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Omni (omni.co)

Managing Architect (EMEA)

Posted 9 Days Ago
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Hybrid
Dublin, IRL
Senior level
Hybrid
Dublin, IRL
Senior level
Lead complex technical consulting engagements for enterprise customers across pre-sales, scoping, implementation, and expansion. Serve as the primary technical advisor, design best practices for Omni’s analytics platform, guide AI feature adoption, manage delivery partners and project resources, and oversee customer outcomes. Collaborate with Product and Engineering to communicate customer feedback and influence product direction. The role combines technical customer delivery, pre-sales support, and internal ecosystem enablement.
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About Omni

Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.
Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.

About the Role

We are seeking a Managing Architect to join our Professional Services team, helping customers get to value faster while driving successful outcomes across the customer lifecycle. You will lead complex technical engagements, serve as a trusted advisor to customers, and partner closely with Sales and delivery partners from pre-sales scoping through implementation and expansion.

In this role, you will scope, sell, and deliver projects across a range of complexity, including internal BI and embedded analytics initiatives. You will own delivery outcomes, advocate for customers, and identify challenges and product gaps, partnering with internal teams to address them. Your insights will help shape product direction, strengthen the customer experience, and create opportunities for continued growth.

Responsibilities
  • Serve as the deep technical expert to solve complex data problems while defining best practices and design patterns for the Omni platform.

  • Provide insight and guidance on how to leverage Omni’s AI features to maximise impact of the platform.

  • Manage a portfolio of primarily Enterprise customers, overseeing scoping, resource allocation, and delivery approach.

  • Act as the primary customer-facing technical contact, building strong, long-term relationships.

  • Drive project results by managing consulting and delivery partners, ensuring alignment across all workstreams.

  • Partner with Product and Engineering teams to translate frontline customer feedback into actionable product direction.

About You
  • 7+ years in technical consulting / project management, ideally in the data space

  • Deep hands-on expertise in data engineering and BI tools (e.g. Tableau, PowerBI, Mode), with a specific mastery of semantic layers like Omni or Looker.

  • Ability to bridge the gap between technical and non-technical audiences while thriving in fast-paced, collaborative, and evolving environments.

  • Experience across the full project lifecycle from positioning and scoping through to execution, ideally as a consultant.

A typical day for you at Omni:
  • 30% Pre-sales technical support & scoping

  • 40% Hands-on customer delivery

  • 30% Internal best practices and ecosystem support

Location:

This is a hybrid role for candidates based in Dublin (3 days per week in-office). Candidates based in the UK will work remotely.

Why Join Us
  • Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team

  • Health, dental, and vision insurance

  • 401(k) Plan (for US-based roles)

  • Unlimited PTO


Omni is an equal opportunity employer.
We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.

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