# Director, Data Engineering & AI at West Monroe

> United States · Director+ · Data engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Awestmonroe4%3A6007104004 (read 2026-11-14).

## Facts (observed)

- Company: [West Monroe](https://alderhq.app/companies/west-monroe)
- Location text: Chicago; Dallas; Los Angeles; Minneapolis; New York; San Francisco; Seattle; Washington, D.C.; Chicago
- Where it can be done from (inferred): United States (evidence: "Location: Chicago; Dallas; Los Angeles; Minneapolis; New York; San Francisco; Seattle; Was")
- Posted: 2026-05-27 (171 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://westmonroe.com/careers/job-details-experienced-professionals?gh_jid=6007104004
- Skills listed (inferred): GCP, Snowflake, LLMs

## Pay and sponsorship

- Posted pay: $200k–$275k per year (from the listing's pay field)
- Market band for similar posted roles (Chicago, n 20): p25 $136k, median $171k, p75 $201k

## Description (the employer's text)

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
- Experience designing and delivering modern data platforms that support AI, 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

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Awestmonroe4%3A6007104004 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.