Technical Adoption Consultant - EMEA

Domo; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading data solutions company in London is seeking an experienced Technical Adoption Consultant to be a trusted advisor for customer accounts. You will guide various customers through the adoption and implementation of AI and data products. The ideal candidate will possess strong skills in SQL and Python, along with a deep understanding of business intelligence platforms. The role offers an exciting opportunity to work in a fast-paced environment, helping customers maximize their data potential.

Qualifications

• 5+ years experience in a technical, data-focused, customer-facing consulting role.
• Proficiency with business intelligence platforms.
• Strong skills in SQL & Python for data modeling and integrations.

Responsibilities

• Act as a trusted advisor for customer accounts to enhance Domo implementation.
• Conduct webinars, training sessions, and workshops.
• Guide customers on system and data architecture.

Skills

SQL

Python

Data modeling

Communication

Problem-solving

Adaptability

Tools

Domo

Snowflake

Databricks

APIs

Postman

Job description

Domo puts data to work to help everyone multiply their impact. Domo gives every kind of user real-time insights they can act on, with secure, easy-to-use, AI-powered data experience that drive a culture of data curiosity.

POSITION SUMMARY

As part of the EMEA Advanced Customer Enablement (ACE) program we are seeking a Technical Adoption Consultant to serve as a trusted advisor for customer accounts, helping them maximize the potential of Domo’s AI & Data Products Platform. In this role, you will collaborate closely with customer teams to drive the adoption and successful implementation of Domo, from conception through delivery. You'll be responsible for facilitating engagement through webinars, workshops, and training, while also mentoring customers to foster self-sufficiency.

Your technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses like Snowflake and Databricks, supporting the integration of external data sources, developing data models and ETL processes, to driving value through dashboards or business applications. You’ll also help integrate AI tools and LLMs to unlock valuable insights, optimize performance, and automate business processes.

You’ll thrive in a dynamic, fast-paced environment, where your ability to manage multiple customer projects, adapt to evolving requirements, and provide creative solutions will be essential. If you're passionate about delivering exceptional customer experiences and have a desire to continuously learn and grow, this role offers an exciting opportunity to shape the future of data-driven businesses.

Interested? Apply now and help businesses leverage their data to drive impactful change and deliver measurable value!

KEY RESPONSIBILITIES

• Act as a trusted advisor for named customer accounts, ensuring they fully leverage Domo’s AI & Data capabilities.
• Collaborate with customer teams to enhance their Domo implementation & administration.
• Conduct webinars, training sessions, and Art of the Possible workshops to showcase platform potential.
• Consult, train and mentor customers on best practices and skills to drive greater self-sufficiency.
• Help customers uncover new use cases and drive adoption across their teams.
• Translate key business requirements into effective solutions that drive customer value.
• Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake & Databricks.
• Oversee the full project lifecycle, from conception to delivery & sign-off, ensuring seamless collaboration with technical consultants, architects & customers.

Technical Support & Problem Solving:

• Assist customers in resolving technical challenges, working with SQL, APIs, and Python to support related to data ingestion, transformation, and visualization.
• Develop and optimize data models, ETL processes, Workflows & dashboards within Domo.
• Provide best practices for analytics pipelines, integration strategies, performance optimization and data governance & AI readiness.
• Leverage AI capabilities within Domo and integrate external AI tools and LLMs to enhance data insights, automation, and predictive analytics.

JOB REQUIREMENTS

• 5+ years’ experience in a technical, data-focused, and customer-facing consulting role;
• Proficiency with business intelligence platforms (e.g., Domo, Tableau, Looker, Power BI);
• Strong skills in SQL & Python for data modelling, integrations, and process automation;
• Hands-on use of APIs, including constructing calls in Postman;
• Familiarity with AI technologies, including LLMs, AI agents and external AI tools, to enhance data insights, automation, and predictive analytics;
• Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB);
• Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery;
• Proven ability to manage technical project delivery, including scoping, planning, and risk assessment;
• Strong organizational skills to oversee multiple concurrent customer projects;
• Adaptability to shifting customer requirements and priorities;
• Excellent problem-solving skills, creativity, and a strategic mindset;
• Ability to build strong relationships as a trusted advisor, ensuring technical, business & senior stakeholders stay informed and satisfied;
• Clear and effective communication skills, translating technical concepts for non-technical audiences;
• Thrive in a fast-paced environment with a passion for continuous learning and growth.

NICE TO HAVE

• Knowledge of large ERP systems (SAP, Oracle, Microsoft Dynamics, NetSuite, etc.).
• Vertical or subject matter expertise across Marketing, Finance, Sales Operations, Manufacturing, Supply Chain, etc).
• Familiarity with Security frameworks (e.g., JWT, OATH2)

LOCATION: London, England

Domo is an equal opportunity employer.

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