Director, Data Science

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.

The Director, Data Science provides strategic and operational leadership for MCG's Data Science team responsible for developing advanced AI solutions that improve clinical decision support for payers and providers. This role leads a team of senior and staff-level data scientists in designing, developing, and deploying production-grade AI systems that leverage foundation models, proprietary clinical evidence, and emerging AI technologies to deliver measurable customer value.  

Working closely with Product, Engineering, Clinical, and executive leadership, the Director establishes technical direction, aligns AI research with business priorities, and ensures successful delivery of scalable AI capabilities. This leader balances technical depth with people leadership, fostering a high-performing, collaborative team while advancing MCG's AI strategy through innovation, operational excellence, and responsible adoption of emerging technologies.  

You Will:

Lead, coach, and develop a team of senior and staff data scientists, establishing clear priorities, fostering technical excellence, and supporting career growth.  

Define departmental priorities, technical direction, and execution plans that align AI initiatives with business objectives, product roadmaps, and customer needs.  

Ensure successful delivery of production-ready AI models, workflows, and services that meet quality, scalability, security, and performance expectations.  

Partner closely with Product Management, Engineering, Clinical, and Infrastructure teams to prioritize work, resolve dependencies, and deliver customer-focused AI solutions.  

Prototype and evaluate novel AI techniques, architectures, and agentic workflows that advance MCG's clinical AI capabilities and create competitive differentiation.  

Provide technical leadership in the design, evaluation, fine-tuning, and deployment of large language models and related AI technologies.  

Establish engineering and scientific best practices for experimentation, model evaluation, reproducibility, documentation, and operational excellence.  

Monitor emerging AI technologies, research, and industry trends to identify opportunities for innovation and continuous improvement.  

Communicate technical strategy, risks, tradeoffs, and progress to senior leadership and cross-functional stakeholders.  

Manage departmental planning, resource allocation, and execution to ensure delivery against organizational priorities.  

Foster a collaborative, inclusive, and high-performing team culture built on continuous learning and innovation.  

Champion the effective and responsible use of AI-assisted development tools and workflows across the team to improve productivity, quality, and delivery.  

What We're Looking For:

Master's degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field, or equivalent practical experience.  

At least 10 years of experience developing machine learning, natural language processing, or AI solutions, including production deployment of large-scale systems.  

Demonstrated experience leading teams of senior and staff-level data scientists or machine learning engineers.  

Demonstrated success delivering AI-enabled products or services from concept through production.  

Deep understanding of large language model architectures, prompt engineering, retrieval-augmented generation (RAG), and model evaluation methodologies.  

Experience with fine-tuning techniques and modern approaches for adapting foundation models.  

Experience developing AI solutions in cloud environments such as AWS, Azure, or Google Cloud Platform.  

Strong proficiency in Python and modern machine learning frameworks such as  PyTorch .  

Experience building scalable distributed AI systems and production ML pipelines.  

Excellent written and verbal communication skills with the ability to communicate complex technical concepts to diverse audiences.    

Preferred Qualifications :  

Experience developing AI solutions within healthcare or other highly regulated industries preferred.  

Experience with advanced agentic AI systems, autonomous workflows, and reasoning agents preferred.  

Experience with Kubernetes, Databricks, Flyte, or comparable cloud-native data science platforms preferred.  

Familiarity with retrieval-augmented generation (RAG), vector databases, and enterprise AI architectures preferred.  

Demonstrated ability to influence technical strategy across cross-functional teams and organizational boundaries.  

Strong analytical, strategic thinking, and problem-solving skills.  

Experience using AI-assisted software development tools (e.g., Claude Code, Cursor, GitHub Copilot, or similar) to improve engineering productivity and software quality preferred.    

Pay Range:   $177,300 - $248,200

Other compensation:   Bonus Eligible

Location  Preference:   Seattle-based talent preferred for this role

Perks & Benefits:

💻  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.