Senior AI Solutions Engineer
Built
AzureGraphQLPythonSQLTypeScript
Data Solutions Consultant, AI
AssistRx
full-time
Posted on:
Location Type: Remote
Location: Remote • Florida • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- Lead **technical discovery** sessions with clients to assess workflows, CRM data (e.g., Salesforce, Veeva), and backend data systems.
- Develop and execute **SQL queries and BI reports** to explore, validate, and reconcile client data.
- **Design and document data mapping** between client objects and internal data models, defining transformation and normalization logic.
- Translate client business requirements into **clear, actionable technical specifications** for engineering teams.
- Review and validate code outputs and workflow logic to ensure **alignment with design requirements and data accuracy**.
- Produce **technical and client-facing documentation** explaining data flow, logic, and solution design.
- Provide **quality assurance (QA/QC)** oversight for data transformations, ensuring completeness, integrity, and reliability.
- Partner with Account Management and Engineering on **post-implementation success**, addressing issues and identifying enhancement opportunities.
- Support **pre-sales and solution scoping** activities by analyzing client data readiness and integration feasibility.
Requirements
- Bachelor's degree in Healthcare Informatics, Statistics, Data Science, Computer Science, Information Systems, Business Analytics, or equivalent experience.
- 4–7 years in data integration, analytics, or client-facing roles.
- Experience translating healthcare or CRM workflows into technical requirements and supporting pre-sales and post-implementation for data products.
- Industry experience includes:
- - Pharmaceutical patient support programs
- - Nurse/case management programs (adherence, reimbursement)
- - Medication Therapy Management (MTM) programs
- - Hub services for patient access and engagement
- - Specialty pharmacies or copay data flows
- - Clinical trial support and patient recruitment using CRM.
- **Technical Expertise**
- - Advanced SQL proficiency for data exploration and transformation.
- - Familiarity with data warehouse environments (Snowflake, MS SQL).
- - Understanding of data modeling, normalization, and CRM ecosystems (Salesforce, Veeva, HubSpot).
- - Experience documenting transformation logic and integration workflows.
- - Bonus: Knowledge of Python, API data structures (JSON/XML), and AI/ML feature engineering.
- **Consultative & Communication Skills**
- - Ability to lead client discovery sessions and map business objectives to data capabilities.
- - Strong communication skills for bridging business and technical teams.
- - Experience creating clear documentation for clients and engineers.
- - Comfortable presenting solutions and collaborating with various teams.
- **Operational Strengths**
- - Understanding of data quality and lineage in healthcare ecosystems.
- - Experience in data validation and reconciliation.
- - Organized and detail-oriented, able to balance technical analysis with strategic design.
Benefits
- Supportive, progressive, fast-paced environment
- Competitive pay structure
- Matching 401(k) with immediate vesting
- Medical, dental, vision, life, & short-term disability insurance
- Opportunity to **impact patient outcomes** through data-driven healthcare technology.
- Collaborative and **mission-driven culture** that values innovation and continuous learning.
- Access to **cutting-edge cloud technologies** and modern data engineering tools.
- Competitive compensation, comprehensive benefits, and career growth opportunities**
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata mappingdata transformationdata normalizationdata validationdata reconciliationdata modelingAPI data structuresPythonBI reporting
Soft skills
consultative skillscommunication skillsorganizational skillsdetail-orientedclient discoverycollaborationpresentation skillstechnical documentationproblem-solvingquality assurance
Certifications
Bachelor's degree in Healthcare InformaticsBachelor's degree in StatisticsBachelor's degree in Data ScienceBachelor's degree in Computer ScienceBachelor's degree in Information SystemsBachelor's degree in Business Analytics
