Director, Data & Information Architecture
About The Position
Pivot Bio is seeking a Director, Data & Information Architecture to define and steward the enterprise information backbone connecting Product Innovation, Agronomy, Manufacturing, Commercial, and Digital products. The role establishes canonical data models, domain boundaries, data contracts, lineage standards, and governance patterns to enable trustworthy, decision-grade data across the enterprise. The position focuses on information architecture rather than traditional platform architecture. It designs durable semantic models, traceability frameworks, and evidence systems to support product performance analysis, scientific discovery, operational execution, and AI-enabled decision making. The Director will lead enterprise information architecture strategy, data modeling, Lakehouse modeling in Databricks, and governance practices, while partnering across business and technical teams. The role also provides a phased architecture roadmap for modernizing and migrating existing data assets.
Requirements
- At least 10 years in Data Architecture, Information Architecture, or Enterprise Data Modeling.
- Deep expertise in conceptual, logical, and physical data modeling.
- Experience with canonical modeling, Data Vault, metadata management, MDM, and lineage.
- Hands-on experience with Databricks, Snowflake, or modern Lakehouse platforms.
- Strong SQL skills and ability to validate models directly against data.
- Demonstrated ability to balance governance rigor with pragmatic execution.
- Must be authorized to work in the United States.
Nice To Haves
- Experience in regulated, scientific, manufacturing, healthcare, life sciences, or evidence-sensitive environments.
Responsibilities
- Define canonical enterprise data models across R&D, Agronomy, Manufacturing, Commercial, and Digital domains.
- Establish domain ownership, data contracts, lineage, and reconciliation standards.
- Design logical and physical Lakehouse models supporting Silver and Gold layers.
- Create traceable, reproducible evidence systems for scientific and commercial decision making.
- Provide a phased architecture roadmap for modernization and migration of existing data assets.
- Enable trustworthy AI and analytics through strong semantic foundations.
- Own enterprise information architecture strategy and standards.
- Design canonical models, master data relationships, and cross-domain integration patterns.
- Define semantic standards for observations, results, recommendations, outcomes, and evidence.
- Lead logical and physical data modeling efforts within Databricks Lakehouse.
- Establish metadata, lineage, versioning, and traceability frameworks.
- Partner with Product, Engineering, Data Science, Manufacturing, and Commercial teams to translate business requirements into durable data models.
- Review architecture designs and validate implementations through hands-on modeling, SQL analysis, and proof-of-concept work.
- Drive data governance practices focused on quality, stewardship, reproducibility, and trust.
Benefits
- Incentive Bonus Plan
- Competitive package in a disruptive startup
- Stock options
- Health, dental, and vision insurance with employer-paid premiums
- Life, Short-Term and Long-Term Disability policies
- Employee Assistance Program with free referrals and discounts
- 401(k) plan with 3% match
- Commuter benefits
- Annual Training & Development support
- Flexible vacation policy with a generous holiday schedule
- Opportunity to work with a talented and fun team
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
Director
Education Level
No Education Listed
