Tellius
SaaS
AISolutionsConsultant
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Solutions Consultant at Tellius. Skills: AI Solutions Consulting, Customer Implementation, Data Modeling, Agentic Workflow Design, Conversational AI Configuration, Analytics Translation, Stakeholder Communication. Own end-to-end implementation of Tellius at named enterprise customers, from kickoff through production rollout. Lead customer-facing workshops to extract use cases, requirements, and success metrics”
What You'll Achieve.
Own end-to-end implementation of Tellius at named enterprise customers, from kickoff through production rollout; Build the semantic layer (Business Views) and source data models; Design and develop agentic workflows; Configure Kaiya, our conversational AI interface; Translate ambiguous business problems into reproducible analytics workflows; Present recommendations and demos confidently; Document patterns and contribute to a growing library of reusable implementation assets; direct ownership of customer outcomes - your work shapes how enterprises use AI in their commercial analytics
Industry & Context.
analytical; Comfortable working in ambiguity and bringing structure to it; Translate ambiguous business problems into reproducible analytics workflows
Willing to work US Eastern overlap hours as a core part of the role, not an occasional ask
What They're Looking For.
Must Have
Hands-on SQL - window functions, complex joins, able to debug and optimize a 200-line query without help, Hands-on experience with cloud data platforms - Snowflake, Databricks, Redshift, or BigQuery, Working familiarity with LLMs and agentic AI - prompt engineering, RAG pipelines, multi-step reasoning, tool usage, memory, and you’ve designed around hallucination and built beyond basic ChatGPT usage, Experience with at least one major BI/analytics platform - Tableau, Power BI, ThoughtSpot, Looker, Qlik, or Sigma (you understand what Tellius replaces), Practical understanding of machine learning - you don’t need to train models, but you can explain feature importance, classification vs. regression, and overfitting to a non-technical customer, Excellent written and spoken English - you will be on US customer calls every day, Willing to work US Eastern overlap hours as a core part of the role, not an occasional ask
Nice to Have
Pharma/life sciences project experience - IQVIA (TRx, NRx, NBRx, sub-national), Symphony Health, APLD, ARDs (Axtria), 867 data, sales operations data, claims, Implementation experience at large enterprises (vs. building internal dashboards at one company), Multi-stakeholder navigation - you’ve handled the situation where IT says no and the business says yes, and brought both to alignment, Familiarity with pharma commercial use cases - brand analytics, commercial execution, market access, or medical affairs, Prior experience at an analytics or AI SaaS product company
What You'll Do.
Own end-to-end implementation of Tellius at named enterprise customers
from kickoff through production rollout
Lead customer-facing workshops to extract use cases
Build the semantic layer (Business Views) and source data models - joins
business rules - against customer data
Design and develop agentic workflows wrapping Tellius’s Ask
and Automate capabilities around customer-specific business questions
our conversational AI interface
against customer semantic models and validate against real business questions
Translate ambiguous business problems in brand
and medical affairs into reproducible analytics workflows
Present recommendations and demos confidently to business and technical stakeholders
including senior customer leadership
Document patterns and contribute to a growing library of reusable implementation assets
How You'll Work.
Team & Collaboration
Partner with US-based CSMs, SEs, and AEs on account strategy, QBRs, and expansion conversations; Present recommendations and demos confidently to business and technical stakeholders, including senior customer leadership; Daily collaboration with US leadership and customer-facing teams
Communication Scope
Excellent written and spoken English; Present recommendations and demos confidently to business and technical stakeholders, including senior customer leadership; Communicator who can turn insights into action
Process & Methodology
Own end-to-end implementation of Tellius at named enterprise customers, from kickoff through production rollout
Full Job Description
Tellius enables organizations to get faster insights and act upon cloud-scale enterprise data using AI-powered automation. Any user can ask any question across billions of records via a ChatGPT-like interface, understand “why” metrics change via AI insights that surface hidden key drivers and trends, and leverage agentic flows to perform complex multipart analysis easily — in a self-service manner. Unlike traditional BI tools, Tellius excels at ad hoc analysis, deep dives, and business-friendly advanced analytics. Key Responsibilities Own end-to-end implementation of Tellius at named enterprise customers, from kickoff through production rollout Lead customer-facing workshops to extract use cases, requirements, and success metrics Build the semantic layer (Business Views) and source data models - joins, aggregations, business rules - against customer data in Snowflake, Databricks, Redshift, or BigQuery Design and develop agentic workflows wrapping Tellius’s Ask, Investigate, and Automate capabilities around customer-specific business questions Configure Kaiya, our conversational AI interface, against customer semantic models and validate against real business questions Translate ambiguous business problems in brand, commercial, market access, and medical affairs into reproducible analytics workflows Partner with US-based CSMs, SEs, and AEs on account strategy, QBRs, and expansion conversations Present recommendations and demos confidently to business and technical stakeholders, including senior customer leadership Document patterns and contribute to a growing library of reusable implementation assets Must-Have Skills 3–7 years in client-facing analytics, consulting, or solutions roles - ideally from Axtria, ZS, Indegene, Beghou, ProcDNA, IQVIA Commercial Analytics, Cognizant Life Sciences, Fractal, Tiger Analytics, or equivalent Strong hands-on SQL - window functions, complex joins, aggregations; able to debug and optimize a 200-line query without help Hands-on exper
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