Senior Director, Data and AI Architecture

Job not on LinkedIn

September 24

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $261k - $289k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Dynavax Technologies

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Biotechnology • Pharmaceuticals

Dynavax Technologies is a commercial-stage biopharmaceutical company focused on developing and commercializing novel vaccines to combat infectious diseases. The company utilizes proven and innovative adjuvant technology, such as its CpG 1018® adjuvant, to enhance the effectiveness of vaccines, including its HEPLISAV-B® product. With a commitment to making a global impact on public health, Dynavax actively engages in clinical trials and values driven team collaborations to advance its pipeline of vaccine solutions.

201 - 500 employees

Founded 1996

🧬 Biotechnology

💊 Pharmaceuticals

💰 $200M Post-IPO Debt on 2021-05

📋 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

🎯 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)