Data Solutions Consultant (AI)

AssistRx

85d

About The Position

At AssistRx, we combine AI technology and human insight to simplify patient access and drive better health outcomes. You’ll join a team where innovation and precision meet purpose—empowering healthcare organizations to make data smarter and more actionable. We are seeking a Data Solutions Consultant to empower clients in unlocking the value of their data through effective alignment of business needs with technical capabilities. This role combines business analysis, data exploration, and solution design to facilitate AI-enhanced solutions. You will collaborate closely with clients to comprehend their workflows and CRM usages (e.g., Salesforce), validate their data, and develop clear specifications for data engineering teams. Your responsibilities will include documenting workflows, simplifying technical processes for non-technical audiences, and ensuring that the solutions align with client objectives. Post-implementation, you will continue to support client adoption and identify opportunities for enhancing data solutions. This position is ideal for someone who excels at merging business consulting with data problem-solving.

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.

Nice To Haves

• Knowledge of Python, API data structures (JSON/XML), and AI/ML feature engineering.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees