AI Empowerment & Custom Solutions Engineer consulting on AI to enhance productivity and efficiency for clients. Conducting workshops and identifying AI use cases in client environments.
About the role
- 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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Machine Learning Engineer developing and integrating AI solutions into healthcare applications. Focusing on model optimization and production deployment in a collaborative team environment.
Senior Associate leading cloud solutions and migrations at PwC. Involves technical guidance and team mentorship.
Manager in solution architecture role at PwC leading Azure - based cloud migration initiatives. Collaborating with teams to deliver innovative technology solutions for clients' business needs.
Solution Architect responsible for designing electronic solutions and collaborating on technology integration. Focused on application requirements and delivering technical training to internal teams.
Digital Experience Solutions Architect defining scalable solution architectures for Visitor Engagement platform at Fidelity Wealth. Collaborating with development teams to drive business solutions and initiatives.
TC
System Integration Engineer providing system integration support for missile warning and tracking programs at Aerospace. Collaborating with government teams and contractors on technical solutions and assessments.
Client Solutions Manager responsible for business development and candidate placements in Technology recruitment. Engage with clients through various channels to meet business development goals.
Client Solutions Manager handling business development and client relations in technology sector. Seeking candidates with technology background and proven experience in business development.
Solutions Engineering Manager leading pre - sales technical team across TOLA region for cybersecurity solutions. Focused on driving technical excellence and revenue growth in enterprise and mid - market accounts.