Senior Director, Data and Analytics Platforms
Listed on 2026-03-06
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IT/Tech
Data Engineer, Data Science Manager, Data Security, Cloud Computing
SUMMARY/JOB PURPOSE (Basic purpose of the job):
The Senior Director, Data and Analytics Platforms, will lead a portfolio of cloud products critical to Exelixis's success and ambition to launch innovative medicines for patients. Operating within a product-centric model, the Senior Director, IT Product Management - Cloud Platform will be responsible for defining product roadmaps, fostering cross-functional collaboration, and leading agile product teams to deliver innovative and impactful solutions that accelerate drug discovery, development, and commercialization.
ESSENTIAL TECHNICAL
DUTIES AND RESPONSIBILITIES:
- Drive adoption of data mesh principles, self-service data access, and federated data governance.
- Design and manage large-scale data processing solutions leveraging Databricks, AWS (S3, Glue, EMR, Lambda, Redshift, IAM, Airflow, KMS, etc.), and other cloud-native services
- Design and manage AWS EKS for scaling compute for data applications and data processing
- Design and manage scalable data ingestion pipelines for log analytics and observability
- Design and manage data access controls on AWS using IDC, IAM roles and permissions
- Establish and manage technical data governance controls using tags, data catalogs and other system metadata
- Establish and manage data security, data protection, and access controls across multiple platforms (AWS, Databricks, SaaS apps, AI)
- Implement and optimize data model using dbt, CI/CD workflows, and automated testing for data transformations.
- Drive adoption of data engineering best practices and infrastructure as code (Terraform) for repeatable, auditable deployments.
- Design scalable CI/CD processes with Git Hub for source control, pull requests, and pipeline automation
- Design and manage data access using Databricks Unity catalog
EXPERIENCE/KNOWLEDGE &
SKILLS:
Experience:
- Proven ability to architect and operate large, complex, and secure data environments
- Deep, hands-on expertise in AWS data services, and Databricks
- Strong knowledge of data security, access management, encryption, and compliance frameworks
- Experience implementing data mesh concepts and federated governance at scale.
- Experience managing data access and governance across multiple data technologies such as AWS Redshift and Databricks
- Experience integrating data visualization tools such Tableau, and Spotfire at part of heterogeneous data platform
- Experience with data catalog technologies such as Atlan or Alation for data governance
- Experience managing data platforms in a Pharma GxP regulated environment
- Proficiency in dbt, Git Hub, CI/CD tools (Git Hub Actions, Jenkins), and infrastructure as code (Terraform)
- Design and oversee large-scale data processing solutions leveraging Databricks, AWS (S3, Glue, EMR, Lambda, Redshift, IAM, EKS, KMS, etc.), and other cloud-native services.
- Hands on experience programming/scripting with a modern data engineering language (Python, SQL, Spark, etc.)
ESSENTIAL DUTIES/RESPONSIBILITIES:
Product Strategy and Roadmap
Define, evangelize, and drive the enterprise vision and multi-year strategy for a portfolio of cloud products.
Engage senior business leaders and functional executives across R&D, Clinical, Commercial, G&A, and Medical Affairs to shape product direction, uncover unmet needs, and translate strategic opportunities into actionable product roadmaps.
Design and conduct the market research, competitive analysis, and technology trends assessment to identify new opportunities and ensure our data platform remains cutting-edge and competitive within the life science landscape
Ensure a balanced portfolio of short-term wins and long-term strategic investments by prioritizing product initiatives based on business value, technical feasibility, regulatory compliance, and resource availability.
Serve as a consultant for architecture and design patterns review to build the data solutions in right and secured manner.
Product Development and Delivery
Own the entire development lifecycle from ideation to launch and post-launch optimization, recommending and implementing improvements where needed (e.g., Agile Scrum, Kanban).
Set the standard for product definition and delivery by guiding the creation of…
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