Data/AI Subject Matter Expert
Listed on 2026-06-24
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IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, IT Consultant
Data / AI Subject Matter Expert
Location: Anywhere (Remote)
Job Type: Permanent Category: Advisory Industry: Other Workplace Type: Remote
Reference : JN
- Date Posted: 06/08/2026
Our client seeks a senior Data / AI Subject Matter Expert to lead presales and consulting for converged data and AI engagements. The role covers modern data platforms, data governance, and proactive opportunity shaping to drive revenue, improve client credibility, and scale practice growth. The expert will lead data-focused discovery, guide technology selection, own RFP/RFI responses centered on data architecture, and ensure continuity from presales through delivery.
They will also contribute to practice building through repeatable offerings and internal capability development.
This is a full-time, permanent opportunity offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a W2 basis.
Salary: $170,000 - $220,000 per year (W2)
Responsibilities- Lead data-focused presales conversations with senior technical stakeholders at enterprise and financial services clients.
- Proactively shape data platform modernization engagements with existing accounts.
- Own RFP/RFI responses where data architecture is the lead requirement.
- Bring credibility and depth to discovery conversations, differentiating data architecture from AI generalism.
- Serve as the practice point for Snowflake, Microsoft Fabric, Databricks, and Lakehouse design.
- Guide technology selection and platform decisioning for complex data opportunities.
- Advance data platform proofs-of-concept through to solution delivery.
- Shape and lead data governance engagements, including cataloging strategy and policy frameworks.
- Provide solution-level data architecture guidance on integration, platform foundations, and migrations.
- Collaborate with delivery teams for continuity from presales to implementation.
- Identify patterns across accounts and develop repeatable service offerings.
- Build internal capability by upskilling team members on data fluency.
- Represent data capabilities in client settings, industry events, and thought leadership.
- Engage on select billable delivery to generate revenue and lead complex engagements.
- 7–10+ years in data engineering, data architecture, or data consulting with senior practitioner depth.
- Hands‑on fluency with Snowflake, Microsoft Fabric, Databricks, and Lakehouse architecture patterns.
- Proven presales experience shaping and winning data engagements.
- Data governance expertise including policy design, cataloging tools such as Purview, Collibra, or Alation, and governance operating models.
- Consulting and client‑facing experience with enterprise and financial services clients.
- Strong written and verbal communication skills to translate complex data architecture concepts into client‑ready narratives and proposals.
- Preferred: experience in consulting firms, exposure to AI/ML workflows and tools such as Snowflake Cortex, Databricks MLflow, or Azure ML.
- Preferred: background in financial services or regulated industries with strong governance needs.
- Preferred: familiarity with cloud data architectures on Azure, AWS, or GCP.
- Preferred: experience with Power Platform, Fivetran, dbt, Azure Data Factory, or data mesh frameworks.
- Medical (choice of 3 plans)
- Dental
- Vision
- Pre‑tax accounts
- Other voluntary benefits including life and disability insurance
- 401(k) with match
- Sick time if required by law in the worked‑in state/locality
Equal Opportunity Employer
Eliassen is an Equal Opportunity and affirmative action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex, marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, or any other category protected by federal, state, or local laws.
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