Senior Director, Data and Analytics Platforms

Summary / Job Purpose

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.

• 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:

• 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.)

Knowledge, Skills and Abilities:

• Comprehensive level knowledge of Amazon Web Services (AWS).
• Comprehensive understanding of product management methodologies (e.g., Agile, Scrum, Kanban) and product lifecycle management.
• Comprehensive technical acumen with the ability to understand complex IT architectures and development processes.
• Advanced leadership and team-building skills, with the ability to inspire and motivate diverse teams.
• Comprehensive strategic thinking and problem-solving abilities, with a data-driven approach to decision-making.
• Advanced communication, presentation, and interpersonal skills, with the ability to influence and collaborate effectively at all levels of the organization.

• 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.

• 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 high-impact user stories, acceptance criteria, and product specifications that reflect business priorities and user needs.
• Partner at a strategic level with engineering, architecture, and quality…