Managing Director, Data Engineering & AI
Slalom
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Benefits offered by this job
Job summary
Slalom seeks a Managing Director of Data Engineering & AI to lead growth in data foundations, analytics, and AI adoption. You will partner with CIOs and executives to shape strategy, drive revenue, and build high-performing teams across modern data platforms and AI capabilities.
You will guide enterprise data strategy, governance, and architecture, overseeing engagements from discovery to implementation across AWS, Azure, and Google Cloud. Slalom emphasizes responsible AI and measurable outcomes.
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 the Business: Drive revenue growth through strategic account development, pipeline creation, and complex pursuits.
- Grow the Business: Lead executive discovery sessions, solution workshops, and business case development.
- Grow the Business: Partner across Slalom capabilities to shape integrated transformation solutions that deliver measurable business value.
- Grow the Business: 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.
- Lead Data & AI Transformation: Help organizations build data foundations for ML, generative AI, and intelligent automation.
- Lead Data & AI Transformation: Guide clients through AI readiness, governance, operating models, and enterprise-scale implementation.
- Lead Data & AI Transformation: Connect business priorities to technology investments, architecture decisions, and transformation roadmaps.
- Lead Data & AI Transformation: Serve as a trusted advisor on responsible AI, risk management, and value realization.
- Provide Technical Leadership: Design and communicate enterprise data and AI architectures for executives and engineers.
- Provide Technical Leadership: Facilitate architecture workshops and whiteboard sessions with client stakeholders and engineering teams.
- Provide Technical Leadership: Lead solution strategy for modern data platforms (ingestion, transformation, governance, analytics, ML, AI).
- Provide Technical Leadership: Advise on cloud-native architectures across AWS, Azure, and Google Cloud.
- Provide Technical Leadership: 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.
- Build Modern Data & AI Solutions: Guide lakehouse architectures, data products, governance, and metadata management.
- Build Modern Data & AI Solutions: Lead conversations around generative AI, LLMs, agentic AI, RAG, and AI-enabled processes.
- Build Modern Data & AI Solutions: Partner with delivery teams to ensure architectural integrity.
Skills
Tools
Job description
As a Managing Director in Slalom's Data & AI practice, you will lead the growthof our Data Engineering & AI business by helping clients modernize their datafoundations and accelerate AI adoption. You will partner with executivestakeholders, technology leaders, alliance partners, and Slalom teams to shapestrategy, solve complex business challenges, and deliver measurable outcomes.
This role blends business development, executive consulting, technicalleadership, and people leadership. You will build trusted client relationships,grow strategic accounts, develop high-performing teams, and help organizationstransform through modern data platforms, cloud technologies, analytics, and AI.
- 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.
- 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.
- Design and communicate enterprise data and AI architectures with both 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, machine learning, 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.
- Shape solutions leveraging technologies such as 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.
- 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.
- 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 key ecosystem partners including Databricks, Snowflake, Microsoft, AWS, Google Cloud, and leading AI platform providers.
- 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.
- Deep expertise in data engineering, data architecture, data platforms, and cloud data ecosystems.
- Experience designing and implementing enterprise-scale data platforms and modern data architectures.
- Strong understanding of lakehouse architectures, data governance, data products, metadata management, data quality, and modern engineering practices.
- Experience with Databricks, Snowflake, and cloud-native technologies on AWS, Azure, and/or Google Cloud.
- Familiarity with machine learning, generative AI, LLMs, AI agents, RAG architectures, and enterprise AI adoption patterns.
- Ability to translate complex technical concepts into clear business outcomes and executive recommendations.
Slalom is a fiercely human business and technology consulting company that leadswith outcomes to bring more value, in all ways, always. From strategy throughdelivery, our agile teams across 52 offices in 12 countries partner with clientsto co-create powerful customer experiences, modern ways of working, and meaningful impact.
What sets us apart? We believe work should be challenging and fulfilling, notperfect, but possible. That's why we prioritize purpose, flexibility,connection, and recognition so our people can thrive and love what they do.
Slalom offers meaningful time off, paid holidays, parental leave, 401(k) match,subsidized medical, dental and vision coverage, adoption and fertility assistance, disability coverage, a yearly well-being reimbursement account, and discounted home, auto, and pet insurance.
Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range for Managing Director is $285,000 to $360,000. In addition, individuals may be eligible for an annual discretionary bonus . Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
Questions regarding compensation may be directed topeopleone@slalom.com.
Slalom is an equal opportunity employer and considers qualified applicantswithout regard to race, color, religion, sex, national origin, disability,veteran status, or any other protected characteristic. Slalom will alsoconsider qualified applicants with criminal histories consistent with legalrequirements.
Reasonable accommodations are available during all aspects of the hiringprocess. Contact accomodationrequest@slalom.com if accommodations are needed.
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