Senior Director, Data and AI Architecture

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 201-500Since 1996H1B No SponsorCompany Site LinkedIn

Location

California

Posted

174 days ago

Salary

$261K - $289K / year

Bachelor Degree8 yrs expEnglishAmazon RedshiftAWSCloudETLPMPPythonSQL

Job Description

• 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

Job 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

Benefits

Stock equity awards
Participation in Company’s discretionary annual bonus program
Full range of health and welfare insurance benefits
401(k) company match
Paid time off benefits
17 paid holidays in 2025
Highly flexible work environment (remote-first, with in-person meetings as needed)