Director of Data Science and AI Automation

Medical Guardian•Philadelphia, PA

13d•Hybrid

About The Position

We are seeking a highly strategic and execution-focused Director of Data Science, Analytics and 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.

Requirements

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.
Strong understanding of data governance, compliance, security, and ML monitoring.
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.

Nice To Haves

Experience with generative AI, LLM integration, agentic workflows, or orchestration platforms.
Domain experience in healthcare, insurance, IoT, or consumer products is a plus

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.