Data Science & AI Manager -

Job Title: Data Science & AI Manager Location: Charlotte, NC - Hybrid (3days onsite) Duration: Long Term Key Responsibilities Agentic AI Strategy & System Orchestration • Lead the strategy, architecture, and implementation of agentic AI systems for Healthcare Digital. • Design and manage MCP servers that provide structured, secure tool access for AI agents across platforms including meal ordering, food production, and EVS task management. • Build multi-agent systems with clear roles—e.g., planning agents, QA agents, data-retrieval agents, and operational copilots—that collaborate to support healthcare workflows. • Develop governance and routing layers that enable AI agents to safely execute tasks, call tools, generate recommendations, and interact with structured operational data. Product Intelligence & Embedded AI Agents • Integrate agent-driven capabilities into Healthcare Digital’s platforms: • Patient Meal Ordering: agentic nutrition checks, dietary rule enforcement, personalized recommendations. • Food Production: prep-planning agents, demand forecasting agents, and waste-reduction optimization loops. • EVS Task Management: task-ranking agents, routing agents, and real-time environmental monitoring copilots. • Build AI copilots for associates and managers that support decision-making, reduce administrative load, and automate repetitive tasks. • Ensure AI agents interact seamlessly with UI workflows, APIs, product logic, and underlying data systems. Operational Data Science & Automation • Build and deploy predictive models that feed agent decision-making, including: • Meal demand forecasting • EVS task prediction and prioritization • Labor and staffing optimization • Anomaly detection for operational issues • Integrate model outputs with MCP-based agents to create closed-loop automation—agents that both detect and act, not just analyze. • Translate findings into usable insights, dashboards, and operational recommendations for field teams. Leadership & Cross-Functional Collaboration • Coach and mentor a team of data scientists, ML engineers, and AI engineers focused on agent development and MCP integration. • Partner with Healthcare Leadership (Culinary, EVS, Clinical Nutrition, Operations) to drive AI adoption and prioritize high-value opportunities. • Collaborate with IT, and enterprise AI teams to align on architecture, security, and platform standards. • Communicate complex AI and agent-based system concepts to non-technical stakeholders in clear, practical language. Data, Governance & Responsible AI • Ensure all AI and agent systems adhere to governance frameworks, including privacy, compliance, and HIPAA. • Establish monitoring, auditability, and retraining workflows for both models and agents. • Implement agent safety controls, including sandboxed tool access, role-based permissions, and fallbacks for critical tasks. Qualifications Required • Bachelor’s degree in a relevant field or equivalent professional experience. • 6+ years of experience in data science, AI engineering, or applied ML, including 2+ years of team leadership or technical management. • Hands-on experience building agentic AI systems, including: • Multi-agent workflows • Tool-using agents • Planning/monitoring agents • Strong experience with MCP servers or similar agent integration frameworks (e.g., LangChain tools, AutoGen, OpenAI tool calling). • Proficiency in Python, SQL, ML frameworks (PyTorch, TensorFlow, scikit-learn). • Experience with cloud data and compute platforms (Azure, Databricks, AWS, or GCP). • Strong understanding of LLMs, RAG pipelines, structured tool protocols, and knowledge graph integration. • Excellent communication, stakeholder partnership, and product-oriented thinking. Preferred • Experience with healthcare, foodservice, hospitality, or operational environments. • Familiarity with IoT data streams, workforce management systems, or real-time task operations. • Background in optimization, reinforcement learning, or continuous planning agents.