Engineering Manager, Data & AI
ChowNow
Amazon RedshiftAWSETLGoogle Cloud PlatformKafkaPythonPyTorchSDLCSparkTensorflow
Senior Director, Data and AI Architecture
Dynavax Technologies
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteSalary
💰 $261,000 - $289,000 per year
Job Level
Senior
Tech Stack
Amazon RedshiftAWSCloudETLPMPPythonSQL
About the role
- Central accountability to implement responsible Data and AI practices that comply with evolving regulations (e.g. GDPR; EU AI Act or Industry standards) and Dynavax ethical principles
- Lead efforts to streamline data processes, improve data quality and consistency, and enable more efficient analytical capabilities across the organization
- Build an AI-ready data foundation that allows leveraging machine learning and artificial intelligence to enhance business decision-making across all domains
- Advise the Dynavax Data and AI committee on AI solutions, investments and benefit analysis (e.g. ROI)
- Work collaboratively across the business and IT and demonstrate excellent communication and stakeholder management skills
- Help improve data and AI literacy across the organization
- Design and implement a robust data ecosystem that supports business-wide processes and digital transformation
- Play a key role in the strategic cloud migration initiative to transform enterprise data architecture into a modern, cloud-native ecosystem
Requirements
- Bachelor’s degree in computer science, engineering, or related technical field
- Master\u2019s degree preferred
- 8+ years of experience in enterprise data architecture or systems design
- Strong knowledge of AI operating model and data governance, lineage, and metadata management principles
- Ability/experience to establish data governance councils, stewardship, and quality frameworks
- Proven experience with large-scale data migration projects and cloud transformation
- Deep understanding of enterprise architecture frameworks and methodologies
- Familiarity with data operability standards (HL7/FHIR; CDISC; OMOP)
- Strong technical background in database platforms (Databricks; Snowflake; Amazon Redshift)
- Understanding of cloud architecture principles (AWS preferred)
- Enterprise systems architecture
- AWS and cloud technologies
- Data modeling and design
- Data lineage and governance tools
- ETL/ELT processes
- Big data and analytics platforms
- Financial risk systems and methodologies
- Programming knowledge (Python, SQL, etc.)
- DevOps and CI/CD principles
- Knowledge graph and semantic web technologies
- Machine learning operations (MLOps)
- AI-focused data catalog tools
- Schema registry and metadata management systems
- Feature store architecture for machine learning
- Ability to influence executives and translate complex technical concepts for non-technical stakeholders
- Ability to sit for prolonged periods; reach with arms and hands; lift and move small objects; use hands to keyboard and perform other office related tasks including repetitive movement of the wrists, hands and/or fingers
- Occasional travel required
- Life Sciences/Pharma/Biotech experience preferred (additional, not required)
- Cloud platform certifications (AWS Certified Solutions Architect) preferred
- Enterprise Architecture certifications (TOGAF, Zachman) preferred
- Data Management certifications (CDMP, DAMA) preferred
- Project/Program Management certifications (PMP, Prince2, Agile/Scrum) preferred
- AI/ML certifications or specialized training preferred
- Familiarity with global requirements like GDPR, NIS2, EU AI Act preferred
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