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West Monroe

Digital consulting for business transformation

Director – Data Engineering and AI

Engineering LeadershipConfirmed live in the last 24 hours
Full-time$200k - $275k

About the Job

Requirements

  • At least 10 years participating in team-based, client-facing business and technology consulting services.
  • Depth in one or more key data platform technologies: Databricks, Google Cloud Platform, and/or Snowflake.
  • Experience designing and delivering modern data platforms supporting artificial intelligence, machine learning, and generative AI use cases at enterprise scale.
  • Strong understanding of AI-oriented data architecture concepts, including real-time data pipelines, feature engineering, vector databases, semantic search, and unstructured data processing.
  • Experience implementing scalable data engineering solutions in Databricks, Snowflake, Amazon Web Services, Microsoft Azure, and/or Google Cloud Platform environments to support AI and analytics workloads.
  • Familiarity with MLOps, LLMOps, data observability, and governance frameworks required for enterprise AI deployment and operationalization.
  • Demonstrated success within one or more core industries: healthcare (payer/provider or life sciences), utilities, insurance, banking, and/or private equity.
  • Ability to travel 30–50% as required by client and practice demands.

Responsibilities

  • Drive opportunity origination at existing clients, qualify leads, 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 turn goals into concrete engagements and detailed proposals highlighting quantifiable value creation.
  • Create work plans, pricing estimates, and risk assessments for prospects.
  • Attend networking events and build and leverage a professional and affiliate network in the local community.
  • Lead teams serving clients across industries and demonstrate executive presence with high-level client counterparts.
  • Manage and influence multidisciplinary teams to translate client business objectives into data and analytics solutions; collaborate with data engineering, industry, and product teams to deliver results for clients.
  • Provide quality assurance and conduct frequent touch bases with client executives to ensure engagement value is realized and understood.
  • 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 an organization’s underlying business processes and technologies to recommend ways to achieve long-term scalability, reduce operational cost, or better support business processes.
  • Ensure proper management of project economics, including project budgets, invoicing, and collections.
  • Collaborate with national and local leadership in the Data Engineering & Analytics practice and across industry and functional practices to develop and deliver multidisciplinary, data-driven offerings.
  • Develop and expand capabilities in AI-enabled data engineering, intelligent data platforms, and cloud-native AI architectures.
  • Build accelerators, frameworks, and reusable assets supporting AI data readiness, unstructured data processing, semantic layers, and vector database integration.
  • Drive internal innovation around emerging AI engineering patterns, including retrieval-augmented generation, 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.

About the Company

West Monroe

Digital consulting for business transformation

West Monroe provides digital consulting services that help organizations modernize operations by blending business acumen with technology expertise. Its teams work with clients across industries to develop and execute digital strategies, product engineering, cybersecurity, data analytics, and transformation programs. The firm differentiates itself by combining sector knowledge with technical delivery capabilities and by expanding digital product engineering through acquisitions like Verys. Its goal is to help mid-sized and large enterprises navigate digital change, improve efficiency, and realize measurable value from technology-enabled transformation.

Company size
1,001-5,000
Company stage
Seed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2002

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