Director Data AI & Analytics

Fujifilm

Job Location:

Irvine, CA - USA

Monthly Salary: $ 154565 - 216100

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Position Overview

Position Description

We are hiring a Director Data AI and Analytics. The Director Data AI and Analytics will own the strategy platforms operating model and outcomes for Data AI and Analytics across three FUJIFILM lifesciences highly regulatedGxPenvironments deliver a trusted data backbone governed selfservice analytics advanced analytics bioinformatics pipelines and agentic AImeeting 21 CFR Part 11/EU Annex 11 ALCOA and CSV/CSA expectations. Lead a crosssite team (CoE domain squads) partner with QA/CSV Security Lab IT M&Q Systems and ERP and convert data and AI into measurable business value.

This position is hybrid in Irvine CA.

Company Overview

At FUJIFILM Biosciences we turn curiosity into breakthroughs that advance the field of life sciences. By offering a comprehensive portfolio of products and services in cell culture media discovery research reagents recombinant growth factors and proteins fine chemicals and critical assay materials we partner with the brightest minds in biotech and pharma to tackle the worlds biggest health challenges.

Imagine being part of a team that enables life-changing discoveries like new vaccines therapies and advancements in regenerative medicine. Our culture fosters curiosity collaboration and innovation and we pride ourselves on delivering unparalleled quality and service to our partners. If youre ready to make an impact your future belongs with us at FUJIFILM Biosciences.

Our headquarters in Santa Ana California is surrounded by world-class schools lush parks and scenic beaches like Laguna and Huntington making it an ideal place to live work and explore. With additional campuses across the US Europe China and Japan we offer opportunities to make a difference worldwide.

Fujifilm is globally headquartered in Tokyo with over 70000 employees across four key business segments of healthcare electronics business innovation and imaging. We are guided and united by our Group Purpose of giving our world more smiles. Visit: Description

Responsibilities:

Define the multiyear Data/AI roadmap for locations in California and Wisconsin; align to business priorities and compliance needs.
Stand up a Data AI & Analytics Center of Excellence with domainaligned product squads (M&Q R&D/Bioinformatics Finance/SC).
Run governance: Data & AI Steering Committee Model Risk & Compliance Board; assign data product ownership.
Own the enterprise data platform (lakehouse/warehouse) ingestion (ELT/CDC) orchestration and semantic/metric layers.
Implement catalog/lineage data quality rules accesscontrols;drive data product SLAs and ownership.
Integrate core systems: MES (e.g. PASX) QMS (ETQ/Veeva) LIMS/ELN (LabWare/Benchling) ERP (e.g. SAP/Oracle) OSI PI/AVEVA and instrument data hubs.
Deliver executive and operational analytics (FPY/yield OEE deviation/CAPA TAT batch release QC throughput inventory turns costtoserve).
Enable governed selfservice (certified datasets/semantic models KPI library training community of practice).
Lead data science programs for manufacturing quality supply chain and R&D.
Own bioinformatics analytics and pipelines (e.g. NGS/omics workflows imaging pipelines assay analytics) and integration with lab systems and data platforms.
Build responsible and agentic AI capabilities (assistants/copilots retrieval/grounding task automation) with MLOps (experiment tracking model registry CI/CD monitoring retraining).Separate GxP vs nonGxP AI; ensure intended use explainability validation/CSA and periodic review for regulated models.
Embed compliance by design: 21 CFR Part 11 Annex 11 ALCOA data retention/archival audit trails.
Partner with QA/CSV on riskbased validation test evidence and inspections; maintain validated state for applicable analytics/data flows.
Coordinate with Corporate Security on classification RBAC/least privilege encryption logging/monitoring and incident response for data/AI workloads.
Govern AI safety: model cards redteam testing bias/fairness checks PHI/PII safeguards vendor due diligence.
Prioritize a portfolio of use cases with quantified value; pilot scale winners retire lowvalue work.
Publish a quarterly Data & AI Outcomes report (business impact adoption cost/performance compliance posture).
Select and govern platform vendors (cloud data/ML BI bioinformatics tools) and SIs; negotiate commercials SLAs exit terms.
Drive FinOps: usage visibility rightsizing tiered storage and cost/performance optimization.
Hire and develop data/platform/analytics engineers data scientists/ML engineers bioinformatics engineers and product managers.
Build crosssite career paths and a culture of reliability compliance and measurable impact.

Required Skills/Education:

BS/BA (or equivalent) in Business Computer Science or similar.
10 years leading Data/Analytics functions with 5 years in regulated life sciences (biotech pharma CDMO); multisite/global experience.
Ownership of enterprise data platforms (lakehouse/warehouse) analytics programs andMLOpsin production.
StrongGxP/CSV/CSA knowledge with practical application in analytics/AI and data flows; 21 CFR Part 11/Annex 11/ALCOA.
Handson familiarity with bioinformatics analytics/pipelines (e.g. NGS/omics imaging workflow orchestration) and integration with LIMS/ELN and lab systems.
Proven record converting Data/AI programs into business outcomes (e.g. cycle time yield/FPY cost quality).
Crossfunctional leadership with QA/CSV Manufacturing/Quality R&D Security ERP/MES/QMS owners and vendors.
Excellent executive communication and pragmatic technical guidance.
Platforms: Databricks/Snowflake/BigQuery; Azure/AWS data services; Spark; DBT; Airflow/Prefect; Kafka/EventHub.
BI: Power BI/Tableau; semantic/metrics layers; KPI governance.
MLOps/AI:MLflow/W&BSageMaker/Azure ML; vector DBs/RAG; LLM orchestration; agent frameworks; feature stores.
Bioinformatics:Nextflow/Snakemake CWL/WDL; common tools (e.g. GATK) or imaging/omics pipelines; HPC/containers.
Governance: Collibra/Alation/Atlan; model risk management/AI governance.
Certifications: GAMP 5/CSA ITIL cloud (Azure/AWS) or data governance certifications.
Ability to speak read and write in English.
Good verbal and written communication skills; effective presentation skills.

Salary and Benefits:

For California the base salary range for this position is $154565.00 - $216100. Compensation for the successful candidate will depend on various factors (e.g. qualifications education prior experience location etc.).
Medical Dental Vision
Life Insurance
401k
Paid Time Off

*#LI-hybrid

EEO Information

Fujifilm is committedto providing equal opportunities in hiring promotion and advancement compensation benefits and training regardless of nationality age gender sexual orientation or gender identity race ethnicity religion political creed ideology national or social origin disability veteran status etc.

ADA Information

If you require reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employee selection process please direct your inquiries to our HR Department ().

Required Experience:

Director

Position OverviewPosition Description We are hiring a Director Data AI and Analytics. The Director Data AI and Analytics will own the strategy platforms operating model and outcomes for Data AI and Analytics across three FUJIFILM lifesciences highly regulatedGxPenvironments deliver a trusted data b...