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Director, Data Analytics Engineering (Houston)

Director, Data Analytics Engineering (Houston)

Empower PharmacyHouston, TX, US
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Director, Data Analytics Engineering

Overview

  • 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.
  • Responsibilities
  • Possesses deep expertise in modern data stack technologies, specifically :
  • Hands-on experience Snowflake, Databricks, Amazon Web Services (AWS), and Microsoft Azure
  • Proficiency in Structured Query Language (SQL) and NoSQL databases, Apache Airflow, data build tools
  • Uses 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
  • Operationalize 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.
  • Qualifications
  • At least 12 years of experience in data engineering, data architecture, or analytics roles
  • At least 8 years in a leadership capacity
  • Healthcare, life sciences, or regulated industries experience
  • Education
  • At least Bachelors degree in Computer Science, Engineering, Mathematics, or a related field required
  • Masters degree or Master of Business Administration preferred
  • Certifications Preferred, Not Required
  • Microsoft Certified : Azure Solutions Architect Expert (MC : AZ-305)
  • AWS Certified Data Analytics Specialty (AWS : DAS-C01)
  • Or equivalent industry-recognized certifications

    • Candidates must meet the required years of experience at scale with one or more of the listed technologies.

    USC or GC candidates only.

    Not an OJT opportunity.

    No sponsorships.

    No agencies.

    No Corp-to-Corp.

    No contracts.

    No 1099.

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    Director Data Engineering • Houston, TX, US

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