Data Solutions Consultant (AI) at AssistRx

, , United States -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

18 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Integration, Business Analysis, SQL, Data Mapping, Documentation, Data Validation, Client Collaboration, Technical Specifications, Healthcare Informatics, CRM Systems, Data Quality, Analytical Skills, Communication Skills, Problem-Solving, Innovation, Adaptability

Industry

IT Services and IT Consulting

Description

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. Key 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. Education & Experience 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. COMPETENCIES: Adaptability - Adapts to changes in the work environment; Manages competing demands; Changes approach or method to best fit the situation; Able to deal with frequent change, delays, or unexpected events. Analytical - Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data; Designs work flows and procedures. Business Acumen - Understands business implications of decisions; Displays orientation to profitability; Demonstrates knowledge of market and competition; Aligns work with strategic goals. Initiative - Volunteers readily; Undertakes self-development activities; Seeks increased responsibilities; Takes independent actions and calculated risks; Looks for and takes advantage of opportunities; Asks for and offers help when needed. Innovation - Displays original thinking and creativity; Meets challenges with resourcefulness; Generates suggestions for improving work; Develops innovative approaches and ideas; Presents ideas and information in a manner that gets others' attention. Written Communication - Writes clearly and informatively; Edits work for spelling and grammar; Varies writing style to meet needs; Presents numerical data effectively; Able to read and interpret written information. 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 AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws. All offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background check. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this position. AssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hire

Responsibilities

The Data Solutions Consultant will lead technical discovery sessions with clients to assess workflows and data systems, translating business requirements into actionable technical specifications. Post-implementation, the consultant will support client adoption and identify opportunities for enhancing data solutions.