As part of this evolution, GEMINI is seeking a Manager, Data Operations to lead the maintenance of its existing data pipelines and the design, development, and operation of near-real-time data workflows. This is a highly technical role requiring strong technical expertise, attention to detail, and demonstrated experience in data management. The successful candidate will bring sound strategic decision-making skills, the ability to deliver under tight timelines, and experience leading and mentoring technical teams.
Duties and Responsibilities:Strategic Planning, Data Operations and Platform Management (45%) - Lead the hands-on design, build, and operation of GEMINI on-premise data platform, with a strong focus on near-real-time ingestion from hospital data warehouses, HL7 v2 feeds, FHIR APIs, EHR/HIS interfaces, and administrative data sources.
- Oversee and actively contribute to the design and optimization of data models, source-to-target mappings, and ETL/ELT pipelines that standardize multi-site clinical data into reliable analytics-ready datasets in near-real-time.
- Provide hands-on technical leadership for the design, development and review of high-volume, near-real-time data pipelines using SQL, Python, R, PostgreSQL, and Airflow, including change detection, reruns, exception handling, and audit logging.
- Lead technical decisions on PostgreSQL schema design, indexing, partitioning, materialized views, and query optimization for large joins, high-throughput processing, and near-real-time refreshes.
- Oversee application of strong software engineering practices using GitLab, GitHub, testing, code review, CI/CD, documentation, and version control to improve reliability, maintainability, and reproducibility.
- Serve as the senior technical reviewer for architecture and platform standards, and produce and maintain architecture diagrams
- Provide detailed and comprehensive updates to program leadership on data operations, initiatives, risks, dependencies, and mitigations to inform platform roadmap and decision-making.
- Lead strategic planning for Data Operations and Analytic Services (milestones, timelines, etc.), aligning team priorities, investments, and delivery plans with program objectives.
Computational Analytical, Technical and Operational Expertise (35%) - Troubleshoot production issues including failed jobs, broken dependencies, schema drift, mapping errors, duplicate records, poor query plans, source-system anomalies, and downstream data quality failures.
- Lead interoperability design reviews, interface validation, and onboarding patterns for new hospital data sources, including HL7/FHIR conformance and integration engine considerations.
- Lead the design and development of enterprise-grade data quality controls including profiling, reconciliation, validation rules, anomaly detection, root cause investigation, and issue remediation workflows.
- Lead data pipeline research and innovation by evaluating and piloting advanced analytics and AI approaches (e.g., LLMs, RAG, clinical coding support workflows) within the near-real-time data collection pipeline, including designing and validating methods with clinicians, scientists, and researchers.
- Maintain responsibility for day-to-day operational planning, workflow monitoring, and continuous improvement to ensure data operations remain optimized, timely, and scalable.
Human Resources Management and Partnership Leadership (20%) - Lead, coach, mentor, and evaluate a multidisciplinary technical team that includes data engineers, data scientists, research staff, and software-oriented contributors.
- Maintain responsibility for recruitment, onboarding, work allocation, performance management, technical mentorship, and staff development.
- Work closely with privacy, legal, compliance, and hospital stakeholders to ensure technical solutions remain secure, compliant, and sustainable in a regulated healthcare environment.
Qualifications and Skillsets - Master's degree in a relevant field, or equivalent combination of education and experience.
- Minimum 7 years of relevant experience in data engineering, analytics, or complex data platform management, preferably in healthcare or research.
- Minimum 2 years of direct people management experience leading technical teams.
- Strong experience building and managing large-scale data platforms and ETL/ELT workflows.
- Proficiency in SQL, Python, R, and PostgreSQL.
- Experience with Airflow, GitLab/GitHub, CI/CD, testing, and code review.
- Experience with hospital or other complex multi-source data environments; HL7/FHIR experience is an asset.
- Strong knowledge of data modeling, data quality, privacy, and regulated data workflows.
- Proven project management, stakeholder management, and leadership reporting skills to support roadmap planning and decision-making.
- Excellent communication, problem-solving, and organizational skills.
As part of our recruitment process, automated tools may be used to assist in the initial review of application materials.
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