Job Specifications
Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we're redefining what it means to age confidently and independently.
We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose.
About The Role
We are seeking a highly strategic and execution-focused Director of Data Science and AI Automation to lead our data intelligence, machine learning, reporting, and automation ecosystem. This role will own the full lifecycle of data-driven decisioning, from ML model development to real time reporting to process automation using tools like n8n, Make.com, Azure Functions, and vibe-coding frameworks.
You will oversee a multidisciplinary team spanning Data Science, Analytics Engineering, Automation Engineering, and ML Ops. You will partner closely with Engineering, Product, Operations, and Executive Leadership to build scalable, intelligent capabilities that directly improve business outcomes, drive automation, and enable AI powered experiences across the organization.
Key Responsibilities
Data Science & Machine Learning
Lead end to end development of predictive models, personalization engines, risk scoring, forecasting, and optimization frameworks
Oversee ML architecture, feature stores, pipelines, model retraining, validation, monitoring, and governance
Implement production grade ML Ops aligned with real time decisioning layers (Azure, Databricks, event-driven triggers, IOE)
Build a roadmap for intelligent automation and generative AI powered capabilities
Analytics, Reporting & BI
Own the reporting and analytics stack across the company (Power BI, Snowflake, Databricks, APIs, data ingestion)
Deliver executive dashboards, operational reporting, forecasting tools, and KPI measurement frameworks
Partner with Data Engineering to define data models, semantic layers, governance, quality checks, and observability
Automation & Workflow Orchestration
Lead design and deployment of automation initiatives using n8n, Make.com, Azure Logic Apps, Zapier, and custom Python workflows
Automate high value internal workflows across Operations, Care, Sales, Finance, and Engineering
Implement "vibe coding" automations, lightweight, rapid build, human in the loop AI automations that accelerate internal productivity
Drive adoption of event driven and AI-assisted process automation frameworks
Leadership & Strategy
Build and mentor a high-performing team of data scientists, ML engineers, BI analysts, and automation developers
Establish standards for experimentation, documentation, reproducibility, and operational excellence
Own the cross-company AI/automation roadmap, prioritization, resource planning, and execution
An advisor to executives on data strategy, AI capabilities, automation opportunities, and business impact
Qualifications
8+ years of experience in Data Science, ML, Analytics, or Automation roles, with at least 4+ years in leadership
Expertise in ML frameworks (Python, sklearn, PyTorch/TF, Databricks ML), modern BI environments, and automation tools (n8n, Make.com, Logic Apps, Airflow)
Strong understanding of cloud ecosystems, Azure preferred (Event Hub, Service Bus, Functions, Databricks, APIM)
Experience building automation and AI-powered workflows across operational departments
Proven record of owning a multi discipline team and delivering measurable business results
Excellent communication, stakeholder management, and executive facing leadership skills
Experience with generative AI, LLM integration, agentic workflows, or orchestration platforms
Strong understanding of data governance, compliance, security, and ML monitoring
Domain experience in healthcare, insurance, IoT, or consumer products is a plus
Candidates must be authorized to work in the United States without current or future need for visa sponsorship
Must have the ability to work from our Philadelphia office on Tuesdays and Wednesdays
Benefits
Health Care Plan (Medical, Dental & Vision)
Paid Time Off (Vacation, Sick Time Off & Holidays)
Company Paid Short Term Disability and Life Insurance
Retirement Plan (401k) with Company Match