Responsibilities:
- Leadership & Strategy:
- Lead the overall strategy and execution of the data engineering function to support organizational goals in data analytics, AI, and machine learning.
- Collaborate with the CAO to ensure data infrastructure aligns with the company’s healthcare analytics strategy and innovation goals.
- Provide technical leadership in the design and development of scalable data platforms, ensuring they support real-time and batch processing.
- Data Infrastructure & Architecture:
- Design, implement, and maintain large-scale healthcare data pipelines and architectures to ensure efficient data collection, transformation, and storage.
- Architect cloud-based and on-premise data solutions that support the organization’s analytics needs.
- Ensure the data architecture is optimized for both structured and unstructured healthcare data, including EHR/EMR, claims data, genomics, and patient-reported data.
- Utilize Big Data Technologies for storage and real-time analytics
- Team Leadership & Development:
- Build, mentor, and lead a team of data engineers, fostering a culture of collaboration, innovation, and continuous learning.
- Ensure the team follows best practices in coding, data management, and software development life cycles.
- Set clear goals and performance metrics for the data engineering team, managing resources and budgets to meet departmental objectives.
- Data Governance & Compliance:
- Ensure the integrity, security, and availability of data across the organization, in compliance with healthcare regulations such as HIPAA, GDPR, and other applicable standards.
- Implement robust data governance frameworks and policies to ensure data quality, accuracy, and lineage.
- Collaboration & Stakeholder Engagement:
- Collaborate with the Chief Information Officer (CIO), data scientists, business analysts, and other key stakeholders to ensure the data platform meets the evolving needs of the organization.
- Work closely with clinical and operational teams to understand data requirements and ensure data solutions deliver actionable insights.
- Partner with vendors and external stakeholders for integration of third-party data solutions and tools.
- Innovation & Continuous Improvement:
- Stay updated on emerging technologies and industry trends, ensuring the organization remains at the forefront of healthcare data engineering innovations.
- Drive continuous improvement initiatives to optimize the performance, cost-efficiency, and scalability of data systems.
- Lead the development of data automation processes to streamline workflows and improve operational efficiencies.
Education:
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field (Master’s preferred).
- 10 years of experience in data engineering, with at least 5 years in a leadership or executive role within the healthcare industry.
Complexity of Work:
- Strong financial/budgeting, project management and people management skillsÂ
- Excellent strategic thinking, problem-solving and decision-making abilitiesÂ
- Expertise in process optimization, governance design and change managementÂ
- Proficiency in data analysis, visualization and insight translationÂ
- Outstanding communication, leadership and stakeholder engagement talentsÂ
Work Experience:
- 10 years of progressive experience with technology in healthcareÂ
- Deep understanding of healthcare technology landscape and digital transformationÂ
- Experience in clinical informatics, health systems, or healthcare providers.
Familiarity with and able to architect and design scalable, security and efficient data systems utilizing the following:
- Familiarity with healthcare interoperability standards such as FHIR and HL7.
- Experience with ETL tools (eg. ADF, DBT, Informatica)
- Traditional databases as well as graph databases.
- Experience with Cloud platforms such as Azure Data lake, Snowflake, Databricks.
- In-depth understanding of healthcare data types (EHR, claims, genomics, etc.) and industry regulations (HIPAA, HITECH, etc.).
- Data governance & security tools for example, Informatica Axon, Reltio, etc…
- ML and AI infrastructure utilizing tools such as TensorFlor, PyTorch, MLflow, Kubeflor and Databricks.
- CI/CD & DevOps Tools for Data:
- Data Versioning and Lineage Tools such as DVC (Data Version Control)
Physical Requirements:
- Ability to perform work in a stationary position for extended periods.
- Ability to travel throughout the hospital system.
- Ability to operate a computer and other office equipment.
- Ability to communicate and exchange accurate information.
Personal Protective Equipment:
- Follow standard precautions using personal protective equipment as required.
Pay Range
Minimum hourly: $72.70
Maximum hourly: $143.58
The pay range displayed on this job posting reflects the anticipated range for new hires. While the pay range is displayed as an hourly rate, Cleveland Clinic recruiters will clarify whether the compensation is hourly or salary. A successful candidate’s actual compensation will be determined after taking factors into consideration such as the candidate’s work history, experience, skill set, and education. This is not inclusive of the value of Cleveland Clinic’s benefits package, which includes among other benefits, healthcare/dental/vision and retirement.
Decisions concerning employment, transfers and promotions are made upon the basis of the best qualified candidate without regard to color, race, religion, national origin, age, sex, sexual orientation, marital status, ancestry, status as a disabled or Vietnam era veteran or any other characteristic protected by law. Information provided on this application may be shared with any Cleveland Clinic Health System facility.
Please review the Equal Employment Opportunity poster
Cleveland Clinic Health System is pleased to be an equal employment employer: Women / Minorities / Veterans / Individuals with Disabilities
The policy of Cleveland Clinic Health System and its system hospitals (Cleveland Clinic Health System) is to provide equal opportunity to all of our caregivers and applicants for employment in our tobacco free and drug free environment. All offers of employment are followed by testing for controlled substance and nicotine. All new caregivers must clear a nicotine test within their 90-day new hire period. Candidates for employment who are impacted by Cleveland Clinic Health System’s Smoking Policy will be permitted to reapply for open positions after one year.
Cleveland Clinic Health System administers an influenza prevention program. You will be required to comply with this program, which will include obtaining an influenza vaccination on an annual basis or obtaining an approved exemption.