Data Operations and AI Solutions Developer

Syneos Health Commercial Solutions; Tandil; Hybrid; ARS 1,200,000 - 1,900,000; Full time

Job summary

Syneos Health, Inc. is seeking a Data Operations & AI Solutions Developer to modernize and scale data workflows for AnswerSuite’s syndicated healthcare research products. The role blends hands-on data work with building automation and AI-enabled capabilities.

You will collaborate with Panel Management, Data Operations, Client Services and Technology to translate business needs into scalable technical solutions, while guiding release planning and training for automated processes.

Qualifications

• Clear communication across technical and non-technical teams (English fluency required).
• Degree in Information Systems, Computer Science or related field; MS preferred.
• 5-7 years in data/cloud tech with modern data stacks like Snowflake, Oracle, Tableau, Power BI and Azure.
• Experience architecting and implementing data-centric or software solutions.
• Proficiency in Python, C#, SQL and modern frontend technologies.

Responsibilities

• Execute and oversee data cleansing, mapping, categorization and quality control for syndicated research products.
• Maintain data integrity across promotional, advertising, survey and reference datasets.
• Handle exceptions, investigate data anomalies, and resolve production issues.
• Manage product, manufacturer, classification and reference data updates.
• Support monthly/ quarterly production cycles ensuring accuracy and consistency.
• Develop automated data processing solutions and scalable workflows.
• Build internal/client-facing applications and integrate data sources to enhance product capabilities.
• Apply AI concepts to improve classification, coding, QA, content review and workflow routing.

Skills

Communication skills

English fluency

Python

C#

SQL

Education

BS/BA in Information Systems

MS/MA preferred

Tools

Snowflake

Oracle

Tableau

Power BI

Azure

Job description

Description

AnswerSuite is part of the Syneos Health organization and is a market research center of excellence. We have been serving the biopharmaceutical industry for over 30 years as experts in market measurement. Whether our clients are preparing for a product launch, optimizing marketing strategies, or navigating generic competition, we deliver the precise, data-driven insights they need to stay ahead of the competition and achieve our clients’ business objectives. This is achieved through our data-driven insights garnered from our syndicated data and custom/primary research analytics. Our team is comprised of tenured business development professionals, analytical gurus, technology innovators and panel management experts.

Description

AnswerSuite is part of the Syneos Health organization and is a market research center of excellence. We have been serving the biopharmaceutical industry for over 30 years as experts in market measurement. Whether our clients are preparing for a product launch, optimizing marketing strategies, or navigating generic competition, we deliver the precise, data-driven insights they need to stay ahead of the competition and achieve our clients’ business objectives. This is achieved through our data-driven insights garnered from our syndicated data and custom/primary research analytics. Our team is comprised of tenured business development professionals, analytical gurus, technology innovators and panel management experts.

Position Overview

The Data Operations & AI Solutions Developer is a hybrid business and technology role responsible for modernizing, automating, and scaling the data operations that support AnswerSuite's syndicated healthcare research products and future innovation initiatives.

Initially, this individual will serve as a hands‑on owner of critical data operations workflows supporting promotional offerings including proprietary and external data feeds. Through direct involvement in these processes, the individual will gain deep operational expertise while identifying opportunities to automate repetitive activities, improve data quality, and reduce manual effort by creating streamlined approaches.

As operational workflows mature and are transitioned to dedicated operations resources, this role will increasingly focus on building technology solutions, AI‑enabled capabilities, internal applications, workflow automation, and client‑facing innovations that support existing products and accelerate development of future offerings.

This role works closely with Panel Management, Data Operations, Client Services, Technology, Product Leadership, and external vendors to translate business challenges into scalable technical solutions. Strong communication coupled with a collaborative attitude is essential as this role will straddle two teams – panel management and data reference as well as technology innovation. This team member will translate business requirements into technical specifications and actional development plans as well as support training, transition planning, and operational handoffs as automated solutions are implemented. They will also provide technical guidance on data quality, system design, and workflow improvements.

Data Operations & Process Ownership

• Execute and oversee critical data cleansing, mapping, categorization, and quality control activities supporting syndicated research products.


• Maintain data integrity across promotional, advertising, survey, and reference datasets.


• Perform exception handling, investigate data anomalies, and resolve production issues impacting product delivery.


• Manage product(s), manufacturer(s), classification(s), and reference data updates.


• Support monthly and quarterly production cycles while ensuring accuracy and consistency.


• Document business rules, operational processes, and data standards to facilitate future automation and knowledge transfer.

Workflow Automation & Process Modernization

• Analyze existing operational workflows and identify opportunities to eliminate manual effort through automation.


• Design, develop, and maintain automated data processing solutions using SQL, scripting languages, APIs, and database technologies.


• Create tools that improve mapping, validation, reconciliation, exception management, and quality control activities.


• Develop scalable workflows that reduce operational risk and improve processing speed and accuracy.


• Partner with business stakeholders to convert manual business rules into governed and maintainable technical solutions.


• Establish monitoring, alerting, and exception management capabilities to streamline operational support.

Application Development & Product Enablement

• Design, develop, and support internal and client‑facing applications that enhance product delivery and operational efficiency.


• Build and maintain full‑stack solutions utilizing modern web technologies, APIs, and database platforms.


• Optimize existing applications and implement enhancements based on business and user feedback.


• Integrate third‑party and internal data sources to improve product capabilities and operational workflows.


• Create technical documentation and knowledge resources for applications and solutions.

AI & Innovation Initiatives

• Identify opportunities to apply artificial intelligence and machine learning technologies across research operations, product development, and client solutions.


• Develop AI‑assisted workflows that improve classification, coding, quality assurance, content review, insight generation, and workflow routing.


• Partner with business leaders to evaluate emerging technologies and pilot new AI‑enabled capabilities.


• Help define technical requirements and implementation strategies for future AI‑powered products and services.


• Contributes to the development of scalable innovation initiatives that drive operational efficiency and commercial growth.


• Create technical documentation and knowledge resources for applications and solutions.

Qualification Requirements

• Strong communication skills with the ability to work effectively across technical and non‑technical teams (English fluency required)


• Degree (BS/BA required, MS/MA preferred) in Information Systems or Management, Computer Science, or related field.


• 5-7 years utilizing and leveraging modern data and cloud technologies, like Snowflake, Oracle, Tableau, Power BI, and Azure.


• Experience in architecting, designing, and implementing data-centric and/or software solutions.


• Coding languages python, C#, SQL and modern frontend technologies.


• 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 with healthcare marketing analytics, healthcare data (Rx, Medical claims) and common medical coding sets (ICD, HCPCs, NPIs) is a plus.


• Knowledgeable on how to utilize AI (ChatGPT and other AI tools) for analytical purposes.

At Syneos Health, we are dedicated to building a diverse, inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to apply anyway. At times, we will consider transferable skills from previous roles. We also encourage you to join our Talent Network to stay connected to additional career opportunities.

Syneos Health Communications is powered by Syneos Health, a global professional services organisation designed to help the biopharmaceutical industry shorten the distance from lab to life®. We have a proven pedigree in health, with industry titans in every facet of healthcare. This eliminates guesswork and fuels our passion for total, life‑changing solutions. At the heart of health, we’re uniquely poised to predict what’s next and respond to the market’s demand for smarter and faster answers. We are able to help our customers make important decisions within their business due to our unique understanding of the complexities that come along with working in the healthcare industry. Syneos Health Communications is able to make the complex, simple.

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Syneos Health companies are affirmative action/equal opportunity employers (Minorities/Females/Veterans/Disabled)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.