At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.
MCG develops evidence-based guidelines that help patients get the right care across healthcare settings. Our Data Science team combines AI with the expertise of our clinical editors and guidelines to improve the efficiency and accuracy of documentation workflows. We bring deep experience applying natural language processing to clinical data and are expanding what reliable, explainable agentic workflows can do.
As Associate Director, Data Engineering, you will shape the data foundation behind MCG’s AI products. You will partner with Product Managers, Software Engineers, and Data Scientists to build and operate the platform that moves data from ingestion to trusted datasets and actionable insights. Your work will help scientists improve our products, inform our AI roadmap, and give teams clearer ways to make data-informed decisions. This role spans platform engineering, data operations, analytics, and emerging agentic workflows, with room to shape how this capability grows.
You Will
- Partner with Product Managers and customers to understand needs, translate them into requirements, and design end-to-end data and insights solutions for AI features.
- Grow and maintain the data platform that supports MCG’s AI work, connecting data ingestion, transformation, governance, and delivery into dependable workflows.
- Develop and maintain high-quality, well-governed datasets that Data Scientists can use to build, evaluate, and continuously improve AI products.
- Use MCG’s data to identify patterns, opportunities, and customer-relevant insights that can inform product decisions and the AI roadmap.
- Create and maintain clear, dynamic dashboards that help partners across the business understand performance and make data-informed decisions.
- Apply strong data operations and software engineering practices to improve the quality, reliability, repeatability, and usability of data pipelines and platform capabilities.
- Collaborate across Product, Engineering, and Data Science to clarify tradeoffs, surface data risks early, and deliver solutions that meet technical and business needs.
Our Tech Stack
- Python, C#, C++
- Databricks
- Flyte, Tableau, Power BI
- Azure, AWS
What We’re Looking For
- At least 10+ years of experience in data engineering, data science, or a related field.
- Demonstrated experience building, maintaining, or growing data platforms that support AI or machine learning products.
- Strong data operations and software engineering skills, including experience designing reliable data workflows and production-ready pipelines.
- A clear understanding of the machine learning lifecycle and how dependable data supports model development and ongoing product improvement.
- Experience working with governed data lakes and applying sound practices for data quality, organization, and access.
- Ability to turn product, customer, and scientific needs into practical technical data solutions.
- Excellent written communication and collaboration skills, with the ability to explain data concepts and recommendations to varied audiences.
Preferred Qualifications
- Experience with deep learning, natural language processing, or other applied AI methods.
- Experience working with healthcare or clinical data.
Pay Range: $192,00 - $269,000
Other compensation: Bonus Eligible
Location: Seattle Preferred
Perks & Benefits:
💻 Remote Work/Hybrid Work
✈️ Travel expected 1–3 times per year for company-sponsored events
🩺 Medical, dental, vision, life, and disability insurance
📈 401K retirement plan; flexible spending and health savings account
🏝️ 15 days of paid time off + additional front-loaded personal days
🏖️ 14 company-recognized holidays + paid volunteer days
👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave
🌈 LGBTQ+ Health Services
🐶 Pet insurance
📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/
All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Note on interviews: We may use AI tools to audio-record and transcribe interviews for note-taking purposes. These are used only by our hiring team and do not make decisions on their own. Let us know if you prefer an alternative.
All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Note on interviews: We may use AI tools to audio-record and transcribe interviews for note-taking purposes. These are used only by our hiring team and do not make decisions on their own. Let us know if you prefer an alternative.
MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support.
Skills Required
- At least 10 years of experience in data engineering, data science, or a related field
- Experience building, maintaining, or growing data platforms supporting AI or machine learning products
- Strong data operations and software engineering skills, including designing reliable data workflows and production-ready pipelines
- Understanding of the machine learning lifecycle and the role of dependable data in model development and product improvement
- Experience with governed data lakes and data quality, organization, and access practices
- Ability to translate product, customer, and scientific needs into practical technical data solutions
- Excellent written communication and collaboration skills, including explaining data concepts to varied audiences
- Experience with deep learning, natural language processing, or other applied AI methods
- Experience working with healthcare or clinical data
What We Do
MCG, part of the Hearst Health network, helps healthcare organizations implement informed care strategies that proactively and efficiently move patients toward health. MCG’s independent and transparent review of clinical evidence gives healthcare organizations confidence in their patient-centered care. By leveraging artificial intelligence and other technology, MCG presents this information within the workflow, to simplify and prioritize the work. MCG’s world-class customer service team ensures that clients are able to maximize the benefits of ownership for both content and software – demonstrating a return on financial investment as well as patient outcomes. Our solutions are used by several U.S. government agencies, a majority of U.S. health plans, and nearly 2,600 hospitals.
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