Pharmacy Data Science and Automation Team Coordinator

Pharmacy Data Science Platform Manager

Reports to the Manager Outcomes and Impact.

Core purpose: Responsible for the strategic development, implementation, and maintenance of pharmacy data science platforms, business information systems, and automation technologies across Brown University Health Pharmacy Services.

Technology roadmap & initiatives: Provides advanced systems analysis and data science leadership for projects, applications, and solutions in support of the Pharmacy technology roadmap, enterprise-wide initiatives, and business-funded programs.

Delivery accountability: Directly accountable for effective, high-quality, and timely analysis and project delivery.

People leadership support: Supports the Director and Manager, Pharmacy Medication Safety, Quality, and Informatics, in performance management and goal development for team members in alignment with the Brown University Health strategic plan.

User consultation & support: Provides expert consultation and ongoing support for information system users across disciplines including Pharmacy, Nursing, and Medical Staff.

Enterprise integration: Coordinates integration of medication-related systems with Information Services and enterprise technology partners.

Compliance & quality: Ensures Pharmacy systems are developed and maintained in accordance with established policies, procedures, and applicable laws, rules, and regulations; monitors Pharmacy systems through continuous quality improvement activities to ensure stakeholder expectations are consistently met or exceeded.

Risk & audit support: Assists in auditing and risk analysis of Pharmacy systems to ensure Brown University Health enterprise requirements are met.

Policies & procedures: Participates in the development and implementation of Pharmacy policies and procedures.

Regulatory readiness: Provides essential Pharmacy data and analytics in support of accreditation and regulatory requirements.

Brown University Health employees are expected to successfully role model the organization's values of Compassion, Accountability, Respect, and Excellence as these values guide our everyday actions with patients, customers and one another.

In addition to our values, all employees are expected to demonstrate the core Success Factors which tell us how we work together and how we get things done. The core Success Factors include:

• Instill Trust and Value Differences
• Patient and Community Focus and Collaborate

Principal duties and responsibilities:

