Director of Data & Analytics

Job Description

At VPL, we deliver visibility and resiliency to clinical supply chains. By making the procurement-through-fulfillment processes smarter and more profitable, it creates a new supplier dynamic whereby customers benefit from reduced costs, better insights, and increased transparency and efficiency.

We developed the industry’s only Smart Supply Chain Platform, which automates inbound and outbound shipping, unlocks visibility into the status of critical shipments, and identifies cost-savings opportunities for all of healthcare including IDNs, critical access, outpatient and pharmacy.

With more than 700 hospitals, 6,000+ suppliers, and a 97% customer retention rate, it’s clear that VPL is the company the healthcare industry trusts to deliver savings, insights and peace of mind.

We are looking for a highly motivated and experienced Director of Data & Analytics to lead our data strategy and drive innovation. The ideal candidate will have a deep understanding of data science, analytics, and healthcare logistics, with a proven track record of driving data-driven decision-making and innovation.

• Strategic Leadership:
  • Develop and execute a comprehensive data strategy aligned with company goals.
  • Identify and prioritize data initiatives to drive business growth and efficiency.
• Team Management:
  • Lead, mentor, and grow a high-performing team of data scientists, analysts, and data engineers.
  • Foster a culture of continuous learning and professional development.
• Data
  
  Infrastructure:
  • Oversee the design, development, and maintenance of scalable data architectures, data warehouses, and data lakes.
  • Ensure data quality, accuracy, integrity, security, and compliance with relevant regulations (e.g., HIPAA).
• Analytics & Insights:
  • Develop and implement advanced analytics, machine learning models, and business intelligence solutions to uncover actionable insights.
  • Translate complex data findings into actionable recommendations for product development, marketing strategies, and operational improvements.
• Collaboration:
  • Work closely with cross-functional teams, including product management, engineering, operations, and sales, to integrate data insights into product offerings and business processes.
  • Partner with external vendors and data providers as needed.
• Customer Focus:
  • Engage with key customers to understand their data needs and ensure our solutions meet their expectations.
  • Advocate for the use of data to improve customer experience and outcomes.
• Innovation:
  • Stay abreast of industry trends, emerging technologies, and best practices in data and analytics.
  • Identify and implement innovative solutions to keep our products and services competitive.
• Performance Monitoring:
  • Establish key performance indicators (KPIs) and metrics to measure the success of data initiatives.
  • Regularly report on data performance to stakeholders.

• Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, or a related field (PhD is a plus).
• 10+ years of experience in data and analytics roles, with at least 5 years in a leadership position.
• Proven track record of building and scaling data teams and delivering impactful results.
• Experience in healthcare logistics, freight audit and pay, or a related field is highly desirable.
• Proficiency in data analysis tools (SQL, Python, R), data visualization tools (Tableau, Power BI), and data engineering technologies (Hadoop, Spark).
• Demonstrated experience with machine learning and artificial intelligence applications; ability to design, develop, and implement ML models to solve complex business problems and improve decision‑making processes.
• Experience with cloud computing platforms (AWS, Azure, Google Cloud) and cloud‑based data warehousing platforms such as Snowflake and Google Big Query.
• Proven ability to lead and inspire a team.
• Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels.
• Strong analytical and problem‑solving skills.
• Ability to think strategically and translate complex data into actionable insights.
• Knowledge of data privacy laws and regulations, particularly in the healthcare industry (HIPAA).