The Director, Data Analytics Engineering plays a strategic leadership role in building and scaling Empower Pharmacy's enterprise-wide data analytics platform to drive operational excellence, informed decision-making, and healthcare innovation. This Information Technology (IT) leader oversees high-performing teams, develops best practices for data engineering, and integrates advanced analytics into business workflows. By fostering cross-functional collaboration, ensuring regulatory compliance, and applying sound judgment and innovation, the Director enables Empower to transform into a data-first, patient-centered organization.

• Defines and executes the data engineering and analytics roadmap aligned with business strategy, operational goals, and regulatory frameworks including the Health Insurance Portability and Accountability Act and Food and Drug Administration requirements.
• Leads the end-to-end architecture, deployment, and continuous optimization of scalable, secure cloud and on-premise data ecosystems, integrating complex structured and unstructured data from diverse internal and external sources.
• Recruits, develops, and manages a high-performing team of data engineers and analytics professionals, cultivating a culture of technical excellence, innovation, and cross-functional collaboration to drive enterprise-wide data maturity.
• Collaborates with Legal, Human Resources, Compliance, IT, and business stakeholders to convert operational pain points into scalable, data-driven strategies that enhance efficiency, compliance, and organizational performance.
• Leverages cutting-edge artificial intelligence (AI) and machine learning (ML) frameworks to automate and modernize data workflows, accelerate time-to-insight, and enable data-informed decision-making across pharmacy operations, finance, supply chain, and patient experience initiatives.

While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. The employee is regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.

• Possesses deep expertise in modern data stack technologies, with hands-on experience using platforms such as Snowflake, Databricks, Amazon Web Services (AWS), and Microsoft Azure, along with proficiency in Structured Query Language (SQL) and NoSQL databases, Apache Airflow, data build tools, and Python to support scalable data infrastructure and analytics initiatives.
• Demonstrates a strong command of data governance principles, privacy regulations, and security frameworks, with a proven track record of deploying and operationalizing AI and ML models in highly regulated, performance-driven environments.

Key Competencies

• Customer Focus: Ability to build strong customer relationships and deliver customer centric solutions.
• Optimizes Work Processes: Know the most effective and efficient processes to get things done, with a focus on continuous improvement.
• Collaborates: Builds partnerships and works collaboratively with others to meet shared objectives.
• Resourcefulness: Secures and deploys resources effectively and efficiently.
• Manages Complexity: Makes sense of complex, high quality, and sometimes contradictory information to effectively solve problems.
• Ensures Accountability: Holds self and others accountable to meet commitments and objectives.
• Situational Adaptability: Adapts approach and demeanor in real time to match shifting demands of different situations.
• Communicates Effectively: Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences.

Values

• People: Our people define who we are as a company, and we believe that understanding and addressing the needs of our team, clients, and community is fundamental to fostering a culture of support and growth.
• Quality: Quality stands at the core of our mission, reflecting our commitment to excellence in every medication we produce.
• Service: We are here to serve others. Every interaction with our patients, providers, employees and other stakeholders comes from a place of service.
• Innovation: By continuously exploring new methodologies and embracing technology, we ensure that every solution we offer is at the forefront of pharmaceutical care.

• Minimum of 12 years of experience in data engineering, data architecture, or analytics roles, with at least 8 years in a leadership capacity within healthcare, life sciences, or regulated industries.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field required; Master’s degree or Master of Business Administration strongly preferred.
• Microsoft Certified: Azure Solutions Architect Expert (MC:AZ-305), AWS Certified Data Analytics – Specialty (AWS:DAS-C01), or equivalent industry-recognized certifications.

We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/