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Director, Data Engineering & AI

West Monroe
CompanyWest Monroe
CategoryEngineering
LocationChicago; Dallas; Los Angeles; Minneapolis; New York; San Francisco; Seattle; Washington
RemoteOn-site (inferred)
EmploymentNot stated
LevelDirector
SalaryNot stated by the employer
Posted27 May 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
Are you ready to make an impact? West Monroe has an opportunity for a strategic  Director, Data Engineering & AI to join our Technology practice. This leader will structure, lead, support, drive, and grow West Monroe’s Technology Data Engineering practice and associated offerings in collaboration with other leaders across the company. What you will do in this role:    Business Development:    Drive opportunity origination at existing clients, qualify leads and collaborate on pursuits for new work and build deep relationships Shape client engagements focused on AI-enabled data modernization, including data platform transformation, data quality, governance, and AI infrastructure readiness Collaborate with industry and multidisciplinary teams to identify sales opportunities   Initiate and lead business development meetings with prospective clients Understand client needs and requirements and help turn those goals into concrete engagements and detailed proposals that highlight quantifiable value creation Create work plans, pricing estimates, and risk assessments for prospects Attend networking events and actively build and leverage a professional network and affiliate network in the local community Client Delivery:    Lead teams serving clients across industries while demonstrating executive presence with high level client counterparts.   Manage and influence multi-disciplinary teams to translate client business objectives into data and analytics solutions; collaborate with data engineering, industry, and product teams to deliver impactful results for our clients   Provide quality assurance and conduct frequent touch bases with client executives to ensure value is realized and understood from our engagements  Architect enterprise data solutions that support AI use cases through high-quality, governed, discoverable, and interoperable data pipelines Guide clients in implementing data engineering best practices for AI applications, including feature engineering, vectorized data architectures, metadata management, and real-time data processing Understand and support the underlying business processes and technologies being used within an organization to be able to make recommendations on how to achieve long-term scalability, reduce operational cost, or better support business processes   Ensure proper management of project economics including: project budgets, invoicing, and the collection process      Practice Development:    Collaborate with national and local leadership within Data Engineering & Analytics practice and across West Monroe industry and functional practices, to develop and deliver multi-disciplinary, data-driven offerings   Develop and expand West Monroe’s capabilities around AI-enabled data engineering, intelligent data platforms, and cloud-native AI architectures Build accelerators, frameworks, and reusable assets that support AI data readiness, unstructured data processing, semantic layers, and vector database integration Drive internal innovation around emerging AI engineering patterns including retrieval augmented generation (RAG), agentic workflows, streaming data architectures, and AI orchestration frameworks Mentor teams on modern AI data engineering concepts including scalable pipeline design, data products, feature stores, and AI platform operationalization Stay current on evolving technologies across AI infrastructure, data engineering, cloud ecosystems, and intelligent data applications What you will bring:    10+ years participating in team-based, client-facing business and technology consulting services     Requisite depth in one or more key data platform technologies – Databricks, GCP, and / or Snowflake Entrepreneurial spirit and willingness to innovate on new and emerging solutions&nbs
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