Director, Data Science

American Red Cross • Statewide, NC

3d • Remote

About The Position

The Enterprise AI (EAI) group supports every line of business at the American Red Cross by enabling the responsible, scalable, and impactful use of artificial intelligence across the organization. Within EAI, the Data Science team designs and delivers advanced AI solutions that drive innovation, operational excellence, and mission impact. As a Director, Data Science, you will report to the VP of Enterprise AI and lead a team of data scientists supporting biomedical initiatives, with a focus on both traditional machine learning and generative AI solutions. You will be accountable for setting technical direction, managing and mentoring a high‑performing team, and ensuring the successful delivery of complex AI products in a regulated and data‑rich environment. This role requires a leader who is comfortable operating as a hands‑on manager and can collaborate directly with individual contributors on technical design, modeling approaches, and experimentation, while also providing strategic leadership and stakeholder partnership. You will work closely with AI/ML Ops, DevOps, data engineering, platform, governance, and literacy teams to productionalize AI solutions that are secure, reliable, and aligned with enterprise standards. The ideal candidate brings deep applied AI expertise, experience operationalizing models in production, and a strong understanding of responsible AI practices. The work location for this exciting opportunity is virtual. The selected candidate will work 100% remotely from home and can be located anywhere in the United States with a preference to work East Coast hours.

Requirements

• Bachelor’s degree in computer science, data science, quantitative social science, or a related field. Advanced degree preferred.
• Minimum 10+ years of experience in data science, machine learning, or applied AI.
• At least 5 years of experience leading and managing data science or AI teams.
• Demonstrated experience delivering both traditional ML and generative AI solutions in real‑world, production environments.
• Prior experience working closely with AI/ML Ops or DevOps teams to operationalize models is strongly preferred.
• Deep understanding of machine learning, statistical modeling, and generative AI techniques, including practical tradeoffs in applied settings.
• Hands‑on experience guiding model development, experimentation, and evaluation, even while serving in a senior leadership role.
• Solid understanding of AI/ML Ops principles, including deployment pipelines, monitoring, retraining, and risk management.
• Familiarity with enterprise data science platforms such as Databricks or Dataiku (strong plus).
• Experience collaborating in complex data ecosystems with data engineers, platform teams, and cloud infrastructure partners.
• Awareness of and experience with AI governance, responsible AI, model risk, and AI literacy concepts.
• Strong communication skills- both written and verbal, with the ability to translate complex AI concepts into clear, actionable insights for technical and non‑technical audiences.
• Proven ability to build trust with stakeholders, manage ambiguity, and lead teams through complex, high‑impact initiatives.

Nice To Haves

• A strategic and technical mind with a humanitarian heart - a strong interest in mission related work
• Experience working in Agile or product‑oriented delivery environments preferred.

Responsibilities

• Lead and manage a team of data scientists delivering AI and generative AI solutions in support of Biomedical programs and initiatives.
• Engage with Biomedical and business stakeholders to identify opportunities where AI can drive value, translate needs into technical solutions, and communicate results clearly.
• Act as a hands‑on leader by partnering directly with individual contributors on solution design, model development, experimentation, and evaluation.
• Collaborate closely with AI/ML Ops, DevOps, data engineering, and cloud infrastructure teams to apply and promote best practices, including model versioning, deployment workflows, monitoring, and lifecycle management.
• Contribute to Enterprise AI strategy by identifying emerging technologies, tools, and best practices relevant to biomedical AI use cases.
• Provide mentorship, coaching, and career development for team members while fostering a collaborative, inclusive, and learning‑oriented culture.
• Contribute to documentation, standards, and knowledge sharing across the Enterprise AI community.

Benefits

• Medical, Dental Vision plans
• Health Spending Accounts & Flexible Spending Accounts
• PTO: Starting at 19 days a year; based on type of job and tenure
• Holidays: 11 paid holidays comprised of six core holidays and five floating holidays
• 401K with up to 6% match
• Paid Family Leave
• Employee Assistance
• Disability and Insurance: Short + Long Term
• Service Awards and recognition

What This Job Offers

• Job Type: Full-time
• Career Level: Manager