Placeholder - Data Champion Grade 10
About The Position
The Data Champion will support the PES department’s databases and digitalization efforts, making data usable and useful. The role will help enable raw data to flow from instruments into databases for analysis. It will architect domain-driven data models, curated datasets, and integration patterns across data lakes, laboratory systems, and analytical tools, while enabling self-service visualization. The position will drive data quality, lineage, metadata, data catalog standards, and platform patterns in partnership with other departments, especially Research IT. The role also partners with IT teams on a central data platform, develops data governance and master data strategies, and works with platform owners and laboratory teams on compliant, scalable LIMS/ELN solutions. As overall product manager and program lead, it defines the PES roadmap and continuous delivery approach using Scaled Agile Frameworks. The Data Champion collaborates with PES functional leads and data experts, conducts design reviews, mentors scientists and developers, expands database capabilities with Research IT, and curates data for machine learning.
Responsibilities
- Define harmonized data models for PES entities, including samples, assays, lots, batches, instruments, and methods.
- Partner with IT teams to advance a central data platform such as the Research Data Lake.
- Establish data catalog and metadata standards and reference/master data strategies.
- Partner with platform owners and laboratory teams to model experiment workflows and capture structured data at source.
- Support compliant, scalable laboratory platforms, including Sapio, Benchling, and Dotmatics.
- Act as overall product manager and program lead; define the PES roadmap and a continuous delivery mechanism using Scaled Agile Frameworks.
- Co-create roadmaps with PES functional leads and department data experts.
- Conduct design reviews and mentor scientists and developers.
- Design and implement code and expand the function of databases used with Research IT.
- Curate data for machine learning.
Benefits
- Competitive and comprehensive total rewards package, which may include annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, medical, dental, vision, life and disability insurance, paid time off, and family support benefits.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