• Implements, interprets, and provides expert consultation on policies, procedures, and standards of practice for the effective use, maintenance, and governance of Pharmacy information systems, data platforms, and automation technologies.
• Continuously reviews and evaluates systems architecture, recommending and implementing software, hardware, and platform upgrades; evaluates and responsibly adopts emerging technologies that enhance pharmacy efficiency, patient safety, and service delivery.
• Leads the design, development, and ongoing governance of the Pharmacy's data science program, including statistical learning models, predictive analytics, and artificial intelligence tools to support clinical and operational decision-making.
• Ensures the ethical, responsible, and compliant application of machine learning (ML) and artificial intelligence (AI) tools in pharmacy operations, adhering to organizational and regulatory frameworks for AI governance and patient safety.
• Develops and maintains programs, information systems, and automation workflows to enhance medication safety, streamline operations, track clinical activities, and improve inter- and intra-departmental communication.
• Extracts, transforms, and integrates data from diverse file formats and information systems to develop consolidated, actionable reports and dashboards supporting operational and clinical intelligence needs.
• Develops and maintains interactive, web-based databases and data visualization tools for monitoring, querying, reporting, and managing pharmacy data and project deliverables.
• Programs, monitors, and manages automated workflows and reporting tools; creates data integrity monitoring tools and takes appropriate corrective action as warranted.
• Formulates and defines system scope and project objectives based on stakeholder-defined needs; devises or modifies procedures to solve complex problems with consideration of system capacity, constraints, operating requirements, and desired outcomes.
• Coordinates the integration of Pharmacy information systems and technologies with enterprise platforms, including EHR/CPOE systems, automated dispensing systems, and cloud-based solutions, as well as with other affiliates and external agencies.
• Provides input and assists in the development of effective budgeting and allocation of resources including people, financial, material, and equipment to achieve agreed-upon goals and objectives. Assists in development of systems and databases to support ongoing analysis of salary and non-salary expense and revenue allocation.
• Participates in the development of short- and long-term Pharmacy goals in alignment with Brown University Health's mission, values, and key business objectives; identifies and recommends resources required to achieve operational results.
• Leads and facilitates weekly team meetings to review, prioritize, and manage projects and operational objectives; fosters a collaborative team environment in which members are empowered to do their best work.
• Provides functional guidance, input, and direction to Business Operations and Automation personnel in collaboration with the Manager, Pharmacy Medication Safety, Quality, and Informatics.
• Assists the Manager, Pharmacy Medication Safety, Quality, and Informatics in yearly performance appraisals for team members, providing structured feedback on work performance and input on future professional development objectives.
• Coordinates with Pharmacy business partners to identify and specify complex business requirements and processes; participates in application design, testing, and implementation; clearly documents and communicates system changes to stakeholders while maintaining strong ongoing relationships with business and systems partners.
• Develops and maintains supporting tools and data infrastructure for the 340B Drug Discount Program, providing reporting and data necessary to ensure program compliance; assists 340B Coordinators with self-monitoring analysis.
• Provides Pharmacy data, analytics, and reports necessary to meet the requirements of accreditation and regulatory bodies including The Joint Commission (TJC), URAC, and the Rhode Island Board of Pharmacy.
• Applies systems analysis techniques and procedures, including consulting with users to determine hardware, software, or system functional specifications.
• Participates in continuous quality improvement (CQI) activities and total quality management (TQM) initiatives; participates in or leads committees, task forces, and performance improvement teams as assigned.
• Assists pharmacy personnel in the preparation of posters, abstracts, and manuscripts for presentation at professional meetings and for publication in peer-reviewed journals; assists Pharmacy Business Operations and Automation Specialist personnel in maintenance of the Pharmacy web presence.
• Maintains current expertise in leading-edge developments in pharmacy informatics, data science, automation, and responsible AI through ongoing professional development, independent study, and professional affiliations.
• Supports all hospital and retail Pharmacy departments across Brown University Health with pharmacy systems integration and data extraction needs.
• Participates in the on-call rotating schedule for the Pharmacy Technology and Systems group.
• Occasional travel between facilities or sites is required.
• Performs other duties as assigned.

Minimum qualifications:

Basic knowledge:

Required

• Bachelor's degree in Computer Science, Data Science, Health Informatics, Biomedical Informatics, Business Administration, or a related field.

Preferred

• Master's degree in Data Science, Health Informatics, Biomedical Informatics, or a related advanced discipline.

Knowledge and familiarity:

• Working knowledge of pharmacy information systems, automated dispensing technologies, database architecture, and enterprise data platforms.
• Familiarity with healthcare regulatory and accreditation standards including The Joint Commission (TJC), URAC, and the Rhode Island Board of Pharmacy.
• Understanding of responsible AI/ML governance frameworks and applicable healthcare data privacy regulations (e.g., HIPAA).
• Familiarity with cloud-based data infrastructure platforms (e.g., Microsoft Azure, AWS, Google Cloud, Snowflake) is increasingly expected for roles of this level and is recommended as a preferred qualification.

Experience:

• Minimum of five (5) years of progressively responsible, related experience, preferably gained in a similarly diverse and operationally complex health care environment.
• Demonstrated expertise in database architecture and querying languages (e.g., SQL, NoSQL).
• Proficiency in advanced programming languages (e.g., Python, R) and scripting or workflow automation tools.
• Experience with statistical learning models and machine learning methodologies, including design, training, validation, and implementation (e.g., logistic regression, multi-level modeling, neural networks).
• Experience with large language model (LLM) integration or generative AI applications in clinical or operational pharmacy settings is an emerging and recommended preferred qualification for this role level.
• Demonstrated experience designing ethical and responsible machine learning and artificial intelligence solutions in a healthcare or regulated environment.
• Experience with data visualization and business intelligence platforms (e.g., Tableau,