends business development, executive consulting, technical leadership, and people leadership, with a focus on enterprise data strategy,

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.
• Grow revenue 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 the data foundations required to enable machine learning, generative AI, and intelligent automation.
• Guide clients through AI readiness, governance, operating models, and enterprise-scale implementation.
• Connect business priorities to technology investments, architecture decisions, and transformation roadmaps.
• Serve as a trusted advisor on responsible AI, risk management, and value realization.
• Provide Technical Leadership: Design and communicate enterprise data and AI architectures with executive and technical audiences.
• Facilitate architecture workshops and whiteboard sessions with client stakeholders and engineering teams.
• Lead solution strategy for modern data platforms spanning ingestion, transformation, governance, analytics, ML, and AI.
• Advise clients on cloud-native architectures across AWS, Azure, and Google Cloud.
• Ensure solutions are scalable, secure, governed, and aligned to business objectives.
• Build Modern Data & AI Solutions: Shape solutions leveraging Databricks, Snowflake, dbt, Dataiku, Fivetran, Matillion and related platforms.
• Guide enterprise adoption of lakehouse architectures, data products, data governance, metadata management, and modern engineering practices.
• Lead conversations around generative AI, LLMs, agentic AI, RAG, and AI-enabled business processes.
• Partner with delivery teams to ensure architectural integrity from strategy through implementation.
• Develop Talent & Practice Capability: Build, mentor, and inspire high-performing teams of leaders, architects, engineers, and consultants.
• Coach teams on consulting excellence, technical leadership, solution selling, and executive communication.
• Establish standards, frameworks, and reusable assets that improve consistency and delivery quality.
• Foster an inclusive, collaborative culture focused on growth, innovation, and continuous learning.
• Elevate Slalom in the Market: Represent Slalom as a thought leader in data engineering, cloud platforms, analytics, and AI.
• Speak at conferences, executive forums, industry events, and partner programs.
• Contribute to market-facing thought leadership, client offerings, and strategic partnerships.
• Strengthen relationships across ecosystem partners including Databricks, Snowflake, Microsoft, AWS, Google Cloud, and leading AI platform providers.

Skills

Leadership & Consulting

Data Engineering & AI

Executive stakeholder management

Cloud transformation

Tools

Databricks

Snowflake

dbt

Dataiku

Fivetran

Matillion

Job description

Slalom is seeking a Managing Director of Data Engineering & AI to lead growth in its Data & AI practice, guiding clients through data modernization and AI adoption. You will partner with CIOs, CTOs, and business leaders to shape strategy, build high-performing teams, and deliver measurable outcomes across modern data platforms and cloud ecosystems.

The role blends business development, executive consulting, technical leadership, and people leadership, with a focus on enterprise data strategy,