Staff Data Engineer ( Boston or Chicago )

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

To elevate the human experiences at the heart of business by offering insights that sharpen understanding of the needs of individuals and populations, and provide guidance on how to meet those needs.  

We partner clients to gather the voice of consumers and the workforce to gain insights that address unmet needs.  Through the use of integrated data, advanced analytics and strategic advisory services, we are helping clients transform their organizations to deliver high quality services and lifetime loyalty. 

Our Values:

Champion the Client

We demonstrate an unwavering passion for delivering high-quality solutions and service. We commit to understanding the goals and needs of our clients. We always look for opportunities to improve and create value. Each of us understands our role in enabling client success.

All Together Better

We are united by the common purpose of our vision and mission. We promote teamwork and a culture of belonging  by building strong relationships and fostering trust. We collaborate to identify and develop innovative solutions.

Embrace Change

We recognize that change is constant and presents opportunities to learn, adapt, and evolve.  We seek creative solutions to challenges and e pursue them with optimism and enthusiasm.

Do the Right Thing

We demonstrate commitment to all our stakeholders, including clients, staff, and partners. We take personal accountability for our responsibilities and actions. We do right by each other by acting with honesty and kindness. We provide meaningful recognition and feedback to others.

Job Description

Press Ganey is looking to hire a self-motivated Staff Data Engineer with data platform experience. The Staff Data Engineer (Platform) will play a crucial role in designing, implementing and architecting frameworks, systems and automation that support the development, deployment and observability of state-of-the-art large language models (LLMs) and generative AI solutions. This position focuses on creating scalable, reliable systems and processes that streamline the developer experience and empower analysts and data scientists. The ideal candidate will have strong foundational skills in cloud infrastructure, automation and devops practices, as well as experience implementing data pipelines and deployment automation for ML and analytical workloads. 

Duties & Responsibilities 

• Design and implement processes, systems and automation to streamline the development and deployment of AI solutions. 
• Architect robust, reliable solutions for specific AI applications using appropriate cloud-based and open source technologies. 
• Design and automate data pipelines to deliver complex data products to power training and online inference of AI systems. 
• Deploy ML models, LLMs and GenAI systems into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments. 
• Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process. 
• Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation. 
• Integrate models with chat interfaces and conversational platforms to create responsive, user-centric applications. 
• Investigate and implement agent-based architectures that support conversational intelligen