Pharmacy Analytics and Decision Support Principal

Responsibilities

• Shaping and leading the Analytics & Decision Support function, defining how data drives our Professional Services strategy.
• Turning ideas into scalable, tech-enabled solutions—automating processes to improve speed, accuracy, and impact.
• Delivering meaningful insights that help clients optimize performance, reduce costs, and make better decisions.
• Partnering with Product, Engineering, and Delivery teams to embed analytics into everything we do—and influence what we build next.
• Creating tools, frameworks, and processes that scale across customers and unlock new value.
• Building and leading a high-performing team, championing innovation and a data-driven culture.

Requirements

• 7+ years in analytics, data strategy, or decision support within healthcare, pharmacy, or SaaS.
• 5+ years leading data or analytics teams.
• Experience driving automation, efficiency, and operational improvements.
• Proven success working in cross-functional, matrixed environments.
• Bachelor’s degree required; advanced degree preferred.
• Apexus 340B ACE Certification preferred (or willingness to obtain within 12 months).
• Strong expertise in healthcare analytics, including 340B, pharmacy operations, and financial models.
• Experience working with healthcare data ecosystems (e.g., claims, dispensing, purchasing, EHR integrations).
• Proven track record of building and scaling analytics or data functions.
• Technical proficiency with data platforms, BI tools (Power BI, Qlik), and automation technologies.
• Ability to translate business needs into scalable, data-driven solutions.
• Advanced analytical thinking with a focus on delivering actionable insights.
• Strong leadership and stakeholder management skills, with the ability to influence across teams.
• Congfident communicator, able to translate complex data into clear, executive-level insights.

Qualifications

Commensurate with experience.

Skills

Not specified.

Benefits

N/A

Schedule

N/A

Pay

TBD