Solutions Architect translating business rules and stakeholder requirements into work plans at Syneos Health. Supporting technology and data solutions for life sciences innovation within a hybrid work environment.
Responsibilities
Work independently to solve open-ended questions.
Gather project requirements and specifications from clients and internal stakeholders (technical and non-technical) during the project development lifecycle.
Translate business rules and stakeholder requirements into project specifications that leverage internal and external systems.
Design data ingestion and transformation systems and processes.
Support development team and process by developing production schedules and test plans, generating documentation, and assembling presentation material that define project guidelines and milestones.
Engage directly with clients to communicate project updates (via in-person demonstrations, virtual calls/emails) throughout the production lifecycle; and moderate the change-management process.
Coordinate internal (data engineers, data scientists, dashboarding teams) and external resources (e.g., data vendors) to ensure timely production cycle and client delivery.
Independently prototype analytic tools and resources for quick-turn proof-of-concept scenarios, troubleshooting, and project development.
Manage multiple production requirements, workstreams, and timelines, while ensuring that project outcomes match or exceed client expectations.
Design and develop data models that support our enterprise client-facing healthcare analytic product line (e.g., dashboards, apps, widgets, automated reporting).
Requirements
Degree (BS/BA required, MS/MA preferred) in Information Systems or Management, Statistics, Software Engineering, Computer Science, Data Science, Engineering, or related field.
Experience utilizing and leveraging modern data and cloud technologies, like Snowflake, SQL Server, Tableau, Power BI, and Azure.
Experience in architecting, designing, and implementing data-centric and/or software solutions.
Experience creating custom and templated data models for Operational, Performance, and/or BI dashboards/reports.
Strong background in statistics, data modeling, and machine learning concepts.
Experience collaborating with both onshore and offshore product dev teams is preferred.
Strong verbal and written communication skills.
Experience with healthcare marketing analytics, healthcare data (Rx, Medical claims) and common medical coding sets (ICD, HCPCs, NPIs) is a plus.
Benefits
career development and progression
supportive and engaged line management
technical and therapeutic area training
peer recognition and total rewards program
Job title
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