Ometria
retail
SeniorImplementationEngineer
“Senior Implementation Engineer at Ometria. Skills: data integration, data validation, client enablement, technical partnership. onboarding enterprise clients onto Ometria's agentic intelligence product, ΛTLΛS. identifying and connecting data sources”
What You'll Achieve.
A successful onboarding is a client who is delighted with ΛTLΛS and has proven ROI from it.; Every enterprise client is fully onboarded onto ΛTLΛS, with data sources identified, connected, and validated within agreed timelines.; Clients understand their data landscape within the platform and are equipped to use it effectively from day one.; Platform inputs and outputs are continuously monitored, with alerts addressed promptly to maintain data integrity and client confidence.; Clients have robust QA and validation strategies in place, co-developed with their internal teams.; Clients are trained and confident in using ΛTLΛS, reducing day-to-day dependency on Ometria.; Clients have custom connectors, integrations, and documentation strategies that are maintained and scalable.; Clients see you as a trusted technical advisor, with relationships across their QA, data, marketing, and technology teams.; Positive client sentiment driven by proactive communication, expert guidance, and reliable delivery.
Industry & Context.
identifying and connecting data sources; identifying and addressing any alerts or anomalies
must reside in New York or Massachusetts, regular travel to client sites within the US, typically 25–40% of the time
What They're Looking For.
Must Have
Minimum 5 years of technical account management or solutions architecture experience in an enterprise software organization, preferably in the Retail and Ecommerce space., Hands-on experience with data warehousing platforms, particularly Biq Query, Snowflake and Databricks, including the ability to build and manage data integrations and custom connectors., Excellent communication and stakeholder management skills, with the ability to engage confidently with enterprise clients across both technical and commercial functions., understanding of the marketing technology landscape — familiarity with the major platforms, what they are used for, and how data flows between them., Experience in marketing programme management and client data management, with a solid grasp of how brands structure and leverage their marketing data., Practical knowledge of identity resolution and CDP-type activities, including data unification, audience segmentation, and profile management., AI engineering capability, with experience building or working with AI-driven data products, pipelines, or platforms., A methodical, self-directed approach to work, with the ability to manage multiple client engagements simultaneously and prioritise effectively.
What You'll Do.
onboarding enterprise clients onto Ometria's agentic intelligence product
identifying and connecting data sources
ensuring the platform delivers ongoing value
guiding them through data integration
and documentation strategies
Data Source Identification and Integration
Semantic Review and Data Validation
Client Enablement and Training
Enterprise Client Engagement
How You'll Work.
Team & Collaboration
trusted technical partner for our clients; part of a team of strategic retail marketing experts; relationships across their QA, data, marketing, and technology teams; engage confidently with enterprise clients across both technical and commercial functions
Communication Scope
communicate clearly with enterprise stakeholders; Excellent communication and stakeholder management skills; communicate technical concepts clearly and confidently with enterprise stakeholders, adapting your approach to the audience.
Process & Methodology
manage multiple client engagements simultaneously, prioritise effectively
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